Authors:
- Provides the results of research from the last 6-12 months, which has not yet been published in book form
- Offers experience in dealing with advanced algorithms for some of the most challenging problems in supply chain design and management
- Includes a number of case studies
- Includes supplementary material: sn.pub/extras
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Table of contents (6 chapters)
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Front Matter
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Back Matter
About this book
Quantitative Methods in Supply Chain Management presents some of the most important methods and tools available for modeling and solving problems arising in the context of supply chain management. In the context of this book, “solving problems” usually means designing efficient algorithms for obtaining high-quality solutions.
The first chapter is an extensive optimization review covering continuous unconstrained and constrained linear and nonlinear optimization algorithms, as well as dynamic programming and discrete optimization exact methods and heuristics. The second chapter presents time-series forecasting methods together with prediction market techniques for demand forecasting of new products and services. The third chapter details models and algorithms for planning and scheduling with an emphasis on production planning and personnel scheduling. The fourth chapter presents deterministic and stochastic models for inventory control with a detailed analysis on periodic review systems and algorithmic development for optimal control of such systems. The fifth chapter discusses models and algorithms for location/allocation problems arising in supply chain management, and transportation problems arising in distribution management in particular, such as the vehicle routing problem and others. The sixth and final chapter presents a short list of new trends in supply chain management with a discussion of the related challenges that each new trend might bring along in the immediate to near future.
Overall, Quantitative Methods in Supply Chain Management may be of particular interest to students and researchers in the fields of supply chain management, operations management, operations research, industrial engineering, and computer science.
Reviews
From the reviews:
“This work useful as a textbook to teach subjects related to resolving practical problems in supply chain management at a master’s level. … the exercises are excellent vehicles for teaching graduate and PhD students. … Christou’s book is a good reference for researchers and operations research and operations management students who wish to gain a global view of supply chain management using mathematical procedures. Thus, it would be extremely helpful in introducing new students to supply chain management models.” (Javier Faulin, Interfaces, Vol. 43 (2), March-April, 2013)Authors and Affiliations
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Athens Information Technology, Paiania, Athens, Greece
Ioannis T. Christou
About the author
Bibliographic Information
Book Title: Quantitative Methods in Supply Chain Management
Book Subtitle: Models and Algorithms
Authors: Ioannis T. Christou
DOI: https://doi.org/10.1007/978-0-85729-766-2
Publisher: Springer London
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag London Limited 2012
Hardcover ISBN: 978-0-85729-765-5Published: 05 October 2011
Softcover ISBN: 978-1-4471-6038-0Published: 29 November 2013
eBook ISBN: 978-0-85729-766-2Published: 05 October 2011
Edition Number: 1
Number of Pages: XIV, 398
Topics: Engineering Economics, Organization, Logistics, Marketing, Operations Management, Algorithms, Quality Control, Reliability, Safety and Risk