International Journal of Computational Intelligence Systems (Feb 2021)

Multi-objective Optimization of Freight Route Choices in Multimodal Transportation

  • Kwanjira Kaewfak,
  • Veeris Ammarapala,
  • Van-Nam Huynh

DOI
https://doi.org/10.2991/ijcis.d.210126.001
Journal volume & issue
Vol. 14, no. 1

Abstract

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Route selection strategy has become the main aspect in the multimodal transportation system. The transport cost and time as well as the inherent risks must be considered when determining a corrective design plan. The selection of a multimodal transportation network route is a complex multi-objective decision problem. Therefore, considering the impact factors such as the transport cost, time, and comprehensive risk assessment model were further created. This paper develops a decision support model using an analytic hierarchy process (AHP) and zero-one goal programing (ZOGP) to determine an optimal multimodal transportation route. AHP is employed to determine weights of each factor, which rely on expert judgments. The significant weights of criteria obtained from AHP can be integrated in the objective function of ZOGP which is used to generate the optimal route. The empirical case study of coal manufacturing is conducted to demonstrate the proposed model. This methodology can provide a guidance for effectively determining the multimodal transportation routes to improve performance of logistics systems.

Keywords