A Multi-Objective Model for Humanitarian Logistics Model During an Earthquake Crisis‎: ‎A Case Study of Iran

Natural disasters‎, ‎such as earthquakes‎, ‎result in significant financial and human losses‎. ‎Rescue operations play a crucial role in managing such crises‎. ‎However‎, ‎the lack of precise information and the damage or destruction of urban transportation routes following earthquakes introduces uncertainty into these operations‎. ‎This study presents a multi-objective humanitarian logistics model that utilizes a mixed-integer nonlinear programming (MINLP) approach‎. ‎The model considers the reliability of transportation routes after an earthquake‎, ‎the standard response time for allocating personnel and relief equipment‎, ‎and the coverage maximization‎. ‎This model incorporates various uncertainties‎, ‎including the reliability of the transportation network‎. ‎Real data from the city of Gonabad‎, ‎Iran‎, ‎was used to evaluate the proposed model‎. ‎The results and sensitivity analysis demonstrated that the model exhibits desirable performance‎.