Lean and green supply chain management : optimization models and algorithms / edited by Turan Paksoy, Gerhard-Wilhelm Weber, Sandra Huber.

Lean and Green Supply Chain Management: A Comprehensive Review -- A New Model for Lean and Green Closed-Loop Supply Chain Optimization -- Risk Management in Lean and 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.

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.