Cooperative maximal covering models for humanitarian relief chain management
Abstract Observing the growing risks of disasters and challenges in humanitarian relief chain management, this study examines the general structure in humanitarian relief chain logistics, and focuses on developing a maximal cooperative covering model with budget considerations to maximize the benefits to the affected population in disastrous regions. Disasters affect regions depending on their severity, and the demand of the disastrous regions cannot be exactly predicted. We incorporate demand uncertainty to capture the uncertain nature of disasters. We include financial efficiency and appeal coverage as two key performance indicators to evaluate humanitarian relief chain management, and preform extensive sensitivity and robustness analysis. We analyze the impact of availability of items through distribution centers on relief chain management, and compare the performance of the proposed model under cooperative and non-cooperative scenarios.