Overview
- Presents practical applications of stochastic mixed integer programming for solving supply chain disruption problems
- Computational examples use commercially available software
- End-of-chapter problems and examples in all chapters
- Includes supplementary material: sn.pub/extras
Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 256)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (11 chapters)
-
Selection of Supply Portfolio
-
Integrated Selection of Supply Portfolio and Scheduling
-
Equitably Efficient Selection of Supply Portfolio and Scheduling
-
Selection of Primary and Recovery Portfolios and Scheduling
-
Information Flow Disruption Management
Keywords
About this book
Numerous computational examples throughout the book, modeled in part on real-world supply chain disruption management problems, illustrate the material presented and provide managerial insights. In the computational examples, the proposed mathematical programming models are solved using an advanced algebraic modeling language such as AMPL and CPLEX, GUROBI and XPRESS solvers. The knowledge and tools provided in the book allow the reader to model and solve supply chain disruption management problems using commercially available software for mixed integer programming. Using the end-of chapter problems and exercises, the monograph can also be used as a textbook for an advanced course in supply chain risk management.
After an introductory chapter, the book is then divided into five main parts. Part I addresses selection of a supply portfolio; Part II considers integrated selection of supply portfolio and scheduling; Part III looks at integrated, equitably efficient selection of supply portfolio and scheduling; Part IV examines integrated selection of primary and recovery supply (and demand) portfolios and scheduling; and Part V addresses disruption management of information flows in supply chains.
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Supply Chain Disruption Management Using Stochastic Mixed Integer Programming
Authors: Tadeusz Sawik
Series Title: International Series in Operations Research & Management Science
DOI: https://doi.org/10.1007/978-3-319-58823-0
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: Springer International Publishing AG 2018
Softcover ISBN: 978-3-319-86483-9Published: 04 August 2018
eBook ISBN: 978-3-319-58823-0Published: 30 June 2017
Series ISSN: 0884-8289
Series E-ISSN: 2214-7934
Edition Number: 1
Number of Pages: XXX, 349
Number of Illustrations: 4 b/w illustrations, 57 illustrations in colour
Topics: Operations Research/Decision Theory, Supply Chain Management, Industrial and Production Engineering