Supply Chain Disruption Management

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Focusing on stochastic combinatorial optimization, this book addresses supply chain disruption management, particularly in customer-driven contexts. It employs scenario-based stochastic mixed integer programming to tackle risk-neutral, risk-averse, and mean-risk decision-making amid disruptions. The text emphasizes integrated strategies for disruption mitigation and recovery, introducing an innovative multi-portfolio approach that aids in selecting primary and recovery supply portfolios, as well as demand and capacity portfolios, enhancing overall supply chain resilience.