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An integrated location and routing approach for transporting hazardous materials in a bi-modal transportation network

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  • Ghaderi, Abdolsalam
  • Burdett, Robert L.

Abstract

This article considers how best to strategically transport and route hazardous materials through a bi-modal transportation network (MMTS) consisting of road and rail links. The placement of transfer yards is also considered as well as the possibility of disruptions at those facilities. For this decision problem a two-stage stochastic programming model is formulated. The objective of the model is to minimize transportation costs and risk. As the model is intractable to solve using traditional techniques, three algorithms are proposed, namely Maximum Likelihood Sampling (MLS), Sample Average Approximation (SAA), and a combination of these two algorithms (MLSAA). Those optimization approaches have been applied to various instances to demonstrate their viability and effectiveness. Numerical testing shows that the MLSAA algorithm is superior and can solve large-scale instances.

Suggested Citation

  • Ghaderi, Abdolsalam & Burdett, Robert L., 2019. "An integrated location and routing approach for transporting hazardous materials in a bi-modal transportation network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 49-65.
    • Handle: RePEc:eee:transe:v:127:y:2019:i:c:p:49-65
    DOI: 10.1016/j.tre.2019.04.011
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    as
    1. Aydin, Nezir & Murat, Alper, 2013. "A swarm intelligence based sample average approximation algorithm for the capacitated reliable facility location problem," International Journal of Production Economics, Elsevier, vol. 145(1), pages 173-183.
    2. Schütz, Peter & Tomasgard, Asgeir & Ahmed, Shabbir, 2009. "Supply chain design under uncertainty using sample average approximation and dual decomposition," European Journal of Operational Research, Elsevier, vol. 199(2), pages 409-419, December.
    3. Giannikos, Ioannis, 1998. "A multiobjective programming model for locating treatment sites and routing hazardous wastes," European Journal of Operational Research, Elsevier, vol. 104(2), pages 333-342, January.
    4. An, Yu & Zhang, Yu & Zeng, Bo, 2015. "The reliable hub-and-spoke design problem: Models and algorithms," Transportation Research Part B: Methodological, Elsevier, vol. 77(C), pages 103-122.
    5. Charles ReVelle & Jared Cohon & Donald Shobrys, 1991. "Simultaneous Siting and Routing in the Disposal of Hazardous Wastes," Transportation Science, INFORMS, vol. 25(2), pages 138-145, May.
    6. Zuo-Jun Max Shen & Roger Lezhou Zhan & Jiawei Zhang, 2011. "The Reliable Facility Location Problem: Formulations, Heuristics, and Approximation Algorithms," INFORMS Journal on Computing, INFORMS, vol. 23(3), pages 470-482, August.
    7. Shishebori, Davood & Yousefi Babadi, Abolghasem, 2015. "Robust and reliable medical services network design under uncertain environment and system disruptions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 77(C), pages 268-288.
    8. Bevrani, Bayan & Burdett, Robert L. & Bhaskar, Ashish & Yarlagadda, Prasad K.D.V., 2017. "A capacity assessment approach for multi-modal transportation systems," European Journal of Operational Research, Elsevier, vol. 263(3), pages 864-878.
    9. Davood Shishebori & Lawrence Snyder & Mohammad Jabalameli, 2014. "A Reliable Budget-Constrained FL/ND Problem with Unreliable Facilities," Networks and Spatial Economics, Springer, vol. 14(3), pages 549-580, December.
    10. George List & Pitu Mirchandani, 1991. "An Integrated Network/Planar Multiobjective Model for Routing and Siting for Hazardous Materials and Wastes," Transportation Science, INFORMS, vol. 25(2), pages 146-156, May.
    11. Zhang, Ying & Qi, Mingyao & Lin, Wei-Hua & Miao, Lixin, 2015. "A metaheuristic approach to the reliable location routing problem under disruptions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 83(C), pages 90-110.
    12. 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.
    13. Lawrence V. Snyder & Zümbül Atan & Peng Peng & Ying Rong & Amanda J. Schmitt & Burcu Sinsoysal, 2016. "OR/MS models for supply chain disruptions: a review," IISE Transactions, Taylor & Francis Journals, vol. 48(2), pages 89-109, February.
    14. 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.
    15. Lawrence V. Snyder & Mark S. Daskin, 2005. "Reliability Models for Facility Location: The Expected Failure Cost Case," Transportation Science, INFORMS, vol. 39(3), pages 400-416, August.
    16. Curtis L. Stowers & Udatta S. Palekar, 1993. "Location Models with Routing Considerations for a Single Obnoxious Facility," Transportation Science, INFORMS, vol. 27(4), pages 350-362, November.
    Full references (including those not matched with items on IDEAS)

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    13. Zhang, Lukai & Feng, Xuesong & Chen, Dalin & Zhu, Nan & Liu, Yi, 2019. "Designing a hazardous materials transportation network by a bi-level programming based on toll policies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
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    16. Sheng Dong & Jibiao Zhou & Changxi Ma, 2020. "Design of a Network Optimization Platform for the Multivehicle Transportation of Hazardous Materials," IJERPH, MDPI, vol. 17(3), pages 1-14, February.
    17. Yan Sun & Xinya Li, 2019. "Fuzzy Programming Approaches for Modeling a Customer-Centred Freight Routing Problem in the Road-Rail Intermodal Hub-and-Spoke Network with Fuzzy Soft Time Windows and Multiple Sources of Time Uncerta," Mathematics, MDPI, vol. 7(8), pages 1-40, August.
    18. Wu, Weitiao & Ma, Jian & Liu, Ronghui & Jin, Wenzhou, 2022. "Multi-class hazmat distribution network design with inventory and superimposed risks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
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    22. Shuxia Li & Yuedan Zu & Huimin Fang & Liping Liu & Tijun Fan, 2021. "Design Optimization of a HAZMAT Multimodal Hub-and-Spoke Network with Detour," IJERPH, MDPI, vol. 18(23), pages 1-18, November.

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