Overview
- Presents a survey of the modern theory and application of logistics management
- Only book that combines theory, algorithms and best practice in logistics and supply chain management
- Timely and authoritative survey of the field
- Four new chapters added in addition to five new sections with a significant update of two existing sections
Part of the book series: Springer Series in Operations Research and Financial Engineering (ORFE)
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Table of contents (21 chapters)
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Front Matter
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Performance Analysis Techniques
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Front Matter
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Competition, Coordination and Design Models
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Front Matter
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Vehicle Routing Models
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Front Matter
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Keywords
About this book
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).
Reviews
“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)
Authors and Affiliations
About the authors
Bibliographic Information
Book Title: The Logic of Logistics
Book Subtitle: Theory, Algorithms, and Applications for Logistics Management
Authors: David Simchi-Levi, Xin Chen, Julien Bramel
Series Title: Springer Series in Operations Research and Financial Engineering
DOI: https://doi.org/10.1007/978-1-4614-9149-1
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media New York 2014
Hardcover ISBN: 978-1-4614-9148-4Published: 18 November 2013
Softcover ISBN: 978-1-4939-5021-8Published: 23 August 2016
eBook ISBN: 978-1-4614-9149-1Published: 19 November 2013
Series ISSN: 1431-8598
Series E-ISSN: 2197-1773
Edition Number: 3
Number of Pages: XX, 447
Number of Illustrations: 25 b/w illustrations, 18 illustrations in colour
Topics: Operations Research, Management Science, Operations Management, Industrial and Production Engineering, Economic Theory/Quantitative Economics/Mathematical Methods