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Heuristic Techniques for Scheduling Railway Track Maintenance

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Operations Research/Management Science at Work

Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 43))

Abstract

The maintenance of a rail network significantly contributes to the total cost of operating the network. Therefore substantial savings in railway expenditure can be achieved if track maintenance is conducted in the most cost-effective manner. Railways, however, operate under the conflicting objectives of minimising the infrastructure expenses while continuing to provide adequate service. This paper reports on the development of a model for the short-term scheduling of track maintenance activities, after the train schedule and maintenance activities have been planned. The model schedules the track maintenance activities, including assigning the maintenance crews to the activities, with the objective of minimising the total maintenance costs. This maintenance scheduling model has been solved using a two stage heuristic technique, with the first stage generating a feasible solution and the second stage implementing one of simulated annealing, local search or tabu search. The paper presents the results of applying the model to a problem that is indicative of the size experienced in the railway industry, with twenty track segments and a seven-day scheduling period. The three heuristic methods are then compared for the solution values obtained and the time frame required.

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Erhan Kozan Azuma Ohuchi

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© 2002 Springer Science+Business Media New York

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Lake, M., Ferreira, L., Kozan, E. (2002). Heuristic Techniques for Scheduling Railway Track Maintenance. In: Kozan, E., Ohuchi, A. (eds) Operations Research/Management Science at Work. International Series in Operations Research & Management Science, vol 43. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0819-9_11

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  • DOI: https://doi.org/10.1007/978-1-4615-0819-9_11

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-5254-9

  • Online ISBN: 978-1-4615-0819-9

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