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A time-space scheduling model for optimizing recurring bulk railcar deliveries

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  • Lawley, Mark
  • Parmeshwaran, Vijay
  • Richard, Jean-Philippe
  • Turkcan, Ayten
  • Dalal, Malay
  • Ramcharan, David

Abstract

This work presents a time-space network flow model for scheduling recurring bulk rail deliveries from suppliers to customers. The objective is to maximize demand satisfied while minimizing waiting times for loading and unloading the bulk commodity. The model uses a variety of information including customer demand, rail network characteristics, loading and unloading hours, and track and station capacities. The planning horizon length and planning period can be varied to provide solutions for both long term planning and short term daily operations. The paper includes computational studies that examine the tradeoff between planning period length and schedule quality.

Suggested Citation

  • Lawley, Mark & Parmeshwaran, Vijay & Richard, Jean-Philippe & Turkcan, Ayten & Dalal, Malay & Ramcharan, David, 2008. "A time-space scheduling model for optimizing recurring bulk railcar deliveries," Transportation Research Part B: Methodological, Elsevier, vol. 42(5), pages 438-454, June.
    • Handle: RePEc:eee:transb:v:42:y:2008:i:5:p:438-454
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    Cited by:

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    2. Milenković, Miloš S. & Bojović, Nebojša J. & Švadlenka, Libor & Melichar, Vlastimil, 2015. "A stochastic model predictive control to heterogeneous rail freight car fleet sizing problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 82(C), pages 162-198.
    3. Mostafa Bababeik & Mohammad Mahdi Nasiri & Navid Khademi & Anthony Chen, 2019. "Vulnerability evaluation of freight railway networks using a heuristic routing and scheduling optimization model," Transportation, Springer, vol. 46(4), pages 1143-1170, August.
    4. Kirschstein, Thomas, 2018. "Rail transportation planning in the chemical industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 112(C), pages 142-160.
    5. I. Ece Içyüz & Jean-Philippe P. Richard & Erdem Eskigun & Dharma Acharya, 2016. "A Two-Model Solution Approach for the Monthly Coal Train Reservations Planning Problem," Transportation Science, INFORMS, vol. 50(3), pages 926-946, August.
    6. Danial Davarnia & Jean-Philippe P. Richard & Ece Içyüz-Ay & Bijan Taslimi, 2019. "Network Models with Unsplittable Node Flows with Application to Unit Train Scheduling," Operations Research, INFORMS, vol. 67(4), pages 1053-1068, July.
    7. Gedik, Ridvan & Medal, Hugh & Rainwater, Chase & Pohl, Ed A. & Mason, Scott J., 2014. "Vulnerability assessment and re-routing of freight trains under disruptions: A coal supply chain network application," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 45-57.
    8. Creemers, Stefan & Lambrecht, Marc R. & Beliën, Jeroen & Van den Broeke, Maud, 2021. "Evaluation of appointment scheduling rules: A multi-performance measurement approach," Omega, Elsevier, vol. 100(C).

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