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Integrated Planning for Multiple Types of Locomotive Work Facilities Under Location, Routing, and Inventory Considerations

Author

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  • Siyang Xie

    (Department of Civil and Environmental Engineering, University of Illinois at Urbana–Champaign, Urbana, Illinois 61801)

  • Xi Chen

    (Department of Civil and Environmental Engineering, University of Illinois at Urbana–Champaign, Urbana, Illinois 61801)

  • Zhaodong Wang

    (Department of Civil and Environmental Engineering, University of Illinois at Urbana–Champaign, Urbana, Illinois 61801)

  • Yanfeng Ouyang

    (Department of Civil and Environmental Engineering, University of Illinois at Urbana–Champaign, Urbana, Illinois 61801)

  • Kamalesh Somani

    (CSX Transportation Inc., Jacksonville, Florida 32202)

  • Jing Huang

    (CSX Transportation Inc., Jacksonville, Florida 32202)

Abstract

In North America, thousands of locomotives operating in the railroad network require various types of mechanical work every day. This work may be unscheduled, periodic, or on demand and could be conducted at either a fixed facility or a movable facility. Each facility is characterized by the type of work it can provide. The long-term infrastructure planning of these facilities is vital to the efficiency of the railroad. In this paper, we develop a large-scale mixed-integer mathematical model for infrastructure planning. The model integrates and optimizes decisions about (1) Locations, capabilities, and capacities of fixed facilities, (2) Home locations and routing plans of movable facilities, and (3) Assignments of locomotive work demands to facilities. We propose a decomposition-based heuristic solution framework consisting of several underlying algorithms to solve this large-scale optimization model. Computational results on numerous scenario studies using field data from the railroad industry show that the proposed model and algorithms are capable of providing solutions that are significantly superior to the current practice. The successful application of our methodology to real-world railroad planning has clearly demonstrated the substantial cost-saving benefits of our models on infrastructure planning solutions.

Suggested Citation

  • Siyang Xie & Xi Chen & Zhaodong Wang & Yanfeng Ouyang & Kamalesh Somani & Jing Huang, 2016. "Integrated Planning for Multiple Types of Locomotive Work Facilities Under Location, Routing, and Inventory Considerations," Interfaces, INFORMS, vol. 46(5), pages 391-408, October.
    • Handle: RePEc:inm:orinte:v:46:y:2016:i:5:p:391-408
    DOI: 10.1287/inte.2016.0857
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    References listed on IDEAS

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    Cited by:

    1. Tönissen, D.D. & Arts, J.J., 2020. "The stochastic maintenance location routing allocation problem for rolling stock," International Journal of Production Economics, Elsevier, vol. 230(C).
    2. Yılmaz, Seren Bilge & Yücel, Eda, 2021. "Optimizing onboard catering loading locations and plans for airlines," Omega, Elsevier, vol. 99(C).
    3. Ningxuan Kang & Hao Shen & Ye Xu, 2022. "JD.com Improves Delivery Networks by a Multiperiod Facility Location Model," Interfaces, INFORMS, vol. 52(2), pages 133-148, March.
    4. Zanyang Cui & Zhimei Wang & Junhua Chen & Xingchen Zhang & Chunxiao Zhao, 2023. "Integrated Planning for Depot Location and Line Planning Problems in the Intercity Railway Network with Passenger Demand Uncertainty," Sustainability, MDPI, vol. 15(20), pages 1-22, October.
    5. Tönissen, D.D. & Arts, J.J., 2018. "Economies of scale in recoverable robust maintenance location routing for rolling stock," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 360-377.

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