Aitor Goti

Aitor Goti Elordi is Engineer in Industrial Management from Mondragon University and Ph.D. from Politechnic University of Valencia. He is currently lecturer at the University of Deusto, where he teaches in the Bilbao campus. His teaching focuses on the degrees of the department of Industrial Technologies and the double degree in Business administration plus Engineering. Specifically, he teaches Business Administration (Basque and Spanish), Management of processes via ERP information systems, Industrial Organization, Economics and Technical Office (English and Spanish). His publications are focused mainly with Industrial Organization. He belongs to the Industrial Management and Logistics research group, recognized as group by the University since 2002. Other interest areas of research are: Maintenance, Operations, Discrete Event Simulation, ERP, BIG DATA.

Aitor Goti

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Considered by many authors as a technique for modelling stochastic, dynamic and discretely evolving systems, this technique has gained widespread acceptance among the practitioners who want to represent and improve complex systems. Since DES is a technique applied in incredibly different areas, this book reflects many different points of view about DES, thus, all authors describe how it is understood and applied within their context of work, providing an extensive understanding of what DES is. It can be said that the name of the book itself reflects the plurality that these points of view represent. The book embraces a number of topics covering theory, methods and applications to a wide range of sectors and problem areas that have been categorised into five groups. As well as the previously explained variety of points of view concerning DES, there is one additional thing to remark about this book: its richness when talking about actual data or actual data based analysis. When most academic areas are lacking application cases, roughly the half part of the chapters included in this book deal with actual problems or at least are based on actual data. Thus, the editor firmly believes that this book will be interesting for both beginners and practitioners in the area of DES.

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