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All chapters conclude with many exercises that allow to consolidate the material, models methods and theorems of the relevant chapter. The book is a broad introduction into logistics from a wide perspective. It provides a solid basis for understanding and contribution on more specific topics to the state of the art in modern logistics. (Erwin Pesch, zbMATH 1327.90020, 2016)
The present book focuses on the application of operational research and mathematical modelling techniques to logistics and supply chain management (SCM) problems. The authors performed a substantial revision of the 1st edition and included a number of new subjects ... . The book is carefully written and is an important reference for readers with a solid background in probability and optimisation theory ... . the present book should be seen as a valuable guide describing techniques that can be applied or adapted to real-life situations. (Teresa Melo, OR News, Issue 25, 2005)
Introduction.- Convexity and Supermodularity.- Game Theory.- Worst-Case Analysis.- Average-Case Analysis.- Mathematical Programming Based Bounds.- Economic Lot Size Models with Constant Demands.- Economic Lot Size Models with Varying Demands.- Stochastic Inventory Models.- Integration of Inventory and Pricing.- Supply Chain Competition and Collaboration Models.- Procurement Contracts.- Process Flexibility.- Supply Chain Planning Models.- Facility Location Models.- The Capacitated VRP with Equal Demands.- The Capacitated VRP with Unequal Demands.- The VRP with Time Window Constraints.- Solving the VRP Using a Column Generation Approach.- Network Planning.- A Case Study: School Bus Routing.