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

Ghazal Assadipour, Ginger Y. Ke and Manish Verma

Transportation Research Part E: Logistics and Transportation Review, 2015, vol. 76, issue C, 45-57

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.

Keywords: Rail–truck transportation; Congestion; Hazardous materials; Capacity planning; Non-linear programming; Metaheuristics (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (25)

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DOI: 10.1016/j.tre.2015.02.003

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