Resilience, Viability, and Cybersecurity Sawik, Tadeusz. creator author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access XXIX, 350 p. 67 illus., 62 illus. in color. online resource. 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. Introduction -- Supply Chain Resilience: Supply Portfolio -- Supply Chain Resilience: Multi-Tier Supply Portfolio -- Supply Chain Resilience under Ripple Effect -- Supply Chain Viability: Risk-Neutral Decision-Making -- Supply Chain Viability: Risk-Averse Decision-Making -- Supply Chain Reshoring: Risk-Neutral vs Risk-Averse Decision-Making -- Supply Chain Cybersecurity: A Linear Optimization Model -- Supply Chain Cybersecurity: Direct and Indirect Cyber Risks -- Supply Chain Cybersecurity: Security Controls with Maximum Cybersecurity Value. by Tadeusz Sawik. Business logistics Operations research Stochastic models Financial risk management Data protection Mathematical optimization Supply Chain Management Operations Research and Decision Theory Stochastic Modelling Risk Management Data and Information Security Optimization HD38.5 9783031579271 https://doi.org/10.1007/978-3-031-57927-1 https://doi.org/10.1007/978-3-031-57927-1 240624 20251030112328.0 978-3-031-57927-1