Overview
- Presents practical applications of stochastic mixed integer programming for integrated decision-making in supply chain disruption management
- Uses computational examples for commercially available software
- Has end-of-chapter problems, examples and managerial insights in all chapters
Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 291)
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Table of contents (15 chapters)
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Front Matter
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Selection of Supply Portfolio
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Front Matter
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Integrated Selection of Supply Portfolio and Scheduling
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Front Matter
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Equitably Efficient Selection of Supply Portfolio and Scheduling
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Front Matter
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Selection of Primary and Recovery Portfolios and Scheduling
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Front Matter
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Selection of Supply Portfolio in Multi-Tier Supply Chain Networks
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Front Matter
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Keywords
About this book
This book deals with stochastic combinatorial optimization problems in supply chain disruption management, with a particular focus on management of disrupted flows in customer-driven supply chains. The problems are modeled using a scenario based stochastic mixed integer programming to address riskneutral, risk-averse and mean-risk decision-making in the presence of supply chain disruption risks. The book focuses on integrated disruption mitigation and recovery decision-making and innovative, computationally efficient multi-portfolio approach to supply chain disruption management, e.g., selection of primary and recovery supply portfolios, demand portfolios, capacity portfolios, etc.
Numerous computational examples throughout the book, modeled in part on realworld supply chain disruption management problems, illustrate the material presented and provide managerial insights. Many propositions formulated in the book lead to a deep understanding of the properties of developed stochastic mixed integer programs and optimal solutions. 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 six 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 production and inventory scheduling, Part V deals with selection of resilient supply portfolio in multitier supply chain networks; and Part VI addresses selection of cybersecurity safequards portfolio for disruption management of information flows in supply chains.Authors and Affiliations
About the author
Bibliographic Information
Book Title: Supply Chain Disruption Management
Book Subtitle: Using Stochastic Mixed Integer Programming
Authors: Tadeusz Sawik
Series Title: International Series in Operations Research & Management Science
DOI: https://doi.org/10.1007/978-3-030-44814-1
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-44813-4Published: 30 May 2020
Softcover ISBN: 978-3-030-44816-5Published: 30 May 2021
eBook ISBN: 978-3-030-44814-1Published: 29 May 2020
Series ISSN: 0884-8289
Series E-ISSN: 2214-7934
Edition Number: 2
Number of Pages: XXXIII, 467
Number of Illustrations: 6 b/w illustrations, 72 illustrations in colour
Topics: Operations Research/Decision Theory, Supply Chain Management, Industrial and Production Engineering