Document Type : Research Paper
Authors
Department of Management, Faculty of Management and Finance, Khatam University, Tehran, Iran.
Abstract
Route selection in multimodal transport networks is a key issue in transport management and planning that require advanced modeling and optimization approaches due to the multimodal nature and complexities arising from uncertainty. This study aims to develop a multi-objective mathematical model for optimal route selection in multimodal transportation networks, simultaneously minimizing transportation costs, carbon emissions, and delivery time deviations while preserving cargo value. This model, by considering time windows and uncertainty management, seeks to provide sustainable solutions to improve the transport system’s performance. In this model, transport capacity and demand are assumed fixed in each period, and costs and time are uncertain. The output of the model determines optimal routes and transport modes to achieve the defined objectives. Also, a robust optimization approach has been used to manage uncertainty and provide a model that maintains its reliability even under uncertain conditions. In order to validate the model, a numerical example of a multimodal transportation network is solved using goal programming approach. The results show that the proposed model using robust optimization has the necessary flexibility to adapt with changes and can help improve the quality of service and reduce operating costs. Also, using the robust optimization approach in a multimodal transportation network leads to increased resilience and network efficiency.
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