Synopses & Reviews
Fierce competition in today's global market provides a powerful motivation for developing ever more sophisticated logistics systems. This book, written for the logistics manager and researcher, presents a survey of the modern theory and application of logistics. The goal of the book is to present the state-of-the-art in the science of logistics management. As a result, the authors have written a timely and authoritative survey of this field that many practitioners and researchers will find makes an invaluable companion to their work.
From the reviews of the second edition: "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)
Fierce competition in today's global market provides a powerful motivation for developing ever more sophisticated logisties systems. Written for the logistics manager and researcher, this book presents a timely and authoritative presentation of the modern theory and application of logistics, including case studies in which decision support tools for large-scale logistics applications are developed. The second edition includes three new chapters and coverage of several new topics.
Table of Contents
Introduction.- Convexity and Supermodularity.- 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.- Procurement Contracts.- 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.- References.- Index.