In a context of global competition, the optimization of logistics systems is inescapable. This book falls within this perspective and presents twelve chapters illustrating the variety and complexity of logistics activities. Each chapter is written by recognized researchers commissioned to survey a specific topic or emerging area of logistics, and focuses on quantitative methods for the design and optimization of logistics systems. Readers can use the volume to acquire condensed knowledge of several important areas of logistics.

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In a context of global competition, the optimization of logistics systems is inescapable. LOGISTICS SYSTEMS: Design and Optimization falls within this perspective and presents twelve chapters that well illustrate the variety and the complexity of logistics activities. Each chapter is written by recognized researchers who have been commissioned to survey a specific topic or emerging area of logistics. The first chapter, by Riopel, Langevin, and Campbell, develops a framework for the entire book. It classifies logistics decisions and highlights the relevant linkages to logistics decisions. The intricacy of these linkages demonstrates how thoroughly the decisions are interrelated and underscores the complexity of managing logistics activities. Each of the following chapters focus on quantitative methods for the design and optimization of logistics systems.

Some of the chapter topics include the following: The recent research on expanding facility location decisions in different supply chain contexts. The specific functions of a distribution center vis-�-vis the classical warehouse. A taxonomy of warehouse decision models in terms of efficient warehousing. Transportation and production planning of reverse logistics. The research on the operation of port container terminals is systematically examined. An assessment of the recent metaheuristics advances in the vehicle routing problem. An impact analysis of customer centricity, personalization, and collaboration verses the agility of network stakeholders using a comprehensive operations planning optimization model specifically for this product context of high-value products like vehicles, computers, equipment, etc. Chapter material draws liberally on case material and real world applications.

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