TY  - CHAP
AU  - Patricija Bajec
AU  - Danijela Tuljak-Suban
ED  - Fausto Pedro García Márquez
Y1  - 2019-07-09
PY  - 2019
T1  - A Framework for Detecting the Proper Multi-Criteria Decision-Making Method Taking into Account the Characteristics of Third-Party Logistics, the Requirements of Managers, and the Type of Input Data
N2  - Application of Decision Science in Business and Management is a book where each chapter has been contributed by a different author(s). The chapters introduce and demonstrate a decision-making theory to practice case studies. It demonstrates key results for each sector with diverse real-world case studies. Theory is accompanied by relevant analysis techniques, with a progressive approach building from simple theory to complex and dynamic decisions with multiple data points, including big data, lot of data, etc. Computational techniques, dynamic analysis, probabilistic methods, and mathematical optimization techniques are expertly blended to support analysis of multi-criteria decision-making problems with defined constraints and requirements. The book provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning abilities of decision making. It is complementary to other sub-disciplines such as economics, finance, marketing, decision and risk analysis, etc.
BT  - Application of Decision Science in Business and Management
SP  - Ch. 5
UR  - https://doi.org/10.5772/intechopen.87222
DO  - 10.5772/intechopen.87222
SN  - 978-1-83880-100-7
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-26
ER  -