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Crew Planning for Commuter Rail Operations, a Case Study on Mumbai, India

In: Operations Research Proceedings 2019

Author

Listed:
  • Naman Kasliwal

    (Indian Institute of Technology Bombay)

  • Sudarshan Pulapadi

    (Indian Institute of Technology Bombay)

  • Madhu N. Belur

    (Indian Institute of Technology Bombay)

  • Narayan Rangaraj

    (Indian Institute of Technology Bombay)

  • Suhani Mishra

    (Western Railways)

  • Shamit Monga

    (Western Railways)

  • Abhishek Singh

    (Western Railways)

  • S. G. Sagar

    (Western Railways)

  • P. K. Majumdar

    (Western Railways)

  • M. K. Jagesh

    (Western Railways)

Abstract

We consider the problem of constructing crew duties for a large, real instance of operations for commuter train services in Mumbai, India. Optimized allotment of crew duties and enforcement of work rules ensures adequate safety and welfare of rail workers. Currently, within Indian railways, decisions related to crew allotment are made manually. The main objective is to use as few crew members as possible to execute upon the timetable. This improves the efficiency of the system by increasing the average working hours of work per duty. We also have several other secondary objectives. The presence of a large number of operational constraints makes the problem difficult to solve. Computational experiments are performed over the current train timetables and the results of our algorithm compare very favorably with the crew duty schedules in use. For the Western Railways train timetable of 2017–18, the crew duty sets required to perform the timetable was 382. The proposed algorithm achieves crew allotment with 368 sets, promising significant savings of manpower and money.

Suggested Citation

  • Naman Kasliwal & Sudarshan Pulapadi & Madhu N. Belur & Narayan Rangaraj & Suhani Mishra & Shamit Monga & Abhishek Singh & S. G. Sagar & P. K. Majumdar & M. K. Jagesh, 2020. "Crew Planning for Commuter Rail Operations, a Case Study on Mumbai, India," Operations Research Proceedings, in: Janis S. Neufeld & Udo Buscher & Rainer Lasch & Dominik Möst & Jörn Schönberger (ed.), Operations Research Proceedings 2019, pages 813-819, Springer.
    • Handle: RePEc:spr:oprchp:978-3-030-48439-2_99
    DOI: 10.1007/978-3-030-48439-2_99
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