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Supply Chain Optimization, Design, and Management

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Table of Contents

Title Page

Preface

Chapter 1: Nature-Inspired Intelligence in Supply Chain Management

Chapter 2: Coalitional Added Services in a Linear Neutral e-Marketplace

Chapter 3: Investing in Excess Capacity

Chapter 4: Optimal Design and Operation of Supply Chain Networks under Demand Uncertainty

Chapter 5: A Computational Intelligence Approach to Supply Chain Demand Forecasting

Chapter 6: Generating Supply Chain Ordering Policies using Quantum Inspired Genetic Algorithms and Grammatical Evolution

Chapter 7: Quantitative Risk Management Models for Newsvendor Supply Chains

Chapter 8: Relief Distribution Networks

Chapter 9: An Analytical Model to Estimate the Optimum Production Rate of Picking Processes in a Modular Warehouse Environment

Chapter 10: Constrained Optimization of JIT Manufacturing Systems with Hybrid Genetic Algorithm

Chapter 11: Multi-period routing in Hybrid Courier Operations

Chapter 12: Dynamic Travel Time Estimation Techniques for Urban Freight Transportation Networks Using Historical and Real-Time Data

Compilation of References

About the Contributors

Index

Supply Chain Optimization, Design, and Management: Advances and Intelligent Methods Ioannis Minis University of the Aegean, Greece Vasileios Zeimpekis University of the Aegean, Greece Georgios Dounias University of the Aegean, Greece Nicholas Ampazis University of the Aegean, Greece BUSINESS SCIENCE REFERENCE Hershey · New York

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Contents

Title Page - Pg. i