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Planning and managing intermodal transportation of hazardous materials with capacity selection and congestion

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  • Assadipour, Ghazal
  • Ke, Ginger Y.
  • Verma, Manish

Abstract

The current literature in the rail–truck intermodal transportation of hazardous materials (hazmat) domain ignores congestion at intermodal yards. We attempt to close that gap by proposing a bi-objective optimization framework for managing hazmat freight that not only considers congestion at intermodal yards, but also determines the appropriate equipment capacity. The proposed framework, i.e., a non-linear MIP and a multi-objective genetic algorithm based solution methodology, is applied to a realistic size problem instance from existing literature. Our analysis indicates that terminal congestion risk is a significant portion of the network risk; and, that policies and tools involving number of cranes, shorter maximum waiting times, and tighter delivery times could have a positive bearing on risk.

Suggested Citation

  • Assadipour, Ghazal & Ke, Ginger Y. & Verma, Manish, 2015. "Planning and managing intermodal transportation of hazardous materials with capacity selection and congestion," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 76(C), pages 45-57.
    • Handle: RePEc:eee:transe:v:76:y:2015:i:c:p:45-57
    DOI: 10.1016/j.tre.2015.02.003
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    References listed on IDEAS

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