This paper addresses an integrated relief network design problem for pharmaceutical items. The proposed bi-objective model accounts for perishability of pharmaceutical items, mobility of relief facilities, and benefits from a cooperative coverage mechanism in designing the network. A min–max robust model is developed to tackle the demand uncertainty. Several numerical experiments are conducted to explore the performance of the robust model. Also, by conducting a real case study, useful managerial insights are derived through performing several sensitivity analyses. The numerical results reveal that using the min–max robust model enhances the pharmaceutical relief network’s effectiveness and efficiency considerably.

本文解决了针对药品的综合救济网络设计问题。拟议的双目标模型考虑了药品的易腐性，救济设施的流动性以及在设计网络时受益于合作覆盖机制的好处。开发了最小-最大鲁棒模型来解决需求不确定性。进行了一些数值实验，以探索鲁棒模型的性能。此外，通过进行实际案例研究，可以通过执行几次敏感性分析来获得有用的管理见解。数值结果表明，使用最小-最大鲁棒模型可以大大提高药物救济网络的有效性和效率。