Tadeusz Sawik Boeken

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.

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.