书目名称 | Stochastic Programming in Supply Chain Risk Management |
副标题 | Resilience, Viabilit |
编辑 | Tadeusz Sawik |
视频video | |
概述 | Includes models for real-world supply chains subject to severe multi-regional or global crises.Utilizes an advanced algebraic modeling language (AMPL) and the GUROBI solver for proposed stochastic pro |
丛书名称 | International Series in Operations Research & Management Science |
图书封面 |  |
描述 | .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 |
出版日期 | Book 2024 |
关键词 | Supply Chain Resilience; Supply Chain Risk Management; Supply Chain Cybersecurity; Linear Optimization |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-031-57927-1 |
isbn_softcover | 978-3-031-57929-5 |
isbn_ebook | 978-3-031-57927-1Series ISSN 0884-8289 Series E-ISSN 2214-7934 |
issn_series | 0884-8289 |
copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |