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Incorporating Insurance Costs in Hazardous Materials Routing Models

Author

Listed:
  • Vedat Verter

    (Faculty of Management, McGill University, 1001 Sherbrooke Street West, Montreal, Quebec H3A 1G5, Canada)

  • Erhan Erkut

    (Faculty of Business, University of Alberta, Edmonton, Alberta T6G 2R6, Canada)

Abstract

The economic loss associated with the involvement of a hazardous materials truck in an accident can be very high. Although the immediate costs are usually borne by an insurer, the carrier would incur an increase in its future insurance costs as a result. Thus, a hazardous materials carrier can benefit from considering its long-term insurance costs in routing the required shipments. In this paper, we introduce the hazardous materials routing problem under insurance costs. We present a solution methodology that facilitates evaluation of alternative routing policies. The proposed methodology involves solution of a manageable number of shortest path problems in determining the most appropriate route(s). We argue that, for each shipment, the route to be taken by the truck should be determined on the basis of the expected increase in insurance costs due to a possible accident as well as the cost of transportation.

Suggested Citation

  • Vedat Verter & Erhan Erkut, 1997. "Incorporating Insurance Costs in Hazardous Materials Routing Models," Transportation Science, INFORMS, vol. 31(3), pages 227-236, August.
  • Handle: RePEc:inm:ortrsc:v:31:y:1997:i:3:p:227-236
    DOI: 10.1287/trsc.31.3.227
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    Cited by:

    1. Mohri, Seyed Sina & Mohammadi, Mehrdad & Gendreau, Michel & Pirayesh, Amir & Ghasemaghaei, Ali & Salehi, Vahid, 2022. "Hazardous material transportation problems: A comprehensive overview of models and solution approaches," European Journal of Operational Research, Elsevier, vol. 302(1), pages 1-38.
    2. Patrice Marcotte & Anne Mercier & Gilles Savard & Vedat Verter, 2009. "Toll Policies for Mitigating Hazardous Materials Transport Risk," Transportation Science, INFORMS, vol. 43(2), pages 228-243, May.
    3. Kumar, Anand & Roy, Debjit & Verter, Vedat & Sharma, Dheeraj, 2018. "Integrated fleet mix and routing decision for hazmat transportation: A developing country perspective," European Journal of Operational Research, Elsevier, vol. 264(1), pages 225-238.
    4. Wang, Haijun & Tan, Jie & Guo, Shuojia & Wang, Shenhao, 2018. "High-value transportation disruption risk management: Shipment insurance with declared value," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 109(C), pages 293-310.
    5. Amirsaman Kheirkhah & HamidReza Navidi & Masume Messi Bidgoli, 2016. "A bi-level network interdiction model for solving the hazmat routing problem," International Journal of Production Research, Taylor & Francis Journals, vol. 54(2), pages 459-471, January.
    6. Lingxiu Dong & Brian Tomlin, 2012. "Managing Disruption Risk: The Interplay Between Operations and Insurance," Management Science, INFORMS, vol. 58(10), pages 1898-1915, October.

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