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 explore risk-neutral, risk-averse, and mean-risk decision-making amidst disruption risks. The content emphasizes integrated strategies for disruption mitigation and recovery, introducing a computationally efficient multi-portfolio approach for selecting primary and recovery supply, demand, and capacity portfolios.