Titlebook: Stochastic Programming in Supply Chain Risk Management; Resilience, Viabilit Tadeusz Sawik Book 2024 The Editor(s) (if applicable) and The

arthrodesis

BIDE

中世紀(jì)

Supply Chain Resilience Under Ripple Effects of parts, located outside the primary source region. The decisions are spatiotemporally integrated. The pre-positioning of RMI implemented before a disruptive event is optimized simultaneously with the RMI usage and recovery supply portfolios for the backup suppliers in the aftermath periods. The

衣服

Supply Chain Viability: Risk-Neutral Decision-Making from the cost-optimal and from the service-optimal production schedules under the ripple effect. The findings indicate that for the extreme values of the weight factor, the viable production trajectory is inclined toward the corresponding boundary trajectory and remains in between the two boundarie

congenial

Supply Chain Viability: Risk-Averse Decision-Makingult, more room is available for selecting viable production trajectories under severe disruptions. Moreover, the larger is viability space, the higher is both worst-case and average resilience of the supply chain. Risk-neutral, single-objective decision-making may reduce the supply chain viability.

Measured

蒸發(fā)

Supply Chain Cybersecurity: A Linear Optimization Modele resulting compromise cybersecurity investment aims at balancing vulnerability across the entire supply chain, independent of cyberattack probabilities and potential losses by security breaches, thereby hardening the weaker critical nodes. The findings indicate a crucial role of intrinsic vulnerabi

Cumbersome

Lasting

Supply Chain Cybersecurity: Security Controls with Maximum Cybersecurity Valuecurity value and determine a rough-cut cybersecurity investment. This study also shows that portfolio of security controls with maximum total cybersecurity value reduces the losses from security breaches and mitigates the impact of cyber risk. The major decision-making insights are summarized at the

Perigee

Book 2024s 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