Green Supplier Evaluation and Selection: Models, Methods and Applications - Hu-Chen Liu, Xiao-Yue You

Green Supplier Evaluation and Selection: Models, Methods and Applications (eBook)

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2021 | 1st ed. 2021
XXV, 366 Seiten
Springer Singapore (Verlag)
978-981-16-0382-2 (ISBN)
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This book offers an introduction to various models and methods for green supplier evaluation and selection (GSES) within different information settings. As such, it provides valuable knowledge, useful GSES methods and practical examples that can be considered by manufacturers in selecting appropriate green suppliers to improve their environmental performance and customer satisfaction. This book is useful for practitioners and researchers working in the fields of supply chain management, operation management, information science, industrial engineering, and management science. It is also useful as a textbook for postgraduate and senior undergraduate students. 

Hu-Chen Liu received his M.Sc. degree in Industrial Engineering from Tongji University, Shanghai, China, in 2010, and his Ph.D. degree in Industrial Engineering and Management from Tokyo Institute of Technology, Tokyo, Japan, in 2013. He is currently a professor at the School of Economics and Management, Tongji University. His main research interests include quality and reliability management, Petri net theory and application, and green supply chain management. He has published more than 100 publications including 3 books and 90+ journal papers. Majority of them are published in leading journals of related areas, such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Cybernetics, IEEE Transactions on Reliability, International Journal of Production Economics, International Journal of Production Research, and Annals of Operations Research.  

Dr. Liu is Associate Academician of the International Academy for Quality and is a senior member of the IEEE Systems, Man, and Cybernetics Society, the IEEE Reliability Society, the INFORMS, the Institute of Industrial & Systems Engineers (IISE), and the China Association for Quality.

Xiao-Yue You received her Ph.D. degree in Business Administration from Tongji University, Shanghai, China, in 2019. She was also a joint Ph.D. student in International Manufacturing, Institute for Manufacturing at the University of Cambridge from 2017 to 2019. She is now an assistant professor at the Sino-German College of Applied Sciences (CDHAW in German), Tongji University. Her current research interests include strategy management, green supply management, and lean management. She has published more than 30 journal papers in leading journals of related areas, such as IEEE Transactions on Cybernetics, IEEE Transactions on Systems, Man, and Cybernetics: Systems, International Journal of Production Research, Computers & Industrial Engineering, and Reliability Engineering and System Safety.



This book offers an introduction to various models and methods for green supplier evaluation and selection (GSES) within different information settings. As such, it provides valuable knowledge, useful GSES methods and practical examples that can be considered by manufacturers in selecting appropriate green suppliers to improve their environmental performance and customer satisfaction. This book is useful for practitioners and researchers working in the fields of supply chain management, operation management, information science, industrial engineering, and management science. It is also useful as a textbook for postgraduate and senior undergraduate students. 
Erscheint lt. Verlag 22.3.2021
Zusatzinfo XXV, 366 p. 33 illus., 26 illus. in color.
Sprache englisch
Themenwelt Technik Bauwesen
Technik Maschinenbau
Wirtschaft Betriebswirtschaft / Management Logistik / Produktion
Wirtschaft Betriebswirtschaft / Management Planung / Organisation
Wirtschaft Betriebswirtschaft / Management Unternehmensführung / Management
Schlagworte Green supplier evaluation • Green Supplier Selection • Logistics Management • multi-criteria decision making • Supply Chain Management
ISBN-10 981-16-0382-0 / 9811603820
ISBN-13 978-981-16-0382-2 / 9789811603822
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