The Logic of Logistics: Theory, Algorithms, and Applications for Logistics Management

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.

This third edition includes new chapters on the subjects of game theory, the power of process flexibility, supply chain competition and collaboration. Among the other materials new to the edition are sections on discrete convex analysis and its applications to stochastic inventory models, as well as extended discussions of integrated inventory and pricing models. The material presents a timely and authoritative survey of the field that will make an invaluable companion to the work of many researchers and practitioners.

Review of earlier edition:

"The present book focuses on the application of operational researchand 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." (OR News, Issue 25, 2005).

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The Logic of Logistics: Theory, Algorithms, and Applications for Logistics Management

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.

This third edition includes new chapters on the subjects of game theory, the power of process flexibility, supply chain competition and collaboration. Among the other materials new to the edition are sections on discrete convex analysis and its applications to stochastic inventory models, as well as extended discussions of integrated inventory and pricing models. The material presents a timely and authoritative survey of the field that will make an invaluable companion to the work of many researchers and practitioners.

Review of earlier edition:

"The present book focuses on the application of operational researchand 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." (OR News, Issue 25, 2005).

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The Logic of Logistics: Theory, Algorithms, and Applications for Logistics Management

The Logic of Logistics: Theory, Algorithms, and Applications for Logistics Management

The Logic of Logistics: Theory, Algorithms, and Applications for Logistics Management

The Logic of Logistics: Theory, Algorithms, and Applications for Logistics Management

eBook3rd ed. 2014 (3rd ed. 2014)

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Overview

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.

This third edition includes new chapters on the subjects of game theory, the power of process flexibility, supply chain competition and collaboration. Among the other materials new to the edition are sections on discrete convex analysis and its applications to stochastic inventory models, as well as extended discussions of integrated inventory and pricing models. The material presents a timely and authoritative survey of the field that will make an invaluable companion to the work of many researchers and practitioners.

Review of earlier edition:

"The present book focuses on the application of operational researchand 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." (OR News, Issue 25, 2005).


Product Details

ISBN-13: 9781461491491
Publisher: Springer-Verlag New York, LLC
Publication date: 11/19/2013
Series: Springer Series in Operations Research and Financial Engineering
Sold by: Barnes & Noble
Format: eBook
File size: 7 MB

About the Author

David Simch-Levi is a professor at the Massachusetts Institute of Technology in Cambridge, Massachusetts. Xin Chen is an associate professor at the University of Illinois at Urbana-Champaign. Julien Bramel works in financial analysis in New York City.

Table of Contents

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.

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