Industry 4.0 technologies impact on supply chain sustainability.
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On the foremost, the youths’ colossal neglects of agriculture business versus very high unemployment rates and the consequential poverty and misery in the country, for me, are unacceptable. More, so, this scenario is worsen by the population explosion demanding for food and the influx of imported food into the country, which further overstretched the country’s balance of payment crises. Another observable and convincing scenario is the under developed agricultural food processing systems in Nigeria deserving cogent attention. Traditionally, the country produce primary crops like cocoa, cotton, tomatoes, grains, ginger, etc., but imports beverages, textile materials, canned tomatoes, malt-drinks, ginger drinks, etc. imposing unbalance trade of payments leading to constant devaluation of our currency, which has to stop. Furthermore, the perceived very high potentials of agribusinesses in Nigeria and, under tapped agro-industry value-chains in many states of Nigeria calls for strategic attention and investment. Indeed, the availability of management skills could be very much helpful in order to arrest these ugly trends by adding value to agricultural products thus, boost rural incomes, reduce youth restiveness, boost GDP and improve balance of payment deficit in the long-run.
\nThe objectives of the paper is to give readers, policy makers, micro agribusiness investors, farmers and local government administrators a clear understanding of the following:
Meaning of small-scale agribusiness
Classification of small-scale agribusiness
The nature and scope of small business in Nigeria
A good business plan
Importance of good business plan
Preparing a good business plan
Features of a good feasibility study
Writing a good business plan
A business is a concern, an enterprise, or organisation set up by an individual or group of individuals for making profits from operations of the concern. According to [1], a business is an initiative, which involves the production of goods and services to meet up consumers’ need and satisfaction. Agribusiness ventures in Nigeria comprises of micro, small and medium to large productive units. Indeed, the description of what small agribusiness means varies from one country to another. It also differs from one industry to another, where each country tends to derive her definition with understanding of the role agribusinesses perform in the growth and development of the country. More so, definitions of micro agribusiness do change overtime with respect to price levels, levels of technology and other considerations. Indeed, small agribusinesses are synonymous with small- and medium-scale enterprises (SMEs) in the context of this paper. In most developed countries, SMEs are usually referred to as small businesses.
\nOn this note, a small agribusiness is an agricultural enterprise owned and operated privately with a small number of employees and relatively low volume of sales and income. Small agribusinesses are business concerns with a total capital investment not more than 2 million (₦2, 000, 000) and the number of employees not more than 50 [1].
\nThe methods used to classify small agribusinesses include but not limited to number of employees, annual sales and/or turnover, value of assets and net profit (balance sheet). According to [2, 3], small agribusiness classification differs amongst countries. For instance, in Australia, the Australian Bureau of Statistics classifies small agribusinesses as those employing fewer than 20 persons. The Australian tax office uses average annual turnover of less than $1 million and net assets of less than $3 million as the criterion in this classification. In Canada, agribusinesses are small if it has less than 100 workers in manufacturing and in the service subsector less than 50 workers. Similarly, in UK, the classification of agribusinesses goes thus; it is micro, if the number of full-time workers is less than 10; small business if the full-time workers range from 10 to 49. More so, UK further classified agribusinesses as medium sized with the number of full-time workers ranges between 50 and 249. Lastly, agribusiness are considered large, if the number of full-time workers is 250 and above.
\nIn Nigeria, the classification of agribusinesses takes dissimilar dimension. In addition to the classification based on the number of full-time workers, volume of assets is also considered. The volume of assets consideration however, excludes investment in landed properties in the classification. Notable classifications of the agribusinesses, according to [4] includes small agribusiness, which refers to enterprises with investment and working capital of 750,000 or less and the number of full-time employment stands at 50 workers or less. The medium-scale agribusinesses are enterprises that are functioning with investment and working capital within the range of over 750,000 and 3 million. However, the current inflation trend in the country put this classification in jeopardy, as these figures are unreliable. Hence, the National Council of Industry gave a more realistic classification, which includes:
The micro and cottage industry relative to agribusinesses has a total investment and working capital of not more than ₦1.5 million; and, a labour size of not more than 10 workers and excluding landed properties.
Small-scale agribusiness industry are businesses with a total capital of not more than ₦50 million including working capital, and, a labour size of not more than 100 workers minus cost of landed properties fits into the categorisation of ‘small-scale agribusinesses’.
Medium-scale agribusiness industry has a total investment and working capital of not more than ₦200 million including working capital, and a labour size of not more than 300 workers. This however excludes the cost of landed properties.
Large-scale agribusiness industry includes businesses with a total investment and working capital of over ₦200million, and a labour size of over 300 workers minus cost of landed properties.
Small agribusiness activities in Nigeria found in these areas as identified by [2, 3] include:
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This chapter also provides varieties of small agribusinesses that are commonly found and/or could be profitably practice in Nigerian soil:
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More so, [5] listed several small agribusiness enterprises, which intending small-scale investors could consider. They includes farmer’s market vending, herb growing, vegetable farming, livestock feeds production, fruit packaging, nursery operation, dairy farming, poultry farming, fish farming, rabbit raising, snail farming, mushroom farming, beekeeping, honey production, beeswax processing, soy production, food delivery, and bulk foodstuff wholesaling. Others includes weed killer production, fruit canning, jam production, juice production, meat packing, hatchery operations, florist business, spice production, nut processing, organic gardening, sustainable farm consulting, agricultural equipment rental, worm farming, Christmas tree farming, firewood production, tree seed supply, oil production, potted plant sales, butterfly farming, wool production, pet food production, planting service, farm sitting, corn maze operation, petting zoo operation, agritourist/agro-tourism, lease hunting, and field crop farming. Explanatory note on 10 of these agribusiness options are as presented herewith:i.
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The owner of any of the businesses listed above is refers to as an entrepreneur. S/he provides the capital required for the running of the business. S/he is the chief coordinator, controller and organiser of the agribusiness. Readers should learn the basis of agro-industrial value-chains and their environments explicitly, the technologies required as well as the emerging trends in technologies. It is of paramount importance to learn the skills for examining food industry, agribusiness systems, cost structure and sources of revenue in food industries. More so, the knowledge of international trade and agricultural policies, international monetary environment as it affects food and agro-allied industries, social and legal issues in the management of food and agro-allied industries are paramount. The knowledge of social and economic impact of food and agro-allied industries on the environment, developmental trends in food technologies and agro-allied industries is of great importance to small-scale agribusiness investors.
\nA business plan means a formal written expression of outlined business goals. The definition also expresses the reasons why these goals are attainable and how to achieve them with the scope of available means. It contains background information about the enterprise and the entrepreneur. Thus, a good business-plan entails a clear statement of desired objectives, decision made and how to systematise and manage the scarce organisational resources to achieve the set objectives within a given period. More so, [6] gives the meaning of business plan as carefully refined thoughts and deliberate efforts a firm put in place from the onset towards achieving goals and/or the objectives. Indeed, the manner of utilising organisational resources gives the cardinal measure towards achieving profitability and/or other goals.
\nHence, an agribusiness plan in the context of this paper revolves on four fundamental strategic questions, which includes ‘what’, ‘how’, ‘where’ and ‘when’ of the actions orientation in every business endeavour.
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A good business plan has the following importance:
A good business plan adequately defines the vision and mission of the business. It identifies the key components of the goals, which eventually serves as implementation resume.
Good business plan adequately allocate firm’s available resources to handle foreseen and unforeseen challenges properly, in making crucial business decisions.
A good business plan adequately provides information to all crucial segments of the business intent. The plan must as well inform the manager and/or all business actors on their roles, individually and collectively towards goals attainment.
A good business plan vigorously pursues the most cost-effective processes that are easiest, fastest and cheapest to accomplish the set goals. This must be properly coordinated in an articulate manner to accomplish the set goal. Nevertheless, the easiest, fastest and cheapest as used in this context does not mean compromising standard. Indeed, operations standard must be maintained at all cost whilst pursuing the set goals of the firm.
A good business plan bridges the gap from ‘where we are’ and ‘what we have’ to ‘where we want to be’ as well what we want to achieve. A journey of thousand miles start from zero (where we are), which progresses steadily to the destination (where we want to be).
More so, a good business plan gives guidelines on the steps to be taking in a bid to achieve the target goals, whilst taking into account the realities of the available scarce resources. It must be well noted that every business is tied to the scope of available resources in order to achieve the desired goal(s).
In preparing a good business plan, it is crucial to find out whether or not (i) there exists viable market(s); or a new market platform can be created with easy for the product? (ii) How can the raw materials be obtained with ease? (iii) How can the skill labour be sourced with easy and at affordable cost? (iv) Is the necessary infrastructure readily available to facilitate operational activities? (v) The information on the costs of equipment, consumables and raw materials are known with absolute certainty. (vi) The sources of the expected income are known with absolute certainty, as well as been cost effective. (vii) There exists feasibility study report to guide the execution of the intended activities in the business plan.
\nIndeed, feasibility study report is the outcome of the preliminary investigation together with the analysis of the programmes outlined in a project to determine its viability, costs, resources requirements and profitability measures. Put differently, feasibility study report is a comprehensive details required for the business planning process. According to [7], feasibility study report communicates project’s potentials and the liabilities associated with it within a given period. The report provides all the necessary guides for plan preparation from initiation to project execution. Furthermore, it gives direction to rational decision-making and provides whether or not to undertake the business. It also pertinent to note that no known fixed approach(es) to define feasibility study report exists. However, a good feasibility study report must be detailed, comprehensive and clear enough to assist the entrepreneur in making the right business decision.
\nA good feasibility report must be able to highlight the following:
Provides the foreground information for the business plan
It contains market details in the study report
It reflects on technical details in the study report
It consists of detail financial implication analysis in report
We will now discuss each of them:
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On note of these backdrop discussions, agribusiness value-chain actors should bear in mind the facts that feasibility study report is not synonymous to ‘business plan’. Indeed, both terms are related but should not be mistaken to mean the same. Whilst ‘business plan’ is a statement describing what is to be done, how feasible or viable is it; the feasibility study explicitly conveys the viability of a business after data gathering and analysis, it comes up with a report, which serves as input for deciding the structure of a business plan. This means feasibility study precedes business plan as raw material.
\nAfter the feasibility study report, the planner gets the clue for creating the business plan; s/he has what it takes to write a good business plan. With the relevant information at hand, investors understand how to handle the what, how, where and when questions components of the plan. Therefore, agribusiness planner should enlists all the activities in each decision area of the business operational functions, what is to be produce, market, finance and workforce of the business venture. Thus, various elements expected of a good business plan comprise:
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This chapter provides a guide for synthesising planning and entrepreneurial skills to help famers, micro investors, and local authorities to engage in small-scale agribusiness value-chains in Nigeria. It provides alternatives business strategic options for harnessing agribusinesses potentials, ranging from production, distribution, processing of agricultural products to service integration in such a manner to convert agricultural outputs for regular and timely supply of domestic and international needs. More so, this chapter help in ameliorating the current outcry for economic diversification to generate employment for teaming youths in Nigeria. Indeed, most agribusiness investors in Nigeria, experience failure due to the dearth of requisite business planning skills for the survival and growth of small-scale agribusiness value chains in the face of modern realities. Thus, this brief provides literal support for the concerted efforts of government to boost the agriculture sector as a viable alternative to over reliance on oil sector and to meet up the challenges of growth and development posed by global economic meltdown.
\nThis chapter is recommended for use as reference material for current and prospective small-scale agribusiness investors to brings benefits such as risk reduction, cost savings, and high income generation through combination of known production planning and business management skills. This brief adopts discursive taxonomy, interpolating elicited facts from available literature, couples with the knowledge of on-the-job-experience to promote and support the development of businesses strategy for the transformation of the agricultural sector value-chains in Nigeria.
\nIndustry 4.0, often known as smart manufacturing, is built on information technology (IT)-driven industrial processes [1]. It combines smart factories and products with the Internet of Things [2, 3], with the goal of providing real-time information on production, machines, and component flow, and integrating this data to assist managers in making decisions, monitoring performance, and tracking parts and products.
Big data analytics (BDA) is the collecting of real-time data, the use of analytical tools, and the use of computer algorithms to derive relevant insights and patterns for better decision-making using data, text, audio, video [4]. Big Data 6Vs framework describe Volume, a very large amount of data; Velocity, the data are generated very quickly and must be processed in a very short time; Variety, a large number of structured and unstructured data types are processed; Value, the goal is to generate significant value for the organisation; Veracity, reliability of the processed data; and Variability, flexibility to adapt to new data formats by collecting, storing, and processing them. BDA aids in the achievement of long-term corporate success and competitive advantage [5].
Internet of Things (IoT) allows devices to communicate with one another without the need for human involvement [6]. The Internet of Things is based on a network of devices, each of which has its own unique identity to the computer system to which it is attached. IoT-controlled industrial systems are intelligent because they can accurately and efficiently operate all linked equipment from afar [7]. For example, big data has been utilised to enhance product development [8], SC demand forecasts [9], and green production strategies [8, 10].
Blockchain is a distributed data structure—a distributed ledger—in which the data is shared on a peer-to-peer network. The network members and nodes communicate and validate the data following a predefined protocol without a central authority. Distributed ledgers can be either decentralised, giving equal rights to all users or centralised, providing specific users with special rights.
Artificial intelligence (AI) is a field in computer science encompassing the development of systems capable of performing tasks that normally necessitate human intelligence. The science of making machines do things that would require intelligence if done by men. Three main functions are sensing and interacting, learning from the data and decision making.
Autonomous vehicles as more environmentally friendly automobiles are capable of sensing its navigation without human input, thus the costs, emission level and working time can be reduced dramatically. They can be used not only for long distances, but also for operational level of the supply chain.
Additive manufacturing (AM) begins with the creation of a three-dimensional digital model using computer-aided design software, followed by the formation of the finished object using a 3D printer [11]. AM helps to Industry 4.0 goals by generating personalised items in small batches and producing complex and lightweight designs with great precision [3].
Cloud manufacturing is a method of providing a shared network of manufacturing resources and capabilities through the internet by establishing a virtual and global environment. The logic of cloud manufacturing is service-based, which means providers and consumers interact to sell and acquire services such as product design, simulation, production, and assembly [12].
The Cloud computing (CC) is an Internet-based third-party service provider for data or database storage. The cloud is housed at a faraway location, not at the area where production takes place [12]. The CC has the advantages of lower operating costs, faster service, and simple accessibility [13].
Sustainability is a multi-dimensional concept incorporating economic, environmental, and social dimensions of business. Primary goal of any commercial enterprise is to make profit for long tern economic sustainability by balancing costs and revenues in sourcing, production and distribution of goods and services. Due to global pressure, climate change and pollution, environmental sustainability has taken centre stage in today’s business [14]. The focus is to minimise natural resources use, waste and pollution (air, water, land), and increased renewable energy use in production and distribution. Social sustainability includes working environment, employee morale and satisfaction, equity and social integration of communities. Industry 4.0 technologies (I4T) help manufacturing companies achieve long-term goals by reducing lead times, providing customised goods, improving product quality, improving the working environment, and employee morale [15]. Organisations have been compelled to adapt smart production systems which are more adaptable, intelligent, and agile, and allows to address the demands of a dynamic and global market [16].
Sustainable development is crucial necessity for the survival of humankind, which should integrate sustainable production and consumption [17]. Sustainability is three-dimensional concept encompassing economic, environmental and social (triple bottom line). Sustainable supply chain enables the management of material, information and capital flows as well as the cooperation among companies along the supply chain while taking goals from all three dimensions of sustainable development (economic, environmental and social) into account which are derived from customer and stakeholder requirements [18]. One of the key features of Industry 4.0 enabled by CPS, IoT, and big data analytics, is data accessibility and real-time information, which may help companies achieve low cost, high quality, low risk sharing, more flexible SC planning and effective decision making. Industry 4.0 allows for long-term purchase of more personalised items [19]. I40 opens up new and long-term commercial prospects by maximising resource efficiency, enhancing manufacturing flexibility, and reducing time to market [20]. IoT controlled industrial systems are clever as they can accurately and efficiently operate all linked equipment from afar [7]. Various I4T is shown to have a good influence on the organisations’ long-term success. However, there is a dearth of empirical evidence in the literature to substantiate the influence of I4T on sustainable operating practices in various industries [15]. I4T contribute to long-term operations management choices and new business models by connecting value chains through data collection and exchange [3, 21]. As a result, long-term operations management decisions help to establish a link between circular economy (CE) principles and Industry 4.0 concepts.
The search for a more sustainable production and consumption system is so important now that the United Nations Organisation (UNO) has made it one of their most important social goals for long-term development [22]. The ultimate goal of implementing sustainability into production is to take the industry to a world-class level of sustainable manufacturing [23]. Moghaddam et al. [24] developed several reference designs for sustainable smart I40 factories to dealt with the production of environmentally friendly products. Nascimento et al. [25] proposed a circular economy (CE) business model using I4T for recycling garbage. Kiel et al. [26] classified Internet of Things (IoT) issues and benefits that centred on the long-term value creation. Waibel et al. [20] investigated the effects of smart production systems in terms of resource efficiency and sustainability. Zambon et al. [27] proposed an Agriculture 4.0 through the virtualization of the Agro-food chain. Ding [28] conducted a literature review to identify the barriers of incorporating sustainability into the pharmaceutical SC and proposed I40 application in SC known as Pharma 4.0. Bag et al. [29] developed a framework incorporating thirteen enablers I40 affecting SC sustainability. Tsai and Lu [30] developed a I40 based production planning and control framework using a carbon price. Ghadimi et al. [31] suggested a multiagent system to automatically analyse and choose suppliers that contribute to sustainable SC. Belaud et al. [32] developed agriculture 4.0 by integrating I40 into a SC and waste valorization using big data to improve sustainability management. Sensing, smart, and sustainable technologies were identified as crucial aspects of future sustainable goods [33]. Bibaud-Alves et al. [34] used I4T to establish a relationship between the development process of new goods, digital transformation, and sustainable development. Paravizo et al. [35] offered a conceptual framework using I40 for developing gamified apps that focus on sustainable manufacturing. Kamble et al. [15] reviewed 85 articles on I40 and established a sustainable industry 4.0 framework. Stock et al. [36] carried out qualitative assessment of I40 that enables ecological and social sustainable development. Hidayatno et al. [37] proposed a conceptual model to assess the effect I40 technology on sustainable energy in Indonesian industries. Bonilla et al. [38] used multiple development scenarios to assess the impact and challenges of I40 implementation on long-term sustainable development. Man and Strandhagen [21] presented I40 and sustainability adoption into various business operations. Luthra and Mangla [39] conducted a literature analysis and categorised eighteen I40 implementation challenges of sustainable SC into four categories: organisational, strategical, legal, and ethical. Ardanza et al. [40] demonstrated a human–machine interface using I40 that enable operators to be more productive and safer. Meng et al. [41] carried out literature review on sustainability and energy efficiency in smart factories, their interaction, benefits and issues. Chaim et al. [42] examined the feasibility of using key performance indicators (KPIs) to assess sustainability in I40 virtual learning environment. Kamble et al. [43] analysed the barriers of I40 adoption in manufacturing industry.
Manavalan and Jayakrishna [44] examined the IoT application for a sustainable SC and suggested software to organise material resources in businesses. Birkel et al. [45] proposed a risk framework using I40 for sustainable manufacturing in SMEs using a long-term strategy. Jabbour et al. [46] identified eleven critical success factors for implementing I40 and environmentally sustainable manufacturing and proposed an integrated framework for future research. Kamble et al. [15] investigated the barriers to I40 adoption in Indian manufacturing and analysed their driving and dependence relationship. Monteleone et al. [47] suggested a water management conceptual model in agricultural 4.0. [48, 49] carried out empirical study of 234 manufacturing firms in Pakistan to investigate the effect of I40 on green practices in manufacturing and logistics, which have substantial effect on sustainability of the firms.
Chalmeta and Santos-deLeón [50] carried out literature review on I40, big data and sustainable SC. Mastos et al. [51] provided IoT application for scrap metal waste management. Strandhagen et al. [52] proposed I40 solutions to shipbuilding supply chains sustainability challenges in a case company. Yadav et al. [53] identified 22 I40 and CE based solutions measures to overcome 28 sustainable SC challenges in an automotive industry using BWM-ELECTRE.
Belhadi et al. [54] carried out empirical study by collecting data from 306 organisations in Europe, Asia and Africa to explore the role of digital business transformation, organisational ambidexterity and circular business models on the relationship between I40 capabilities and sustainable performance. Fatorachian and Kazemi [55] conducted exploratory research based on inductive reasoning and systems theory to explore the impact of I4T on SC performance in terms of integration, information sharing and transparency, processes improvement in procurement, production, inventory management and retailing through digitisation, automation, and analytical capabilities. Kumar et al. [56] analysed critical success factors for I40 implementation in circular SC. Kumar et al. [57] studied the barriers of integrating I40 and CE in the agriculture SC using ISM-ANP and concluded that government policies, support and incentives is major barrier. Kusi-Sarpong et al. [58] adopted I40 initiatives for sustainable supplier selection in circular SC. Mastos et al. [59] used I40 technologies to redesign SC for circular economy with key identified benefits of improved availability of personnel and fleet resources, and SC traceability through the full visibility and automation. Mubarik et al. [60] collected data from 154 electrical and electronics Malaysian firms and found that I40 application impact SC mapping and visibility. Sharma et al. [61] found in the study that the environmental and social factors were the highest-ranked drivers while organisational and environmental dimensions as the highly ranked barriers of I40 adoption with the sustainability context in multi-tier manufacturing SC. Umar et al. [48, 49] studied the effect of I40 on sustainable operations and green SC practices.
Industry 4.0 technologies are intended to play a key role in guiding industrial and social organisations toward long-term sustainability [46]. I4T makes it easier to achieve a high level of process integration, which improves organisational performance across three aspects of sustainability [15]. Braccini and Margherita [62] explored the impact of I40 adoption in a case study of a ceramics manufacturing firm and found that product quality and productivity improvement, energy monitoring and consumption reduction, safe work environment and job satisfaction for workers. Birkel and Muller [63] provided a literature review on potential of I40 on SC triple bottom line of sustainability in planning, sourcing, logistics and recycling logistics. Digital and smart manufacturing processes, machines and devices are likely to offer advantages of manufacturing productivity, resource efficiency, and waste reduction [64].
On the economic front, I4T makes a significant contribution to value creation, production flexibility, and product customization, which lead to higher consumer satisfaction [3]. Automation and digitisation capabilities of I40 help manufacturers achieve shorter lead times, cheaper manufacturing costs, and higher quality [11, 65]. I4T helps in raw material inventory reduction and efficient capacity utilisation [66]. The data offered by cloud manufacturing and IoT may be used to alter the design, production, and logistics choices of sustainable operations management [46]. IoT applications enable the reuse of resources in a remanufacturing process. The data generated by IoT sensors is evaluated using a mathematical model in order to lower expenses and dynamically manage limited resources [67]. Blockchain capabilities can support sustainable supply chains, which can help reduce the product recall and rework, and trace actual footprint of products; and reduce fraud [68]. Dev et al. [69] adopted agent-based modelling and decision trees to facilitate inventory and supply chain reconfiguration issues of a mobile phone supply chain. The information gathered by I40 may be used to improve product life cycle and industry’s economic performance. Using Additive manufacturing (AM) and IoT together can help create a more sustainable manufacturing process by increasing resource efficiency and reducing recovery procedures [70]. Big data technology can influence the SC methods in terms of eco-efficiency and long-term performance. Esmaeilian et al. [71] reviewed capabilities of Blockchain as enabler for the successful implementation of sustainability and circular economy concepts under four main categories of (i) promoting green behaviour through designing specialised tokens, (ii) enhancing the visibility of product lifecycle, (iii) increasing systems efficiency and decreasing development and operational costs, and (iv) enhancing corporate performance reporting and sustainability monitoring capabilities. Digital supply chain may offer benefits of higher operational efficiency, ad-hoc dynamic planning, collaborative planning, collaborative product design, marketing effectiveness, financial flow, and deeper customer integration [72]. CPS, IoT, and big data analytics, enable a flexible supply chain planning and effective decision making, which may help to achieve high quality with low cost and risk in sustainable purchasing [19].
In terms of the environment, real-time data acquired from various value chain partners assists organisations in effectively allocating industrial resources such as materials, energy, water, and products [3, 46]. I4T also support reduced greenhouse gas emissions [73], energy consumption [74], reduced fuel consumption as a result of improved transportation and logistics planning; and the use of advanced tracking and monitoring systems [75]. The Big data offers predictive analytics that improve environmental and social sustainability [76, 77]. The inclusion of sensors in goods enables performance monitoring such as tracking maintenance requirements-allowing businesses to deliver high-quality service to clients on a proactive basis. Further, organisations may invest in extending product life spans by using the 3Rs (reduce, re-use, and recycle) and monitoring items throughout customer usage. Cloud manufacturing and IoT can gather data from processes and things, such as machinery, allowing for the faults detection that might result in waste. Managers may also monitor and regulate the performance of operations based on production and resource consumption criteria, such as energy usage; the use of sensors would allow them to intervene in processes, even during component/product manufacturing. Machine efficiency might also be monitored in real time in order to schedule maintenance and avoid wasting resources [46]. Blockchain offers visibility, transparency, relationship management, and smart contracting which in turn offers environmental as well as economic benefits and plays a positive role in circular economy [78]. Abdella et al. [79] proposed machine learning using a set of environmental, social and governance criteria to predict sustainability performance across the supply chain. The revolution of autonomous vehicles can provide several benefits particularly in transportation part of the supply chain to reduce the damaged products. Automated guided vehicles (AGV) help in efficient materials handling operations improving the environmental and social sustainability. Krueger et al., [80] analysed possibilities of shared autonomous vehicles implementation implemented in a logistic cluster in public transport industry to improve utilisation of assets and reduce environment effect. Additive manufacturing result in less material being used and requires recycling of tiny amounts of trash due to mobility of 3D printers [70]. The usage of AM also helps to improve the sustainability of a manufacturing process by lowering the materials use and energy consumption. I40 help in energy monitoring that will result into increased energy efficiency and lower CO2 emissions [81]. AM and IoT can aid in improving reverse logistics operations, such as tracking and tracing end of use and end of life items and monitoring recycling activities to pave the way for a long-term route toward circular manufacturing [82]. Cloud technology allows for the capture, exchange, and sharing of dynamic life-cycle data, as well as SC partnerships for environmental footprint assessment [83]. Cloud-based service platform can help in improved decision-making and thereby minimise greenhouse gas emissions in the transportation and logistics industries [84]. Big data analytics in process control, for example, might help in pollution control and natural resource management [85]. Cyber-physical systems aid in production without generating waste or consuming unnecessary resources; the IoT enables mass customization and production that meets demand without producing excess inventory; cloud manufacturing enables controlled resource consumption (e.g., raw materials, energy, water); and additive manufacturing proactively maintains products, saves energy, and reduces waste from defective products [2, 20, 86]. By designing goods based on precise consumption data, cyber-physical systems improve customer satisfaction. As a result, using the 5Rs technique (reduce, repair, re-use, recycle, and remanufacture) [86, 87], it is feasible to develop goods with longer life spans. CPS and IoT aid in the planning of energy and carbon-efficient logistics routes, as well as assisting suppliers in managing their own performance in terms of production planning, delivery quality and reliability, and environmental compliance via remote monitoring [88]. In smart factory, communication efficiency, transparency, surveillance, and control will minimise downtime, waste, defect, and risk across production processes [89].
On the social front, I4T provides a plethora of options for employees to learn new technology, boosting morale and motivation [73, 74]. I4T provides employees with a better and safe working environment [15]. AI and data analytics can help in personalised career development programs based on the behaviour, experience, skills, personality, and learning patterns of each employee [90]. I4T will create new jobs in area of informatics, mechatronics, process engineering, and system integration [91]. Industry 4.0 technologies impact on supply chain sustainability is summarised in Table 1. Industry 4.0 sustainability benefits are shown in Table 2.
Industry 4.0 Technology Features | ||
---|---|---|
Automation | Integration | Modularity |
Real-time capability | Flexibility | Interoperability |
Virtualisation | Decentralisation | Data quality and availability |
Servitisation | Product and service customisation | Transparency |
⇩ | ||
Process and Production efficiency | Material and Resource use reduction | Worker’s productivity improvement |
Cost effectiveness | Energy Consumption reduction | Working condition improvement |
Quality improvement | Water Consumption reduction | Worker’s Health and safety improvement |
Scalability | Waste reduction | Equity |
Profit Margin improvement | Air pollution and GHG emission reduction | |
Reverse logistics reduction |
Industry 4.0 technologies impact on supply chain sustainability.
Sustainability Benefits | Herrmann et al. [74] | Peng et al. [84] | Despeisse et al. [70] | Hofmann and Rüsch [88] | Waibel et al. [20] | Zhao et al. [85] | Keil et al. [26] | Fatorachian and Kazemi [92] | Ghobakhloo [93] | Jabbour et al. [46] | Kamble et al. [15] | Luthra & Mangla [39] | Muller et al. [94] | Stock et al. [36] | Stone et al. [90] | Tortorella and Fettermann [64] | Ghobakhloo & Fathi [91] | Braccini & Margherita [62] | Saberi et al. [68] | Dev et al. [82] | Garcia-Muina et al. [95] | Khan et al. [78] | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Lead time reduction | x | ||||||||||||||||||||||
Customer specific planning | x | x | |||||||||||||||||||||
Autonomous supplier selection and procurement | x | x | |||||||||||||||||||||
Improved supply chain resilience | x | ||||||||||||||||||||||
Downtime prediction | x | x | |||||||||||||||||||||
Aligned production and logistics | c | x | x | x | |||||||||||||||||||
Logistics process efficiency | x | x | x | ||||||||||||||||||||
Faster delivery | x | x | x | ||||||||||||||||||||
Order accuracy | x | ||||||||||||||||||||||
Recycling cost reduction | x | x | |||||||||||||||||||||
Repair and maintenance efficiency | x | x | |||||||||||||||||||||
Resource consumption reduction | x | x | x | ||||||||||||||||||||
Energy consumption reduction | x | x | x | ||||||||||||||||||||
Sustainable Process optimisation | x | ||||||||||||||||||||||
Environmental monitoring easier | x | ||||||||||||||||||||||
Physical prototyping reduction | x | ||||||||||||||||||||||
Scrap reduction | x | x | |||||||||||||||||||||
Transport optimisation | x | ||||||||||||||||||||||
Transparency | x | ||||||||||||||||||||||
Tracking and tracing of recycling | x | x | x | x | x | x | |||||||||||||||||
GHG emission reduction | x | x | |||||||||||||||||||||
Safe working environment | x | x | x | ||||||||||||||||||||
Reduction of hazardous tasks and stress | x | x | x | ||||||||||||||||||||
Learning and training improved | x | x | |||||||||||||||||||||
Hazardous recycling process reduction | x | x |
Industry 4.0 sustainability benefits.
Industry 4.0 technologies such as AI, ML, IoT, Big data, Block chain technology, VR, AR, CPS, Industrial Autonomous Robotics, Cloud computing etc. are being adopted in manufacturing and supply chain throughout the world but slowly. Researchers and professional managers believe that I40 offers integration, interoperability, real-time capability, quality data, modularity, decentralisation, product customisation, servitisation, collaboration, transparency and virtualisation, which may positively impact sustainability. On economic dimension, I4T adoption in supply chain will improve supply chain efficiency, quality, resilience, customer specific planning, production and logistics alignment, on-time delivery, order accuracy, downtime prediction, and repair and maintenance, supplier selection and procurement, and reduce lead time. Economic sustainability will reduce cost and improve profitability. I40 acts environment friendly as its adoption will lead to reduction of raw materials and resources, energy consumption, GHG emission, scrap and waste, physical prototyping, transparency, tracking and traceability. It will enhance sustainability processes and transportation and environmental monitoring. Regarding social sustainability dimension, I4T can offer safe working environment and flexibility, reduce stress and hazardous tasks, and improve learning and development. It is not free from challenges. Human activities such as inventory tracking, quality control, and even product distribution may be performed by Industrial robots, automated vehicles, and intelligent machines and there would be loss of jobs [96]. At the same time, it will provide opportunity for new jobs in I4T. Most of the studies are theoretical. Hence, it needs to be supported by qualitative and case studies.
Data collection and monitoring, information sharing, tracking, decision-making, and coordination between organisational areas and SC partners are technical and organisational factors that could influence the integration of Industry 4.0 and environmentally sustainable SC decision-making. This paper argues for an integrated approach to the issues that Industry 4.0 technologies may unleash the full potential of ecologically sustainable SC. The impact of Industry 4.0 technologies in economic dimension of triple bottom line is efficiency, flexibility, productivity and quality, which will enhance economic performance. On the environmental dimension, better resources utilisation, more quantity production, reduction of waste and energy will result into environmental performance. Finally on societal dimension, better labour utilisation and safe working conditions due to digitalisation and automation. The goal of this paper is to highlight the convergence of two important subjects; Industry 4.0 and sustainable SC with triple bottom line considerations. These two aspects have mostly been investigated separately. Industry 4.0 has the potential to increase ecologically sustainable production, distribution and consumption by allowing for the creation of green products, green manufacturing processes, and green SCM in ways that have never been possible before. On the other hand, the synergy between Industry 4.0 and ecologically sustainable production and distribution is contingent on a number of important success factors. Industry 4.0 adoption is faces few challenges. I4T need to be connected continuously and massive data centres will increase energy consumption. Therefore, it is necessary to balance energy savings and additional energy requirement in I40 adoption. I40 device replacement may also create additional waste. In recycling, sharing information about product by manufacturer, product use and transparency is also a matter of concern that needs to be addressed. Initial high investment and return also need to be studied. Major limitation of the study is the theoretical aspect. It is suggested that these theoretical research propositions be further explored, either through qualitative research or further investigated using quantitative methodology.
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Radiotherapy and Nuclear Medicine Technology has always been my aspiration and my life. As years passed I accumulated a tremendous amount of skills and knowledge in Radiotherapy and Nuclear Medicine, Conventional Radiology, Radiation Protection, Bioinformatics Technology, PACS, Image processing, clinically and lecturing that will enable me to provide a valuable service to the community as a Researcher and Consultant in this field. My method of translating this into day to day in clinical practice is non-exhaustible and my habit of exchanging knowledge and expertise with others in those fields is the code and secret of success.",institutionString:null,institution:{name:"Majmaah University",country:{name:"Saudi Arabia"}}},{id:"313277",title:"Dr.",name:"Bartłomiej",middleName:null,surname:"Płaczek",slug:"bartlomiej-placzek",fullName:"Bartłomiej Płaczek",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/313277/images/system/313277.jpg",biography:"Bartłomiej Płaczek, MSc (2002), Ph.D. (2005), Habilitation (2016), is a professor at the University of Silesia, Institute of Computer Science, Poland, and an expert from the National Centre for Research and Development. His research interests include sensor networks, smart sensors, intelligent systems, and image processing with applications in healthcare and medicine. 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Several international research projects has been performed with European partners from France, Netherlands, Norway and the UK. He is currently Professor of Communications Systems at the Harz University of Applied Sciences, Germany.\n\nPublications and Publishing\nHe has edited one book, a special interest book about ‘Optoelectronic Packaging’ (VDE, Berlin, Germany), and has published over 100 papers and is owner of several international patents for WDM over POF key elements.\n\nKey Research and Consulting Interests\nUlrich’s research activity has always been related to Spectroscopy and Optical Communications Technology. Specific current interests include the validation of complex instruments, and the application of VR technology to the development and testing of measurement systems. 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After positions as a lecturer at the University of Port Elizabeth, he accepted a position as Associate Professor at the University of Pretoria, South Africa.\r\n\r\nIn 1992, he motivates the concept of 'television and computer-based education” as means to reach large student numbers with only the best of teaching expertise and publishes an article on the concept in the SA Journal of Higher Education of 1993 (and later in 2003). The University of Pretoria subsequently approved a series of test projects on the concept with outreach to Mamelodi and Eerste Rust in 1993. In 1994, the University established a 'Unit for Telematic Education ' as a support section for multiple faculties at the University of Pretoria. In subsequent years, the concept of 'telematic education” subsequently becomes well established in academic circles in South Africa, grew in popularity, and is adopted by many universities and colleges throughout South Africa as a medium of enhancing education and training, as a method to reaching out to far out communities, and as a means to enhance study from the home environment.\r\n\r\nProfessor Snyman in subsequent years pursued research in semiconductor physics, semiconductor devices, microelectronics, and optoelectronics.\r\n\r\nIn 2000 he joined the TUT as a full professor. Here served for a period as head of the Department of Electronic Engineering. Here he makes contributions to solar energy development, microwave and optoelectronic device development, silicon photonics, as well as contributions to new mobile telecommunication systems and network planning in SA.\r\n\r\nCurrently, he teaches electronics and telecommunications at the TUT to audiences ranging from first-year students to Ph.D. level.\r\n\r\nFor his research in the field of 'Silicon Photonics” since 1990, he has published (as author and co-author) about thirty internationally reviewed articles in scientific journals, contributed to more than forty international conferences, about 25 South African provisional patents (as inventor and co-inventor), 8 PCT international patent applications until now. Of these, two USA patents applications, two European Patents, two Korean patents, and ten SA patents have been granted. A further 4 USA patents, 5 European patents, 3 Korean patents, 3 Chinese patents, and 3 Japanese patents are currently under consideration.\r\n\r\nRecently he has also published an extensive scholarly chapter in an internet open access book on 'Integrating Microphotonic Systems and MOEMS into standard Silicon CMOS Integrated circuitry”.\r\n\r\nFurthermore, Professor Snyman recently steered a new initiative at the TUT by introducing a 'Laboratory for Innovative Electronic Systems ' at the Department of Electrical Engineering. The model of this laboratory or center is to primarily combine outputs as achieved by high-level research with lower-level system development and entrepreneurship in a technical university environment. Students are allocated to projects at different levels with PhDs and Master students allocated to the generation of new knowledge and new technologies, while students at the diploma and Baccalaureus level are allocated to electronic systems development with a direct and a near application for application in industry or the commercial and public sectors in South Africa.\r\n\r\nProfessor Snyman received the WIRSAM Award of 1983 and the WIRSAM Award in 1985 in South Africa for best research papers by a young scientist at two international conferences on electron microscopy in South Africa. He subsequently received the SA Microelectronics Award for the best dissertation emanating from studies executed at a South African university in the field of Physics and Microelectronics in South Africa in 1987. In October of 2011, Professor Snyman received the prestigious Institutional Award for 'Innovator of the Year” for 2010 at the Tshwane University of Technology, South Africa. This award was based on the number of patents recognized and granted by local and international institutions as well as for his contributions concerning innovation at the TUT.",institutionString:null,institution:{name:"University of South Africa",country:{name:"South Africa"}}},{id:"317279",title:"Mr.",name:"Ali",middleName:"Usama",surname:"Syed",slug:"ali-syed",fullName:"Ali Syed",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/317279/images/16024_n.png",biography:"A creative, talented, and innovative young professional who is dedicated, well organized, and capable research fellow with two years of experience in graduate-level research, published in engineering journals and book, with related expertise in Bio-robotics, equally passionate about the aesthetics of the mechanical and electronic system, obtained expertise in the use of MS Office, MATLAB, SolidWorks, LabVIEW, Proteus, Fusion 360, having a grasp on python, C++ and assembly language, possess proven ability in acquiring research grants, previous appointments with social and educational societies with experience in administration, current affiliations with IEEE and Web of Science, a confident presenter at conferences and teacher in classrooms, able to explain complex information to audiences of all levels.",institutionString:null,institution:{name:"Air University",country:{name:"Pakistan"}}},{id:"75526",title:"Ph.D.",name:"Zihni Onur",middleName:null,surname:"Uygun",slug:"zihni-onur-uygun",fullName:"Zihni Onur Uygun",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/75526/images/12_n.jpg",biography:"My undergraduate education and my Master of Science educations at Ege University and at Çanakkale Onsekiz Mart University have given me a firm foundation in Biochemistry, Analytical Chemistry, Biosensors, Bioelectronics, Physical Chemistry and Medicine. After obtaining my degree as a MSc in analytical chemistry, I started working as a research assistant in Ege University Medical Faculty in 2014. In parallel, I enrolled to the MSc program at the Department of Medical Biochemistry at Ege University to gain deeper knowledge on medical and biochemical sciences as well as clinical chemistry in 2014. In my PhD I deeply researched on biosensors and bioelectronics and finished in 2020. Now I have eleven SCI-Expanded Index published papers, 6 international book chapters, referee assignments for different SCIE journals, one international patent pending, several international awards, projects and bursaries. In parallel to my research assistant position at Ege University Medical Faculty, Department of Medical Biochemistry, in April 2016, I also founded a Start-Up Company (Denosens Biotechnology LTD) by the support of The Scientific and Technological Research Council of Turkey. Currently, I am also working as a CEO in Denosens Biotechnology. The main purposes of the company, which carries out R&D as a research center, are to develop new generation biosensors and sensors for both point-of-care diagnostics; such as glucose, lactate, cholesterol and cancer biomarker detections. My specific experimental and instrumental skills are Biochemistry, Biosensor, Analytical Chemistry, Electrochemistry, Mobile phone based point-of-care diagnostic device, POCTs and Patient interface designs, HPLC, Tandem Mass Spectrometry, Spectrophotometry, ELISA.",institutionString:null,institution:{name:"Ege University",country:{name:"Turkey"}}},{id:"267434",title:"Dr.",name:"Rohit",middleName:null,surname:"Raja",slug:"rohit-raja",fullName:"Rohit Raja",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/267434/images/system/267434.jpg",biography:"Dr. Rohit Raja received Ph.D. in Computer Science and Engineering from Dr. CVRAMAN University in 2016. His main research interest includes Face recognition and Identification, Digital Image Processing, Signal Processing, and Networking. Presently he is working as Associate Professor in IT Department, Guru Ghasidas Vishwavidyalaya (A Central University), Bilaspur (CG), India. He has authored several Journal and Conference Papers. He has good Academics & Research experience in various areas of CSE and IT. He has filed and successfully published 27 Patents. He has received many time invitations to be a Guest at IEEE Conferences. He has published 100 research papers in various International/National Journals (including IEEE, Springer, etc.) and Proceedings of the reputed International/ National Conferences (including Springer and IEEE). He has been nominated to the board of editors/reviewers of many peer-reviewed and refereed Journals (including IEEE, Springer).",institutionString:"Guru Ghasidas Vishwavidyalaya",institution:{name:"Guru Ghasidas Vishwavidyalaya",country:{name:"India"}}},{id:"246502",title:"Dr.",name:"Jaya T.",middleName:"T",surname:"Varkey",slug:"jaya-t.-varkey",fullName:"Jaya T. Varkey",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/246502/images/11160_n.jpg",biography:"Jaya T. Varkey, PhD, graduated with a degree in Chemistry from Cochin University of Science and Technology, Kerala, India. She obtained a PhD in Chemistry from the School of Chemical Sciences, Mahatma Gandhi University, Kerala, India, and completed a post-doctoral fellowship at the University of Minnesota, USA. She is a research guide at Mahatma Gandhi University and Associate Professor in Chemistry, St. Teresa’s College, Kochi, Kerala, India.\nDr. Varkey received a National Young Scientist award from the Indian Science Congress (1995), a UGC Research award (2016–2018), an Indian National Science Academy (INSA) Visiting Scientist award (2018–2019), and a Best Innovative Faculty award from the All India Association for Christian Higher Education (AIACHE) (2019). She Hashas received the Sr. Mary Cecil prize for best research paper three times. She was also awarded a start-up to develop a tea bag water filter. \nDr. Varkey has published two international books and twenty-seven international journal publications. She is an editorial board member for five international journals.",institutionString:"St. Teresa’s College",institution:null},{id:"250668",title:"Dr.",name:"Ali",middleName:null,surname:"Nabipour Chakoli",slug:"ali-nabipour-chakoli",fullName:"Ali Nabipour Chakoli",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/250668/images/system/250668.jpg",biography:"Academic Qualification:\r\n•\tPhD in Materials Physics and Chemistry, From: Sep. 2006, to: Sep. 2010, School of Materials Science and Engineering, Harbin Institute of Technology, Thesis: Structure and Shape Memory Effect of Functionalized MWCNTs/poly (L-lactide-co-ε-caprolactone) Nanocomposites. Supervisor: Prof. Wei Cai,\r\n•\tM.Sc in Applied Physics, From: 1996, to: 1998, Faculty of Physics & Nuclear Science, Amirkabir Uni. of Technology, Tehran, Iran, Thesis: Determination of Boron in Micro alloy Steels with solid state nuclear track detectors by neutron induced auto radiography, Supervisors: Dr. M. Hosseini Ashrafi and Dr. A. Hosseini.\r\n•\tB.Sc. in Applied Physics, From: 1991, to: 1996, Faculty of Physics & Nuclear Science, Amirkabir Uni. of Technology, Tehran, Iran, Thesis: Design of shielding for Am-Be neutron sources for In Vivo neutron activation analysis, Supervisor: Dr. M. Hosseini Ashrafi.\r\n\r\nResearch Experiences:\r\n1.\tNanomaterials, Carbon Nanotubes, Graphene: Synthesis, Functionalization and Characterization,\r\n2.\tMWCNTs/Polymer Composites: Fabrication and Characterization, \r\n3.\tShape Memory Polymers, Biodegradable Polymers, ORC, Collagen,\r\n4.\tMaterials Analysis and Characterizations: TEM, SEM, XPS, FT-IR, Raman, DSC, DMA, TGA, XRD, GPC, Fluoroscopy, \r\n5.\tInteraction of Radiation with Mater, Nuclear Safety and Security, NDT(RT),\r\n6.\tRadiation Detectors, Calibration (SSDL),\r\n7.\tCompleted IAEA e-learning Courses:\r\nNuclear Security (15 Modules),\r\nNuclear Safety:\r\nTSA 2: Regulatory Protection in Occupational Exposure,\r\nTips & Tricks: Radiation Protection in Radiography,\r\nSafety and Quality in Radiotherapy,\r\nCourse on Sealed Radioactive Sources,\r\nCourse on Fundamentals of Environmental Remediation,\r\nCourse on Planning for Environmental Remediation,\r\nKnowledge Management Orientation Course,\r\nFood Irradiation - Technology, Applications and Good Practices,\r\nEmployment:\r\nFrom 2010 to now: Academic staff, Nuclear Science and Technology Research Institute, Kargar Shomali, Tehran, Iran, P.O. Box: 14395-836.\r\nFrom 1997 to 2006: Expert of Materials Analysis and Characterization. Research Center of Agriculture and Medicine. Rajaeeshahr, Karaj, Iran, P. O. Box: 31585-498.",institutionString:"Atomic Energy Organization of Iran",institution:{name:"Atomic Energy Organization of Iran",country:{name:"Iran"}}},{id:"248279",title:"Dr.",name:"Monika",middleName:"Elzbieta",surname:"Machoy",slug:"monika-machoy",fullName:"Monika Machoy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/248279/images/system/248279.jpeg",biography:"Monika Elżbieta Machoy, MD, graduated with distinction from the Faculty of Medicine and Dentistry at the Pomeranian Medical University in 2009, defended her PhD thesis with summa cum laude in 2016 and is currently employed as a researcher at the Department of Orthodontics of the Pomeranian Medical University. She expanded her professional knowledge during a one-year scholarship program at the Ernst Moritz Arndt University in Greifswald, Germany and during a three-year internship at the Technical University in Dresden, Germany. She has been a speaker at numerous orthodontic conferences, among others, American Association of Orthodontics, European Orthodontic Symposium and numerous conferences of the Polish Orthodontic Society. She conducts research focusing on the effect of orthodontic treatment on dental and periodontal tissues and the causes of pain in orthodontic patients.",institutionString:"Pomeranian Medical University",institution:{name:"Pomeranian Medical University",country:{name:"Poland"}}},{id:"252743",title:"Prof.",name:"Aswini",middleName:"Kumar",surname:"Kar",slug:"aswini-kar",fullName:"Aswini Kar",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/252743/images/10381_n.jpg",biography:"uploaded in cv",institutionString:null,institution:{name:"KIIT University",country:{name:"India"}}},{id:"204256",title:"Dr.",name:"Anil",middleName:"Kumar",surname:"Kumar Sahu",slug:"anil-kumar-sahu",fullName:"Anil Kumar Sahu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/204256/images/14201_n.jpg",biography:"I have nearly 11 years of research and teaching experience. I have done my master degree from University Institute of Pharmacy, Pt. Ravi Shankar Shukla University, Raipur, Chhattisgarh India. I have published 16 review and research articles in international and national journals and published 4 chapters in IntechOpen, the world’s leading publisher of Open access books. I have presented many papers at national and international conferences. I have received research award from Indian Drug Manufacturers Association in year 2015. My research interest extends from novel lymphatic drug delivery systems, oral delivery system for herbal bioactive to formulation optimization.",institutionString:null,institution:{name:"Chhattisgarh Swami Vivekanand Technical University",country:{name:"India"}}},{id:"253468",title:"Dr.",name:"Mariusz",middleName:null,surname:"Marzec",slug:"mariusz-marzec",fullName:"Mariusz Marzec",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/253468/images/system/253468.png",biography:"An assistant professor at Department of Biomedical Computer Systems, at Institute of Computer Science, Silesian University in Katowice. Scientific interests: computer analysis and processing of images, biomedical images, databases and programming languages. He is an author and co-author of scientific publications covering analysis and processing of biomedical images and development of database systems.",institutionString:"University of Silesia",institution:null},{id:"212432",title:"Prof.",name:"Hadi",middleName:null,surname:"Mohammadi",slug:"hadi-mohammadi",fullName:"Hadi Mohammadi",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/212432/images/system/212432.jpeg",biography:"Dr. Hadi Mohammadi is a biomedical engineer with hands-on experience in the design and development of many engineering structures and medical devices through various projects that he has been involved in over the past twenty years. Dr. Mohammadi received his BSc. and MSc. degrees in Mechanical Engineering from Sharif University of Technology, Tehran, Iran, and his PhD. degree in Biomedical Engineering (biomaterials) from the University of Western Ontario. He was a postdoctoral trainee for almost four years at University of Calgary and Harvard Medical School. He is an industry innovator having created the technology to produce lifelike synthetic platforms that can be used for the simulation of almost all cardiovascular reconstructive surgeries. He’s been heavily involved in the design and development of cardiovascular devices and technology for the past 10 years. He is currently an Assistant Professor with the University of British Colombia, Canada.",institutionString:"University of British Columbia",institution:{name:"University of British Columbia",country:{name:"Canada"}}},{id:"254463",title:"Prof.",name:"Haisheng",middleName:null,surname:"Yang",slug:"haisheng-yang",fullName:"Haisheng Yang",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/254463/images/system/254463.jpeg",biography:"Haisheng Yang, Ph.D., Professor and Director of the Department of Biomedical Engineering, College of Life Science and Bioengineering, Beijing University of Technology. He received his Ph.D. degree in Mechanics/Biomechanics from Harbin Institute of Technology (jointly with University of California, Berkeley). Afterwards, he worked as a Postdoctoral Research Associate in the Purdue Musculoskeletal Biology and Mechanics Lab at the Department of Basic Medical Sciences, Purdue University, USA. He also conducted research in the Research Centre of Shriners Hospitals for Children-Canada at McGill University, Canada. Dr. Yang has over 10 years research experience in orthopaedic biomechanics and mechanobiology of bone adaptation and regeneration. He earned an award from Beijing Overseas Talents Aggregation program in 2017 and serves as Beijing Distinguished Professor.",institutionString:null,institution:{name:"Beijing University of Technology",country:{name:"China"}}},{id:"255757",title:"Dr.",name:"Igor",middleName:"Victorovich",surname:"Lakhno",slug:"igor-lakhno",fullName:"Igor Lakhno",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/255757/images/system/255757.jpg",biography:"Lakhno Igor Victorovich was born in 1971 in Kharkiv (Ukraine). \nMD – 1994, Kharkiv National Medical Univesity.\nOb&Gyn; – 1997, master courses in Kharkiv Medical Academy of Postgraduate Education.\nPhD – 1999, Kharkiv National Medical Univesity.\nDSc – 2019, PL Shupik National Academy of Postgraduate Education \nLakhno Igor has been graduated from an international training courses on reproductive medicine and family planning held in Debrecen University (Hungary) in 1997. Since 1998 Lakhno Igor has worked as an associate professor of the department of obstetrics and gynecology of VN Karazin National University and an associate professor of the perinatology, obstetrics and gynecology department of Kharkiv Medical Academy of Postgraduate Education. Since June 2019 he’s a professor of the department of obstetrics and gynecology of VN Karazin National University and a professor of the perinatology, obstetrics and gynecology department of Kharkiv Medical Academy of Postgraduate Education . He’s an author of about 200 printed works and there are 17 of them in Scopus or Web of Science databases. Lakhno Igor is a rewiever of Journal of Obstetrics and Gynaecology (Taylor and Francis), Informatics in Medicine Unlocked (Elsevier), The Journal of Obstetrics and Gynecology Research (Wiley), Endocrine, Metabolic & Immune Disorders-Drug Targets (Bentham Open), The Open Biomedical Engineering Journal (Bentham Open), etc. He’s defended a dissertation for DSc degree \\'Pre-eclampsia: prediction, prevention and treatment”. Lakhno Igor has participated as a speaker in several international conferences and congresses (International Conference on Biological Oscillations April 10th-14th 2016, Lancaster, UK, The 9th conference of the European Study Group on Cardiovascular Oscillations). His main scientific interests: obstetrics, women’s health, fetal medicine, cardiovascular medicine.",institutionString:"V.N. Karazin Kharkiv National University",institution:{name:"Kharkiv Medical Academy of Postgraduate Education",country:{name:"Ukraine"}}},{id:"89721",title:"Dr.",name:"Mehmet",middleName:"Cuneyt",surname:"Ozmen",slug:"mehmet-ozmen",fullName:"Mehmet Ozmen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/89721/images/7289_n.jpg",biography:null,institutionString:null,institution:{name:"Gazi University",country:{name:"Turkey"}}},{id:"243698",title:"M.D.",name:"Xiaogang",middleName:null,surname:"Wang",slug:"xiaogang-wang",fullName:"Xiaogang Wang",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/243698/images/system/243698.png",biography:"Dr. Xiaogang Wang, a faculty member of Shanxi Eye Hospital specializing in the treatment of cataract and retinal disease and a tutor for postgraduate students of Shanxi Medical University, worked in the COOL Lab as an international visiting scholar under the supervision of Dr. David Huang and Yali Jia from October 2012 through November 2013. Dr. Wang earned an MD from Shanxi Medical University and a Ph.D. from Shanghai Jiao Tong University. Dr. Wang was awarded two research project grants focused on multimodal optical coherence tomography imaging and deep learning in cataract and retinal disease, from the National Natural Science Foundation of China. He has published around 30 peer-reviewed journal papers and four book chapters and co-edited one book.",institutionString:"Shanxi Eye Hospital",institution:{name:"Shanxi Eye Hospital",country:{name:"China"}}},{id:"242893",title:"Ph.D. Student",name:"Joaquim",middleName:null,surname:"De Moura",slug:"joaquim-de-moura",fullName:"Joaquim De Moura",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/242893/images/7133_n.jpg",biography:"Joaquim de Moura received his degree in Computer Engineering in 2014 from the University of A Coruña (Spain). In 2016, he received his M.Sc degree in Computer Engineering from the same university. He is currently pursuing his Ph.D degree in Computer Science in a collaborative project between ophthalmology centers in Galicia and the University of A Coruña. His research interests include computer vision, machine learning algorithms and analysis and medical imaging processing of various kinds.",institutionString:null,institution:{name:"University of A Coruña",country:{name:"Spain"}}},{id:"294334",title:"B.Sc.",name:"Marc",middleName:null,surname:"Bruggeman",slug:"marc-bruggeman",fullName:"Marc Bruggeman",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/294334/images/8242_n.jpg",biography:"Chemical engineer graduate, with a passion for material science and specific interest in polymers - their near infinite applications intrigue me. \n\nI plan to continue my scientific career in the field of polymeric biomaterials as I am fascinated by intelligent, bioactive and biomimetic materials for use in both consumer and medical applications.",institutionString:null,institution:null},{id:"244950",title:"Dr.",name:"Salvatore",middleName:null,surname:"Di Lauro",slug:"salvatore-di-lauro",fullName:"Salvatore Di Lauro",position:null,profilePictureURL:"https://intech-files.s3.amazonaws.com/0030O00002bSF1HQAW/ProfilePicture%202021-12-20%2014%3A54%3A14.482",biography:"Name:\n\tSALVATORE DI LAURO\nAddress:\n\tHospital Clínico Universitario Valladolid\nAvda Ramón y Cajal 3\n47005, Valladolid\nSpain\nPhone number: \nFax\nE-mail:\n\t+34 983420000 ext 292\n+34 983420084\nsadilauro@live.it\nDate and place of Birth:\nID Number\nMedical Licence \nLanguages\t09-05-1985. Villaricca (Italy)\n\nY1281863H\n474707061\nItalian (native language)\nSpanish (read, written, spoken)\nEnglish (read, written, spoken)\nPortuguese (read, spoken)\nFrench (read)\n\t\t\nCurrent position (title and company)\tDate (Year)\nVitreo-Retinal consultant in ophthalmology. Hospital Clinico Universitario Valladolid. Sacyl. National Health System.\nVitreo-Retinal consultant in ophthalmology. Instituto Oftalmologico Recoletas. Red Hospitalaria Recoletas. Private practise.\t2017-today\n\n2019-today\n\t\n\t\nEducation (High school, university and postgraduate training > 3 months)\tDate (Year)\nDegree in Medicine and Surgery. University of Neaples 'Federico II”\nResident in Opthalmology. Hospital Clinico Universitario Valladolid\nMaster in Vitreo-Retina. IOBA. University of Valladolid\nFellow of the European Board of Ophthalmology. Paris\nMaster in Research in Ophthalmology. University of Valladolid\t2003-2009\n2012-2016\n2016-2017\n2016\n2012-2013\n\t\nEmployments (company and positions)\tDate (Year)\nResident in Ophthalmology. Hospital Clinico Universitario Valladolid. Sacyl.\nFellow in Vitreo-Retina. IOBA. University of Valladolid\nVitreo-Retinal consultant in ophthalmology. Hospital Clinico Universitario Valladolid. Sacyl. National Health System.\nVitreo-Retinal consultant in ophthalmology. Instituto Oftalmologico Recoletas. Red Hospitalaria Recoletas. \n\t2012-2016\n2016-2017\n2017-today\n\n2019-Today\n\n\n\t\nClinical Research Experience (tasks and role)\tDate (Year)\nAssociated investigator\n\n' FIS PI20/00740: DESARROLLO DE UNA CALCULADORA DE RIESGO DE\nAPARICION DE RETINOPATIA DIABETICA BASADA EN TECNICAS DE IMAGEN MULTIMODAL EN PACIENTES DIABETICOS TIPO 1. Grant by: Ministerio de Ciencia e Innovacion \n\n' (BIO/VA23/14) Estudio clínico multicéntrico y prospectivo para validar dos\nbiomarcadores ubicados en los genes p53 y MDM2 en la predicción de los resultados funcionales de la cirugía del desprendimiento de retina regmatógeno. Grant by: Gerencia Regional de Salud de la Junta de Castilla y León.\n' Estudio multicéntrico, aleatorizado, con enmascaramiento doble, en 2 grupos\nparalelos y de 52 semanas de duración para comparar la eficacia, seguridad e inmunogenicidad de SOK583A1 respecto a Eylea® en pacientes con degeneración macular neovascular asociada a la edad' (CSOK583A12301; N.EUDRA: 2019-004838-41; FASE III). Grant by Hexal AG\n\n' Estudio de fase III, aleatorizado, doble ciego, con grupos paralelos, multicéntrico para comparar la eficacia y la seguridad de QL1205 frente a Lucentis® en pacientes con degeneración macular neovascular asociada a la edad. (EUDRACT: 2018-004486-13). Grant by Qilu Pharmaceutical Co\n\n' Estudio NEUTON: Ensayo clinico en fase IV para evaluar la eficacia de aflibercept en pacientes Naive con Edema MacUlar secundario a Oclusion de Vena CenTral de la Retina (OVCR) en regimen de tratamientO iNdividualizado Treat and Extend (TAE)”, (2014-000975-21). Grant by Fundacion Retinaplus\n\n' Evaluación de la seguridad y bioactividad de anillos de tensión capsular en conejo. Proyecto Procusens. Grant by AJL, S.A.\n\n'Estudio epidemiológico, prospectivo, multicéntrico y abierto\\npara valorar la frecuencia de la conjuntivitis adenovírica diagnosticada mediante el test AdenoPlus®\\nTest en pacientes enfermos de conjuntivitis aguda”\\n. National, multicenter study. Grant by: NICOX.\n\nEuropean multicentric trial: 'Evaluation of clinical outcomes following the use of Systane Hydration in patients with dry eye”. Study Phase 4. Grant by: Alcon Labs'\n\nVLPs Injection and Activation in a Rabbit Model of Uveal Melanoma. Grant by Aura Bioscience\n\nUpdating and characterization of a rabbit model of uveal melanoma. Grant by Aura Bioscience\n\nEnsayo clínico en fase IV para evaluar las variantes genéticas de la vía del VEGF como biomarcadores de eficacia del tratamiento con aflibercept en pacientes con degeneración macular asociada a la edad (DMAE) neovascular. Estudio BIOIMAGE. IMO-AFLI-2013-01\n\nEstudio In-Eye:Ensayo clínico en fase IV, abierto, aleatorizado, de 2 brazos,\nmulticçentrico y de 12 meses de duración, para evaluar la eficacia y seguridad de un régimen de PRN flexible individualizado de 'esperar y extender' versus un régimen PRN según criterios de estabilización mediante evaluaciones mensuales de inyecciones intravítreas de ranibizumab 0,5 mg en pacientes naive con neovascularización coriodea secunaria a la degeneración macular relacionada con la edad. CP: CRFB002AES03T\n\nTREND: Estudio Fase IIIb multicéntrico, randomizado, de 12 meses de\nseguimiento con evaluador de la agudeza visual enmascarado, para evaluar la eficacia y la seguridad de ranibizumab 0.5mg en un régimen de tratar y extender comparado con un régimen mensual, en pacientes con degeneración macular neovascular asociada a la edad. CP: CRFB002A2411 Código Eudra CT:\n2013-002626-23\n\n\n\nPublications\t\n\n2021\n\n\n\n\n2015\n\n\n\n\n2021\n\n\n\n\n\n2021\n\n\n\n\n2015\n\n\n\n\n2015\n\n\n2014\n\n\n\n\n2015-16\n\n\n\n2015\n\n\n2014\n\n\n2014\n\n\n\n\n2014\n\n\n\n\n\n\n\n2014\n\nJose Carlos Pastor; Jimena Rojas; Salvador Pastor-Idoate; Salvatore Di Lauro; Lucia Gonzalez-Buendia; Santiago Delgado-Tirado. Proliferative vitreoretinopathy: A new concept of disease pathogenesis and practical\nconsequences. Progress in Retinal and Eye Research. 51, pp. 125 - 155. 03/2016. DOI: 10.1016/j.preteyeres.2015.07.005\n\n\nLabrador-Velandia S; Alonso-Alonso ML; Di Lauro S; García-Gutierrez MT; Srivastava GK; Pastor JC; Fernandez-Bueno I. Mesenchymal stem cells provide paracrine neuroprotective resources that delay degeneration of co-cultured organotypic neuroretinal cultures.Experimental Eye Research. 185, 17/05/2019. DOI: 10.1016/j.exer.2019.05.011\n\nSalvatore Di Lauro; Maria Teresa Garcia Gutierrez; Ivan Fernandez Bueno. Quantification of pigment epithelium-derived factor (PEDF) in an ex vivo coculture of retinal pigment epithelium cells and neuroretina.\nJournal of Allbiosolution. 2019. ISSN 2605-3535\n\nSonia Labrador Velandia; Salvatore Di Lauro; Alonso-Alonso ML; Tabera Bartolomé S; Srivastava GK; Pastor JC; Fernandez-Bueno I. Biocompatibility of intravitreal injection of human mesenchymal stem cells in immunocompetent rabbits. Graefe's archive for clinical and experimental ophthalmology. 256 - 1, pp. 125 - 134. 01/2018. DOI: 10.1007/s00417-017-3842-3\n\n\nSalvatore Di Lauro, David Rodriguez-Crespo, Manuel J Gayoso, Maria T Garcia-Gutierrez, J Carlos Pastor, Girish K Srivastava, Ivan Fernandez-Bueno. A novel coculture model of porcine central neuroretina explants and retinal pigment epithelium cells. Molecular Vision. 2016 - 22, pp. 243 - 253. 01/2016.\n\nSalvatore Di Lauro. Classifications for Proliferative Vitreoretinopathy ({PVR}): An Analysis of Their Use in Publications over the Last 15 Years. Journal of Ophthalmology. 2016, pp. 1 - 6. 01/2016. DOI: 10.1155/2016/7807596\n\nSalvatore Di Lauro; Rosa Maria Coco; Rosa Maria Sanabria; Enrique Rodriguez de la Rua; Jose Carlos Pastor. Loss of Visual Acuity after Successful Surgery for Macula-On Rhegmatogenous Retinal Detachment in a Prospective Multicentre Study. Journal of Ophthalmology. 2015:821864, 2015. DOI: 10.1155/2015/821864\n\nIvan Fernandez-Bueno; Salvatore Di Lauro; Ivan Alvarez; Jose Carlos Lopez; Maria Teresa Garcia-Gutierrez; Itziar Fernandez; Eva Larra; Jose Carlos Pastor. Safety and Biocompatibility of a New High-Density Polyethylene-Based\nSpherical Integrated Porous Orbital Implant: An Experimental Study in Rabbits. Journal of Ophthalmology. 2015:904096, 2015. DOI: 10.1155/2015/904096\n\nPastor JC; Pastor-Idoate S; Rodríguez-Hernandez I; Rojas J; Fernandez I; Gonzalez-Buendia L; Di Lauro S; Gonzalez-Sarmiento R. Genetics of PVR and RD. Ophthalmologica. 232 - Suppl 1, pp. 28 - 29. 2014\n\nRodriguez-Crespo D; Di Lauro S; Singh AK; Garcia-Gutierrez MT; Garrosa M; Pastor JC; Fernandez-Bueno I; Srivastava GK. Triple-layered mixed co-culture model of RPE cells with neuroretina for evaluating the neuroprotective effects of adipose-MSCs. Cell Tissue Res. 358 - 3, pp. 705 - 716. 2014.\nDOI: 10.1007/s00441-014-1987-5\n\nCarlo De Werra; Salvatore Condurro; Salvatore Tramontano; Mario Perone; Ivana Donzelli; Salvatore Di Lauro; Massimo Di Giuseppe; Rosa Di Micco; Annalisa Pascariello; Antonio Pastore; Giorgio Diamantis; Giuseppe Galloro. Hydatid disease of the liver: thirty years of surgical experience.Chirurgia italiana. 59 - 5, pp. 611 - 636.\n(Italia): 2007. ISSN 0009-4773\n\nChapters in books\n\t\n' Salvador Pastor Idoate; Salvatore Di Lauro; Jose Carlos Pastor Jimeno. PVR: Pathogenesis, Histopathology and Classification. Proliferative Vitreoretinopathy with Small Gauge Vitrectomy. Springer, 2018. ISBN 978-3-319-78445-8\nDOI: 10.1007/978-3-319-78446-5_2. \n\n' Salvatore Di Lauro; Maria Isabel Lopez Galvez. Quistes vítreos en una mujer joven. Problemas diagnósticos en patología retinocoroidea. Sociedad Española de Retina-Vitreo. 2018.\n\n' Salvatore Di Lauro; Salvador Pastor Idoate; Jose Carlos Pastor Jimeno. iOCT in PVR management. OCT Applications in Opthalmology. pp. 1 - 8. INTECH, 2018. DOI: 10.5772/intechopen.78774.\n\n' Rosa Coco Martin; Salvatore Di Lauro; Salvador Pastor Idoate; Jose Carlos Pastor. amponadores, manipuladores y tinciones en la cirugía del traumatismo ocular.Trauma Ocular. Ponencia de la SEO 2018..\n\n' LOPEZ GALVEZ; DI LAURO; CRESPO. OCT angiografia y complicaciones retinianas de la diabetes. PONENCIA SEO 2021, CAPITULO 20. (España): 2021.\n\n' Múltiples desprendimientos neurosensoriales bilaterales en paciente joven. Enfermedades Degenerativas De Retina Y Coroides. SERV 04/2016. \n' González-Buendía L; Di Lauro S; Pastor-Idoate S; Pastor Jimeno JC. Vitreorretinopatía proliferante (VRP) e inflamación: LA INFLAMACIÓN in «INMUNOMODULADORES Y ANTIINFLAMATORIOS: MÁS ALLÁ DE LOS CORTICOIDES. RELACION DE PONENCIAS DE LA SOCIEDAD ESPAÑOLA DE OFTALMOLOGIA. 10/2014.",institutionString:null,institution:null},{id:"265335",title:"Mr.",name:"Stefan",middleName:"Radnev",surname:"Stefanov",slug:"stefan-stefanov",fullName:"Stefan Stefanov",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/265335/images/7562_n.jpg",biography:null,institutionString:null,institution:null},{id:"7227",title:"Dr.",name:"Hiroaki",middleName:null,surname:"Matsui",slug:"hiroaki-matsui",fullName:"Hiroaki Matsui",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Tokyo",country:{name:"Japan"}}},{id:"318905",title:"Prof.",name:"Elvis",middleName:"Kwason",surname:"Tiburu",slug:"elvis-tiburu",fullName:"Elvis Tiburu",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Ghana",country:{name:"Ghana"}}},{id:"336193",title:"Dr.",name:"Abdullah",middleName:null,surname:"Alamoudi",slug:"abdullah-alamoudi",fullName:"Abdullah Alamoudi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Majmaah University",country:{name:"Saudi Arabia"}}},{id:"318657",title:"MSc.",name:"Isabell",middleName:null,surname:"Steuding",slug:"isabell-steuding",fullName:"Isabell Steuding",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Harz University of Applied Sciences",country:{name:"Germany"}}},{id:"318656",title:"BSc.",name:"Peter",middleName:null,surname:"Kußmann",slug:"peter-kussmann",fullName:"Peter Kußmann",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Harz University of Applied Sciences",country:{name:"Germany"}}},{id:"338222",title:"Mrs.",name:"María José",middleName:null,surname:"Lucía Mudas",slug:"maria-jose-lucia-mudas",fullName:"María José Lucía Mudas",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Carlos III University of Madrid",country:{name:"Spain"}}}]}},subseries:{item:{id:"27",type:"subseries",title:"Multi-Agent Systems",keywords:"Collaborative Intelligence, Learning, Distributed Control System, Swarm Robotics, Decision Science, Software Engineering",scope:"Multi-agent systems are recognised as a state of the art field in Artificial Intelligence studies, which is popular due to the usefulness in facilitation capabilities to handle real-world problem-solving in a distributed fashion. The area covers many techniques that offer solutions to emerging problems in robotics and enterprise-level software systems. Collaborative intelligence is highly and effectively achieved with multi-agent systems. Areas of application include swarms of robots, flocks of UAVs, collaborative software management. Given the level of technological enhancements, the popularity of machine learning in use has opened a new chapter in multi-agent studies alongside the practical challenges and long-lasting collaboration issues in the field. It has increased the urgency and the need for further studies in this field. We welcome chapters presenting research on the many applications of multi-agent studies including, but not limited to, the following key areas: machine learning for multi-agent systems; modeling swarms robots and flocks of UAVs with multi-agent systems; decision science and multi-agent systems; software engineering for and with multi-agent systems; tools and technologies of multi-agent systems.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/27.jpg",hasOnlineFirst:!1,hasPublishedBooks:!1,annualVolume:11423,editor:{id:"148497",title:"Dr.",name:"Mehmet",middleName:"Emin",surname:"Aydin",slug:"mehmet-aydin",fullName:"Mehmet Aydin",profilePictureURL:"https://mts.intechopen.com/storage/users/148497/images/system/148497.jpg",biography:"Dr. Mehmet Emin Aydin is a Senior Lecturer with the Department of Computer Science and Creative Technology, the University of the West of England, Bristol, UK. His research interests include swarm intelligence, parallel and distributed metaheuristics, machine learning, intelligent agents and multi-agent systems, resource planning, scheduling and optimization, combinatorial optimization. Dr. Aydin is currently a Fellow of Higher Education Academy, UK, a member of EPSRC College, a senior member of IEEE and a senior member of ACM. In addition to being a member of advisory committees of many international conferences, he is an Editorial Board Member of various peer-reviewed international journals. 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possibility to collaborate with more research groups interested in animal nutrition, leading to the development of new feeding strategies and food valuation while being more sustainable with the environment, allowing more readers to learn about the subject.",author:{id:"175967",name:"Manuel",surname:"Gonzalez Ronquillo",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/175967/images/system/175967.png",slug:"manuel-gonzalez-ronquillo",institution:{id:"6221",name:"Universidad Autónoma del Estado de México",country:{id:null,name:"Mexico"}}}},{id:"18",text:"It was great publishing with IntechOpen, the process was straightforward and I had support all along.",author:{id:"71579",name:"Berend",surname:"Olivier",institutionString:"Utrecht University",profilePictureURL:"https://mts.intechopen.com/storage/users/71579/images/system/71579.png",slug:"berend-olivier",institution:{id:"253",name:"Utrecht 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The applications of this research cover many related fields, such as biotechnology and medicine, where, for example, Bioinformatics contributes to faster drug design, DNA analysis in forensics, and DNA sequence analysis in the field of personalized medicine. Personalized medicine is a type of medical care in which treatment is customized individually for each patient. Personalized medicine enables more effective therapy, reduces the costs of therapy and clinical trials, and also minimizes the risk of side effects. Nevertheless, advances in personalized medicine would not have been possible without bioinformatics, which can analyze the human genome and other vast amounts of biomedical data, especially in genetics. The rapid growth of information technology enabled the development of new tools to decode human genomes, large-scale studies of genetic variations and medical informatics. The considerable development of technology, including the computing power of computers, is also conducive to the development of bioinformatics, including personalized medicine. In an era of rapidly growing data volumes and ever lower costs of generating, storing and computing data, personalized medicine holds great promises. Modern computational methods used as bioinformatics tools can integrate multi-scale, multi-modal and longitudinal patient data to create even more effective and safer therapy and disease prevention methods. Main aspects of the topic are: Applying bioinformatics in drug discovery and development; Bioinformatics in clinical diagnostics (genetic variants that act as markers for a condition or a disease); Blockchain and Artificial Intelligence/Machine Learning in personalized medicine; Customize disease-prevention strategies in personalized medicine; Big data analysis in personalized medicine; Translating stratification algorithms into clinical practice of personalized medicine.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/7.jpg",keywords:"Biomedical Data, Drug Discovery, Clinical Diagnostics, Decoding Human Genome, AI in Personalized Medicine, Disease-prevention Strategies, Big Data Analysis in Medicine"},{id:"8",title:"Bioinspired Technology and Biomechanics",scope:'Bioinspired technologies take advantage of understanding the actual biological system to provide solutions to problems in several areas. Recently, bioinspired systems have been successfully employing biomechanics to develop and improve assistive technology and rehabilitation devices. The research topic "Bioinspired Technology and Biomechanics" welcomes studies reporting recent advances in bioinspired technologies that contribute to individuals\' health, inclusion, and rehabilitation. Possible contributions can address (but are not limited to) the following research topics: Bioinspired design and control of exoskeletons, orthoses, and prostheses; Experimental evaluation of the effect of assistive devices (e.g., influence on gait, balance, and neuromuscular system); Bioinspired technologies for rehabilitation, including clinical studies reporting evaluations; Application of neuromuscular and biomechanical models to the development of bioinspired technology.',coverUrl:"https://cdn.intechopen.com/series_topics/covers/8.jpg",keywords:"Bioinspired Systems, Biomechanics, Assistive Technology, Rehabilitation"},{id:"9",title:"Biotechnology - Biosensors, Biomaterials and Tissue Engineering",scope:"The Biotechnology - Biosensors, Biomaterials and Tissue Engineering topic within the Biomedical Engineering Series aims to rapidly publish contributions on all aspects of biotechnology, biosensors, biomaterial and tissue engineering. 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Chapters exploring biomaterial approaches such as polymer synthesis and characterization, drug and gene vector design, biocompatibility, immunology and toxicology, and self-assembly at the nanoscale, are welcome. Finally, the tissue engineering subcategory will support topics such as the fundamentals of stem cells and progenitor cells and their proliferation, differentiation, bioreactors for three-dimensional culture and studies of phenotypic changes, stem and progenitor cells, both short and long term, ex vivo and in vivo implantation both in preclinical models and also in clinical trials.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/9.jpg",keywords:"Biotechnology, Biosensors, Biomaterials, Tissue Engineering"}],annualVolumeBook:{},thematicCollection:[],selectedSeries:{title:"Biomedical Engineering",id:"7"},selectedSubseries:null},seriesLanding:{item:{id:"11",title:"Biochemistry",doi:"10.5772/intechopen.72877",issn:"2632-0983",scope:"Biochemistry, the study of chemical transformations occurring within living organisms, impacts all areas of life sciences, from molecular crystallography and genetics to ecology, medicine, and population biology. Biochemistry examines macromolecules - proteins, nucleic acids, carbohydrates, and lipids – and their building blocks, structures, functions, and interactions. Much of biochemistry is devoted to enzymes, proteins that catalyze chemical reactions, enzyme structures, mechanisms of action and their roles within cells. Biochemistry also studies small signaling molecules, coenzymes, inhibitors, vitamins, and hormones, which play roles in life processes. Biochemical experimentation, besides coopting classical chemistry methods, e.g., chromatography, adopted new techniques, e.g., X-ray diffraction, electron microscopy, NMR, radioisotopes, and developed sophisticated microbial genetic tools, e.g., auxotroph mutants and their revertants, fermentation, etc. More recently, biochemistry embraced the ‘big data’ omics systems. Initial biochemical studies have been exclusively analytic: dissecting, purifying, and examining individual components of a biological system; in the apt words of Efraim Racker (1913 –1991), “Don’t waste clean thinking on dirty enzymes.” Today, however, biochemistry is becoming more agglomerative and comprehensive, setting out to integrate and describe entirely particular biological systems. The ‘big data’ metabolomics can define the complement of small molecules, e.g., in a soil or biofilm sample; proteomics can distinguish all the comprising proteins, e.g., serum; metagenomics can identify all the genes in a complex environment, e.g., the bovine rumen. This Biochemistry Series will address the current research on biomolecules and the emerging trends with great promise.",coverUrl:"https://cdn.intechopen.com/series/covers/11.jpg",latestPublicationDate:"June 24th, 2022",hasOnlineFirst:!0,numberOfOpenTopics:4,numberOfPublishedChapters:314,numberOfPublishedBooks:31,editor:{id:"31610",title:"Dr.",name:"Miroslav",middleName:null,surname:"Blumenberg",fullName:"Miroslav Blumenberg",profilePictureURL:"https://mts.intechopen.com/storage/users/31610/images/system/31610.jpg",biography:"Miroslav Blumenberg, Ph.D., was born in Subotica and received his BSc in Belgrade, Yugoslavia. He completed his Ph.D. at MIT in Organic Chemistry; he followed up his Ph.D. with two postdoctoral study periods at Stanford University. Since 1983, he has been a faculty member of the RO Perelman Department of Dermatology, NYU School of Medicine, where he is codirector of a training grant in cutaneous biology. Dr. Blumenberg’s research is focused on the epidermis, expression of keratin genes, transcription profiling, keratinocyte differentiation, inflammatory diseases and cancers, and most recently the effects of the microbiome on the skin. 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We encourage the submission of manuscripts that provide novel and mechanistic insights that report significant advances in the fields. Topics include, but are not limited to: Advanced techniques of cellular and molecular biology (Molecular methodologies, imaging techniques, and bioinformatics); Biological activities at the molecular level; Biological processes of cell functions, cell division, senescence, maintenance, and cell death; Biomolecules interactions; Cancer; Cell biology; Chemical biology; Computational biology; Cytochemistry; Developmental biology; Disease mechanisms and therapeutics; DNA, and RNA metabolism; Gene functions, genetics, and genomics; Genetics; Immunology; Medical microbiology; Molecular biology; Molecular genetics; Molecular processes of cell and organelle dynamics; Neuroscience; Protein biosynthesis, degradation, and functions; Regulation of molecular interactions in a cell; Signalling networks and system biology; Structural biology; Virology and microbiology.",annualVolume:11410,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/14.jpg",editor:{id:"165627",title:"Dr.",name:"Rosa María",middleName:null,surname:"Martínez-Espinosa",fullName:"Rosa María Martínez-Espinosa",profilePictureURL:"https://mts.intechopen.com/storage/users/165627/images/system/165627.jpeg",institutionString:null,institution:{name:"University of Alicante",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"79367",title:"Dr.",name:"Ana Isabel",middleName:null,surname:"Flores",fullName:"Ana Isabel Flores",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRpIOQA0/Profile_Picture_1632418099564",institutionString:null,institution:{name:"Hospital Universitario 12 De Octubre",institutionURL:null,country:{name:"Spain"}}},{id:"328234",title:"Ph.D.",name:"Christian",middleName:null,surname:"Palavecino",fullName:"Christian Palavecino",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000030DhEhQAK/Profile_Picture_1628835318625",institutionString:null,institution:{name:"Central University of Chile",institutionURL:null,country:{name:"Chile"}}},{id:"186585",title:"Dr.",name:"Francisco Javier",middleName:null,surname:"Martin-Romero",fullName:"Francisco Javier Martin-Romero",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSB3HQAW/Profile_Picture_1631258137641",institutionString:null,institution:{name:"University of Extremadura",institutionURL:null,country:{name:"Spain"}}}]},{id:"15",title:"Chemical Biology",keywords:"Phenolic Compounds, Essential Oils, Modification of Biomolecules, Glycobiology, Combinatorial Chemistry, Therapeutic peptides, Enzyme Inhibitors",scope:"Chemical biology spans the fields of chemistry and biology involving the application of biological and chemical molecules and techniques. In recent years, the application of chemistry to biological molecules has gained significant interest in medicinal and pharmacological studies. This topic will be devoted to understanding the interplay between biomolecules and chemical compounds, their structure and function, and their potential applications in related fields. Being a part of the biochemistry discipline, the ideas and concepts that have emerged from Chemical Biology have affected other related areas. This topic will closely deal with all emerging trends in this discipline.",annualVolume:11411,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/15.jpg",editor:{id:"441442",title:"Dr.",name:"Şükrü",middleName:null,surname:"Beydemir",fullName:"Şükrü Beydemir",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003GsUoIQAV/Profile_Picture_1634557147521",institutionString:null,institution:{name:"Anadolu University",institutionURL:null,country:{name:"Turkey"}}},editorTwo:{id:"13652",title:"Prof.",name:"Deniz",middleName:null,surname:"Ekinci",fullName:"Deniz Ekinci",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYLT1QAO/Profile_Picture_1634557223079",institutionString:null,institution:{name:"Ondokuz Mayıs University",institutionURL:null,country:{name:"Turkey"}}},editorThree:null,editorialBoard:[{id:"241413",title:"Dr.",name:"Azhar",middleName:null,surname:"Rasul",fullName:"Azhar Rasul",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRT1oQAG/Profile_Picture_1635251978933",institutionString:null,institution:{name:"Government College University, Faisalabad",institutionURL:null,country:{name:"Pakistan"}}},{id:"178316",title:"Ph.D.",name:"Sergey",middleName:null,surname:"Sedykh",fullName:"Sergey Sedykh",profilePictureURL:"https://mts.intechopen.com/storage/users/178316/images/system/178316.jfif",institutionString:null,institution:{name:"Novosibirsk State University",institutionURL:null,country:{name:"Russia"}}}]},{id:"17",title:"Metabolism",keywords:"Biomolecules Metabolism, Energy Metabolism, Metabolic Pathways, Key Metabolic Enzymes, Metabolic Adaptation",scope:"Metabolism is frequently defined in biochemistry textbooks as the overall process that allows living systems to acquire and use the free energy they need for their vital functions or the chemical processes that occur within a living organism to maintain life. Behind these definitions are hidden all the aspects of normal and pathological functioning of all processes that the topic ‘Metabolism’ will cover within the Biochemistry Series. Thus all studies on metabolism will be considered for publication.",annualVolume:11413,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/17.jpg",editor:{id:"138626",title:"Dr.",name:"Yannis",middleName:null,surname:"Karamanos",fullName:"Yannis Karamanos",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002g6Jv2QAE/Profile_Picture_1629356660984",institutionString:null,institution:{name:"Artois University",institutionURL:null,country:{name:"France"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"243049",title:"Dr.",name:"Anca",middleName:null,surname:"Pantea Stoian",fullName:"Anca Pantea Stoian",profilePictureURL:"https://mts.intechopen.com/storage/users/243049/images/system/243049.jpg",institutionString:null,institution:{name:"Carol Davila University of Medicine and Pharmacy",institutionURL:null,country:{name:"Romania"}}},{id:"203824",title:"Dr.",name:"Attilio",middleName:null,surname:"Rigotti",fullName:"Attilio Rigotti",profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institutionString:null,institution:{name:"Pontifical Catholic University of Chile",institutionURL:null,country:{name:"Chile"}}},{id:"300470",title:"Dr.",name:"Yanfei (Jacob)",middleName:null,surname:"Qi",fullName:"Yanfei (Jacob) Qi",profilePictureURL:"https://mts.intechopen.com/storage/users/300470/images/system/300470.jpg",institutionString:null,institution:{name:"Centenary Institute of Cancer Medicine and Cell Biology",institutionURL:null,country:{name:"Australia"}}}]},{id:"18",title:"Proteomics",keywords:"Mono- and Two-Dimensional Gel Electrophoresis (1-and 2-DE), Liquid Chromatography (LC), Mass Spectrometry/Tandem Mass Spectrometry (MS; MS/MS), Proteins",scope:"With the recognition that the human genome cannot provide answers to the etiology of a disorder, changes in the proteins expressed by a genome became a focus in research. Thus proteomics, an area of research that detects all protein forms expressed in an organism, including splice isoforms and post-translational modifications, is more suitable than genomics for a comprehensive understanding of the biochemical processes that govern life. The most common proteomics applications are currently in the clinical field for the identification, in a variety of biological matrices, of biomarkers for diagnosis and therapeutic intervention of disorders. From the comparison of proteomic profiles of control and disease or different physiological states, which may emerge, changes in protein expression can provide new insights into the roles played by some proteins in human pathologies. Understanding how proteins function and interact with each other is another goal of proteomics that makes this approach even more intriguing. Specialized technology and expertise are required to assess the proteome of any biological sample. Currently, proteomics relies mainly on mass spectrometry (MS) combined with electrophoretic (1 or 2-DE-MS) and/or chromatographic techniques (LC-MS/MS). MS is an excellent tool that has gained popularity in proteomics because of its ability to gather a complex body of information such as cataloging protein expression, identifying protein modification sites, and defining protein interactions. The Proteomics topic aims to attract contributions on all aspects of MS-based proteomics that, by pushing the boundaries of MS capabilities, may address biological problems that have not been resolved yet.",annualVolume:11414,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/18.jpg",editor:{id:"200689",title:"Prof.",name:"Paolo",middleName:null,surname:"Iadarola",fullName:"Paolo Iadarola",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSCl8QAG/Profile_Picture_1623568118342",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorTwo:{id:"201414",title:"Dr.",name:"Simona",middleName:null,surname:"Viglio",fullName:"Simona Viglio",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRKDHQA4/Profile_Picture_1630402531487",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorThree:null,editorialBoard:[{id:"72288",title:"Dr.",name:"Arli Aditya",middleName:null,surname:"Parikesit",fullName:"Arli Aditya Parikesit",profilePictureURL:"https://mts.intechopen.com/storage/users/72288/images/system/72288.jpg",institutionString:null,institution:{name:"Indonesia International Institute for Life Sciences",institutionURL:null,country:{name:"Indonesia"}}},{id:"40928",title:"Dr.",name:"Cesar",middleName:null,surname:"Lopez-Camarillo",fullName:"Cesar Lopez-Camarillo",profilePictureURL:"https://mts.intechopen.com/storage/users/40928/images/3884_n.png",institutionString:null,institution:{name:"Universidad Autónoma de la Ciudad de México",institutionURL:null,country:{name:"Mexico"}}},{id:"81926",title:"Dr.",name:"Shymaa",middleName:null,surname:"Enany",fullName:"Shymaa Enany",profilePictureURL:"https://mts.intechopen.com/storage/users/81926/images/system/81926.png",institutionString:"Suez Canal University",institution:{name:"Suez Canal University",institutionURL:null,country:{name:"Egypt"}}}]}]}},libraryRecommendation:{success:null,errors:{},institutions:[]},route:{name:"profile.detail",path:"/profiles/160098",hash:"",query:{},params:{id:"160098"},fullPath:"/profiles/160098",meta:{},from:{name:null,path:"/",hash:"",query:{},params:{},fullPath:"/",meta:{}}}},function(){var e;(e=document.currentScript||document.scripts[document.scripts.length-1]).parentNode.removeChild(e)}()