Overview
- Presents the latest optimization models and algorithms to support lean and environmentally friendly supply chains
- Incorporates exact, approximate and hybrid methods and their applications
- Provides case studies and experimental applications for network modeling in green and lean supply chains
Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 273)
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Table of contents (9 chapters)
Keywords
- supply chain network design
- supply chain network modelling
- closed loop supply chain
- multi-criteria decision making
- Industry 4.0
- cloud computing in supply chain management
- design of automated warehouses
- supplier selection
- risk management in supply chains
- applications of fuzzy sets
- case studies
- optimal control
- simulation based studies
- sustainability
- corporate social responsibility
About this book
Editors and Affiliations
About the editors
G.-W. Weber is a Professor at Poznan University of Technology, Poznan, Poland, at Faculty of Engineering Management, in the Chair of Marketing and Economic Engineering. His research is on mathematics, OR (operational research), finance, economics, optimization and control, neuro- and bio-sciences, data mining, analytics, AI, education and development. He received Diploma and Doctorate in Mathematics, and Economics / Business Administration, at RWTH Aachen, and Habilitation at TU Darmstadt (Germany). He replaced Professorships at University of Cologne, and TU Chemnitz, Germany. At Institute of Applied Mathematics, METU, Ankara, Turkey, he was a Professor in the programs of Financial Mathematics and Scientific Computing, and has been a member of further METU graduate schools, institutes and departments. He has different affiliations at Universities of Siegen (Germany), Federation University (Ballarat, Australia), University of Aveiro (Portugal), University of North Sumatra (Medan, Indonesia), Malaysia University of Technology, Chinese University of Hong Kong, KTO Karatay University (Konya, Turkey); at EURO (Association of European OR Societies) where he is “Advisor to EURO Conferences” and IFORS (International Federation of OR Societies), where he is member in many national OR societies and working groups, at POP (Pacific Optimization Research Activity Group), etc. He has publications in a variety of fields, he is a member in numerous editorial boards and has supervised many young people.
Sandra Huber is a member of the Logistics-Management Department at the Helmut-Schmidt-University, University of the Federal Armed Forces in Hamburg, Germany since 2013. Prior to this position, she received her M.Sc. of Science at the Helmut-Schmidt-University. In 2016 she was awarded with her PhD degree with a thesis on Interactive Multiobjective Optimization in Supply Chain Management – Local search strategies for Rich Vehicle Routing Problems. Her research area is in decision support and supply chain management. She is particularly interested in multi-objective combinatorial optimization, interactive approaches, heuristics for Vehicle Routing Problems and the simulation of preference information. She visited the research institute CIRRELT in Montréal, Canada as well as the Université Bretagne Sud.
Bibliographic Information
Book Title: Lean and Green Supply Chain Management
Book Subtitle: Optimization Models and Algorithms
Editors: Turan Paksoy, Gerhard-Wilhelm Weber, Sandra Huber
Series Title: International Series in Operations Research & Management Science
DOI: https://doi.org/10.1007/978-3-319-97511-5
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-319-97510-8Published: 23 November 2018
eBook ISBN: 978-3-319-97511-5Published: 11 November 2018
Series ISSN: 0884-8289
Series E-ISSN: 2214-7934
Edition Number: 1
Number of Pages: XVII, 270
Number of Illustrations: 51 b/w illustrations, 25 illustrations in colour
Topics: Supply Chain Management, Optimization, Sustainability Management, Transportation, Operations Research/Decision Theory, Corporate Social Responsibility