Conference article

Train-set Assignment Optimization with Predictive Maintenance

Meng-Ju Wu
Department of Civil Engineering, National Taiwan University, Civil Engineering Building, Taipei, Taiwan

Yung-Cheng Lai
Department of Civil Engineering, National Taiwan University, Civil Engineering Building, Taipei, Taiwan

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Published in: RailNorrköping 2019. 8th International Conference on Railway Operations Modelling and Analysis (ICROMA), Norrköping, Sweden, June 17th – 20th, 2019

Linköping Electronic Conference Proceedings 69:74, p. 1131-1139

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Published: 2019-09-13

ISBN: 978-91-7929-992-7

ISSN: 1650-3686 (print), 1650-3740 (online)

Abstract

The efficiency of rolling stock utilization is an important objective pursued in practice. Rolling stock assignment plan including the assignment of utilization paths and maintenance tasks. Previous studies have adopted the fixed periodic maintenance (PM) strategy; however, the difference in the reliability of rolling stock is not considered. Maintenance planners have to manually adjust utilization and maintenance tasks on the basis of experience. Consequently, this study proposes an optimization process for assigning rolling stock to utilization paths and maintenance tasks in accordance with the predictive maintenance strategy (PdM) with trainset-specific reliability models. Results of the empirical study demonstrate that the developed process with PdM can assign utilization paths and schedule maintenance tasks to each trainset efficiently and reduce the total cost by over 14% compared with the PM-only strategy. Adopting this process can help planners improve the efficiency and reliability of rolling stock utilization.

Keywords

Train-set assignment, maintenance scheduling, and predictive maintenance

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