Lean and Green Supply Chain Management Optimization Models and Algorithms /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Paksoy, Turan (Editor, http://id.loc.gov/vocabulary/relators/edt), Weber, Gerhard-Wilhelm (Editor, http://id.loc.gov/vocabulary/relators/edt), Huber, Sandra (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: International Series in Operations Research & Management Science, 273
• Subjects: Business logistics.; Mathematical optimization.; Industrial management-Environmental aspects.; Transportation.; Operations research.; Decision making.; Social responsibility of business.; Supply Chain Management.; Optimization.; Sustainability Management.; Operations Research/Decision Theory.; Corporate Social Responsibility.

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...

Table of Contents:

• 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 & 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.