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A Maritime Global Route Planning Model for Hazardous Materials Transportation

Author

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  • Eleftherios Iakovou

    (College of Engineering, University of Miami, P.O. Box 248294, Coral Gables, FL 33124-0640)

  • Christos Douligeris

    (College of Engineering, University of Miami, P.O. Box 248294, Coral Gables, FL 33124-0640)

  • Huan Li

    (College of Engineering, University of Miami, P.O. Box 248294, Coral Gables, FL 33124-0640)

  • Chi Ip

    (College of Engineering, University of Miami, P.O. Box 248294, Coral Gables, FL 33124-0640)

  • Lalit Yudhbir

    (College of Engineering, University of Miami, P.O. Box 248294, Coral Gables, FL 33124-0640)

Abstract

We consider the strategic level routing problem of hazardous materials in marine waters over a multicommodity network with multiple origins–destinations. The problem is motivated by the fact that selecting optimal routes by each origin–destination pair or by each type of material is myopic and may result in overloading certain links of the transportation network and, consequently, in poor overall system performance. We employ a network flow model, instead of the traditional shortest path formulation, to capture the multicommodity, multiple origin–destination nature of the problem. An efficient two-phase solution approach is proposed. The proposed solution methodology is illustrated through a single hazmat problem followed by a large scale case study of the marine transportation system of oil products in the Gulf of Mexico.

Suggested Citation

  • Eleftherios Iakovou & Christos Douligeris & Huan Li & Chi Ip & Lalit Yudhbir, 1999. "A Maritime Global Route Planning Model for Hazardous Materials Transportation," Transportation Science, INFORMS, vol. 33(1), pages 34-48, February.
  • Handle: RePEc:inm:ortrsc:v:33:y:1999:i:1:p:34-48
    DOI: 10.1287/trsc.33.1.34
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    References listed on IDEAS

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    1. Nikiforos A. Papadakis & Anastassios N. Perakis, 1989. "A nonlinear approach to the multiorigin, multidestination fleet deployment problem," Naval Research Logistics (NRL), John Wiley & Sons, vol. 36(4), pages 515-528, August.
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    Cited by:

    1. Iliopoulou, Christina & Kepaptsoglou, Konstantinos & Schinas, Orestis, 2018. "Energy supply security for the Aegean islands: A routing model with risk and environmental considerations," Energy Policy, Elsevier, vol. 113(C), pages 608-620.
    2. 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.
    3. Renee M. Clark & Mary E. Besterfield‐Sacre, 2009. "A New Approach to Hazardous Materials Transportation Risk Analysis: Decision Modeling to Identify Critical Variables," Risk Analysis, John Wiley & Sons, vol. 29(3), pages 344-354, March.
    4. Vedat Verter & Bahar Y. Kara, 2008. "A Path-Based Approach for Hazmat Transport Network Design," Management Science, INFORMS, vol. 54(1), pages 29-40, January.
    5. P. Chardaire & G. P. McKeown & S. A. Verity-Harrison & S. B. Richardson, 2005. "Solving a Time-Space Network Formulation for the Convoy Movement Problem," Operations Research, INFORMS, vol. 53(2), pages 219-230, April.
    6. Marielle Christiansen & Kjetil Fagerholt & David Ronen, 2004. "Ship Routing and Scheduling: Status and Perspectives," Transportation Science, INFORMS, vol. 38(1), pages 1-18, February.
    7. Mohammadi, Mehrdad & Jula, Payman & Tavakkoli-Moghaddam, Reza, 2017. "Design of a reliable multi-modal multi-commodity model for hazardous materials transportation under uncertainty," European Journal of Operational Research, Elsevier, vol. 257(3), pages 792-809.
    8. A L Tuson & S A Harrison, 2005. "Problem difficulty of real instances of convoy planning," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(7), pages 763-775, July.
    9. Atiq Siddiqui & Manish Verma, 2013. "An Expected Consequence Approach to Route Choice in the Maritime Transportation of Crude Oil," Risk Analysis, John Wiley & Sons, vol. 33(11), pages 2041-2055, November.
    10. Alan J. Maniamkot & P. N. Ram Kumar & Mohan Krishnamoorthy & Hamid Mokhtar & Sridharan Rajagopalan, 2022. "Hybridised ant colony optimisation for convoy movement problem," Annals of Operations Research, Springer, vol. 315(2), pages 847-866, August.
    11. Bahar Y. Kara & Vedat Verter, 2004. "Designing a Road Network for Hazardous Materials Transportation," Transportation Science, INFORMS, vol. 38(2), pages 188-196, May.
    12. Misagh Rahbari & Alireza Arshadi Khamseh & Yaser Sadati-Keneti & Mohammad Javad Jafari, 2022. "A risk-based green location-inventory-routing problem for hazardous materials: NSGA II, MOSA, and multi-objective black widow optimization," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 2804-2840, February.
    13. Mokhtar, Hamid & Krishnamoorthy, Mohan & Dayama, Niraj Ramesh & Kumar, P.N. Ram, 2020. "New approaches for solving the convoy movement problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    14. Jianping Li & Xiaolei Sun & Fei Wang & Dengsheng Wu, 2015. "Risk integration and optimization of oil-importing maritime system: a multi-objective programming approach," Annals of Operations Research, Springer, vol. 234(1), pages 57-76, November.

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