A fuzzy stochastic approach for pre-positioning and distribution of emergency supplies in disaster management
نویسندگان
چکیده
Efficient management of humanitarian relief chains (HRC) is crucial due to the increasing number and intensity of natural disasters around the globe. In this paper, a fuzzy scenario-based stochastic programming (FSBSP) model is proposed for HRC-related logistical problems which are characterized by inherent uncertainty in their input data. The FSBSP model is an extension to an existing stochastic programming (SP) one. It determines optimal policies to deal with pre and post-disaster events in two stages. The first stage identifies the location of warehouse(s) and inventory levels of emergency supplies. The second stage proposes a set of actions in response to a number of disaster scenarios. Application of the proposed model is demonstrated through a case study adapted from the literature. In addition, a number of randomly generated test problems are solved to validate its performance. The results show promising performance of the proposed FSBSP model in comparison with the extended SP one.
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