Stochastic Programming in Supply Chain Risk Management

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Focusing on supply chain resilience, viability, and cybersecurity, this book presents a novel multi-portfolio approach to tackle contemporary risk management challenges. It addresses disruptions from global crises, including pandemics, and incorporates stochastic programming formulations. The content is enriched with computational examples based on real-world scenarios, demonstrating the application of advanced modeling techniques using AMPL and GUROBI solver to solve complex supply chain issues effectively.