Supply Chain Disruption Management

Using Stochastic Mixed Integer Programming

  • Tadeusz Sawik

Part of the International Series in Operations Research & Management Science book series (ISOR, volume 291)

Table of contents

  1. Front Matter
    Pages i-xxxiii
  2. Tadeusz Sawik
    Pages 1-16
  3. Selection of Supply Portfolio

    1. Front Matter
      Pages 17-17
    2. Tadeusz Sawik
      Pages 19-45
    3. Tadeusz Sawik
      Pages 47-75
    4. Tadeusz Sawik
      Pages 77-108
  4. Integrated Selection of Supply Portfolio and Scheduling

  5. Equitably Efficient Selection of Supply Portfolio and Scheduling

    1. Front Matter
      Pages 191-191
    2. Tadeusz Sawik
      Pages 193-214
  6. Selection of Primary and Recovery Portfolios and Scheduling

  7. Selection of Supply Portfolio in Multi-Tier Supply Chain Networks

  8. Information Flow Disruption Management

    1. Front Matter
      Pages 425-425
  9. Back Matter
    Pages 449-467

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 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.


Supply Chain Management Supply Chain Risk Stochastic Mixed Integer Programming Supply Chain Disruption AMPL CPLEX GUROBI

Authors and affiliations

  • Tadeusz Sawik
    • 1
  1. 1.Department of Operations Research, AGH University of Science and Technology, Kraków, PolandDepartment of Engineering, Reykjavik UniversityReykjavikIceland

Bibliographic information

  • DOI
  • Copyright Information The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020
  • Publisher Name Springer, Cham
  • eBook Packages Business and Management Business and Management (R0)
  • Print ISBN 978-3-030-44813-4
  • Online ISBN 978-3-030-44814-1
  • Series Print ISSN 0884-8289
  • Series Online ISSN 2214-7934
  • Buy this book on publisher's site
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