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<div>Lean and Green Supply Chain Management: A Comprehensive Review.- A New Model for Lean and Green Closed-Loop&nbsp; Supply Chain Optimization.- Risk Management in Lean & Green Supply Chain: A Novel Fuzzy Linguistic Risk Assessment Approach.- A New Multi Objective Linear Prpgramming Model For Lean and Green Supplier Selection With Fuzzy Topsis.- The Impact of Routing on CO2 Emissions at a Retail Grocery Store Chain: A GIS-based Solution Approach.- A Simulated Annealing Algorithm Based Solution Method for a Green Vehicle Routing Problem with Fuel Consumption.- Development of a web-based decision support system for strategic and tactical sustainable fleet management problems in intermodal transportation networks.- Integrated production scheduling and distribution planning with time windows.- Achieving Shojinka by Integrated Balancing of Multiple Straight Lines with Resource Dependent Task Times.</div><div><br></div>

Prof. Dr. Turan Paksoy received his B.S. degree in Industrial Engineering from Gazi University, M.S. degree in Industrial Engineering and Ph.D. degree in Production Management from Selçuk University in 2004. He received the Associate’s degree in Production Management in 2008 from National Academic Council of Turkey. In 2015, he was promoted to full professor at Selçuk University. Dr. Paksoy currently has been working as a faculty member at Konya Technical University, Department of Industrial Engineering. He attended to London Kingston University as visiting professor in 2015. Dr. Paksoy also has the affiliation of founding director of KTO Karatay University Lean & Green SCM Lab since 2017. He has been honored with being chosen for “Global Sustainable Leaders” by U.S Green Chamber of Commerce in 2018. Dr. Paksoy has over 200 published papers (about 35 papers in SCI indexed journals). His papers appear frequently at reputable and internationally recognized journals such as Computers andIndustrial Engineering, European Journal of Operational Research, Transportation Research, International Journal of Production Research. His academic studies have been cited about 800 times in SCI journals. Dr. Paksoy current academic interest includes Lean Manufacturing, Green Logistics, Closed Loop Supply Chain Management, and Fuzzy Decision Making.<div></div><p></p><div>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.<br></div><div><br></div><div>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.<br></div>

This book presents the latest developments in optimization and optimal control models; exact, approximate and hybrid methods; and their applications in lean and green supply chains. It examines supply chain network design and modeling, closed loop supply chains, and lean, green, resilient and agile or responsive networks, and also discusses corporate social responsibility and occupational health and safety. It particularly focuses on supply chain management under uncertainty – employing stochastic or nonlinear modeling, simulation based studies and optimization – multi-criteria decision-making and applications of fuzzy set theory, and covers various aspects of supply chain management such as risk management, supplier selection or the design of automated warehouses. Lastly, using experimental applications and practical case studies, it shows the impact of lean and green applications on vehicle/fleet management and operations management.

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

<p>Presents latest optimization models and algorithms to support agile and environmentally friendly supply chains</p> <p>Incorporates exact, approximate and hybrid methods and their applications</p> <p>Provides case studies and experimental applications for network modeling in green and lean supply chains</p>