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Real-time freight locomotive rescheduling and uncovered train detection during disruption

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  • Sato, Keisuke
  • Fukumura, Naoto

Abstract

This paper discusses rescheduling of freight train locomotives when dealing with a disrupted situation in the daily operations in Japan. Within the current framework of dispatching processes, passenger railway operators modify the entire timetables and an adjusted freight train timetable is distributed to a freight train operator. For this timetable, we solve the locomotive rescheduling problem by changing the assignment of the locomotives to all the trains and considering their periodic inspections. We then solve the uncovered train detection problem that selects unassigned trains according to their value if the rescheduling phase fails.

Suggested Citation

  • Sato, Keisuke & Fukumura, Naoto, 2012. "Real-time freight locomotive rescheduling and uncovered train detection during disruption," European Journal of Operational Research, Elsevier, vol. 221(3), pages 636-648.
    • Handle: RePEc:eee:ejores:v:221:y:2012:i:3:p:636-648
    DOI: 10.1016/j.ejor.2012.04.025
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    10. Prashant Premkumar & P. N. Ram Kumar, 2019. "Literature Review of Locomotive Assignment Problem from Service Operations Perspective: The Case of Indian Railways," IIM Kozhikode Society & Management Review, , vol. 8(1), pages 74-86, January.
    11. Joris C. Wagenaar & Leo G. Kroon & Marie Schmidt, 2017. "Maintenance Appointments in Railway Rolling Stock Rescheduling," Transportation Science, INFORMS, vol. 51(4), pages 1138-1160, November.
    12. Wagenaar, J.C. & Kroon, L.G. & Schmidt, M.E., 2016. "Maintenance Appointments in Railway Rolling Stock Rescheduling," ERIM Report Series Research in Management ERS-2016-001-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    13. Breugem, T. & Dollevoet, T.A.B. & Huisman, D., 2019. "A Column Generation Approach for the Integrated Crew Re-Planning Problem," Econometric Institute Research Papers EI2019-31, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

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