Through the distributionally robust optimization method, this book chooses locations for key facilities in emergency supply chains, taking into full account the uncertainty in demand and supply during sudden emergencies and balancing the trade-off among rescue efficiency, effectiveness, and fairness. It characterizes service quality with chance constraints during solving and accelerates solutions using the theoretical characteristics of the model and optimization algorithms.

Features: Considering the impact of sudden emergencies on the location of emergency facilities and material reserve strategies, this book applies theoretical research results to practical cases, offering both theoretical and empirical contributions.

Target audience: Graduate students as well as teachers and researchers in management science and engineering, logistics management and logistics engineering, and transportation planning and management. This book can be used as a reference for related majors and can also serve as reading or reference material for government economic departments engaged in logistics management and emergency management, corporate research institutions, and researchers and managers in related fields.