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Stochastic Programming in Supply Chain Risk Management

Resilience, Viability, and Cybersecurity

Language EnglishEnglish
Book Hardback
Book Stochastic Programming in Supply Chain Risk Management Tadeusz Sawik
Libristo code: 45246261
Publishers Springer, Berlin, July 2024
This book offers a novel multi-portfolio approach and stochastic programming formulations for modeli... Full description
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This book offers a novel multi-portfolio approach and stochastic programming formulations for modeling and solving contemporary supply chain risk management problems. The focus of the book is on supply chain resilience under propagated disruptions, supply chain viability under severe crises, and supply chain cybersecurity under direct and indirect cyber risks. The content is illustrated with numerous computational examples, some of which are modeled on real-world supply chains subject to severe multi-regional or global crises, such as pandemics. In the computational examples, the proposed stochastic programming models are solved using an advanced algebraic modeling language AMPL and GUROBI solver.  The book seamlessly continues the journey begun in the author's previously published book "Supply Chain Disruption Management: Using Stochastic Mixed Integer Programming." It equips readers with the knowledge, tools, and managerial insights needed to effectively model and address modern supply chain risk management challenges. As such, the book is designed for practitioners and researchers who are interested in supply chain risk management. Master's and Ph.D. students in disciplines like supply chain management, operations research, industrial engineering, applied mathematics, and computer science will also find the book a valuable resource. 

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About the book

Full name Stochastic Programming in Supply Chain Risk Management
Author Tadeusz Sawik
Language English
Binding Book - Hardback
Date of issue 2024
Number of pages 250
EAN 9783031579264
Libristo code 45246261
Publishers Springer, Berlin
Weight 678
Dimensions 155 x 235
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