Transfer Point Location and Routing of Hazardous Material Problem with Bi-Modal Rail - Road Transportation Considering Risk Equity in the Network

Document Type : Scientific - Research

Authors

1 Assistant Professor, Department of Industrial Engineering, Industrial Engineering, University of Kurdistan, Sanadaj, Iran

2 Department of Industrial Engineering, Industrial Engineering, University of Kurdistan, Sanadaj, Iran

Abstract

Unlike other materials, transportation of hazardous materials due to the multiple risks, has been considered by transportation companies and planners in economic and social aspects. The present research investigates the problem of location and routing of hazardous materials by the rail-road multimodal transportation. In this category of problems, in addition to efficiency aspect or cost that is important for carriers, the focus of authorities and government officials usually is on social aspect or balanced and equitable distribution of risk. Therefore, issues raised in this field of transportation has multiple and often contradictory objectives including cost and risk. In this study, a path based mixed integer multi-objective mathematical programming model that focuses on minimizing costs, minimizing the maximum risk-edge and minimizing the maximum transfer terminals risk to find simultaneously the optimum location of transportation terminals and optimal routing of hazardous materials is presented. The model is solved by an improved -constrained approach that has priority based on speed and performance compared to the traditional version. Since the presented problem has a large number of Pareto optimal solutions, choosing the best solution from among this set of solutions for decision-makers is difficult; therefore, a set of performance indicators including risk equity indexes within the network is provided to select the appropriate solution. Computational studies carried out on some instances with different dimensions, showing the superiority of the proposed model compared to conventional models in spreading the risk equitably in rail-road multimodal transportation networks.

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