A multi-objective sustainable load planning model for intermodal transportation networks with a real-life application

Adil Baykasoğlu and Kemal Subulan

Transportation Research Part E: Logistics and Transportation Review, 2016, vol. 95, issue C, 207-247

Abstract: Growing importance of intermodal transportation necessitates modeling and solving load planning problems by taking into account various complex decisions simultaneously like transportation mode/service type selection, load allocation, and outsourcing. This paper presents a mixed-integer mathematical programming model for a multi-objective, multi-mode and multi-period sustainable load planning problem by considering import/export load flows to satisfy transport demands of customers and many other related issues. Several multiple objective optimization procedures are utilized in order to handle conflicting objectives simultaneously under crisp and fuzzy decision making environments. A real-life case study is also performed to present application and usefulness of the proposed model.

Keywords: Load planning; Intermodal freight transportation; Mixed-integer programming; Multi-objective optimization; Environmental issues (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (19)

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DOI: 10.1016/j.tre.2016.09.011

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