Multi-Objective Modeling of Relief Items Distribution Network Design Problem in Disaster Relief Logistics Considering Transportation System and CO2 Emission

Abstract

The present study aims to propose a multi-objective mixed integer mathematical programming model for designing a relief items distribution network in sustainable disaster relief logistics. The first objective function minimizes the total network costs. Which are divided into two parts: 1relief costs including (transportation costs, inventory costs and fixed costs of facilities) 2-social costs (deprivation cost). The second objective function minimizes the amount of pollution generated by the network. Considering the related literature review, this is the first study that to propose a robust fuzzy optimization approach for relief items distribution network design problem considering environmental (CO 2 emission), social (deprivation cost) and economic impacts under reliability and uncertainty. Then, the multi-objective model was solved using the multi-choice goal programming. To indicate the validity of the proposed model, a case study was evaluated based on real data (2019 flood in Sari city, Mazandaran Province). Using the proposed model, decision-makers and managers are able to make strategic and tactical decisions with the least cost and time, and in relief planning can enhance the structure of distribution networks and inventory and reduce victims' dissatisfaction.

Competitive Relief Supply Chain under the Uncertain Conditions

“…Eventually, the proposed algorithm is implemented on available datasets based on the case study, which indicates the high quality of the solution method in terms of the quality of solution and computational time. Modiri et al [18] introduced a multiobjective mixed-integer mathematical planning model for designing relief product distribution networks in disaster relief logistics. Te frst objective function minimizes the total network costs and is divided into two parts: (1) relief costs (transportation, inventory, and fxed facilities costs) and (2) social costs (privation costs).…”