Railway Condition-Based Maintenance Model With Stochastic Deterioration

Vale, Catarina; Ribeiro, Isabel M.

doi:10.3846/13923730.2013.802711

Cited by 38 publications

(20 citation statements)

References 19 publications

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“…The deterioration aspects make these scheduling problems non-cyclic. The majority of papers focus on tamping, such as Vale et al (2012), Vale and Ribeiro (2014), Gustavsson (2014), Wen et al (2016), but the coordination with train traffic is seldom included. One exception is Su et al (2017) who study grinding of tracks to handle rail cracks and squats.…”

Section: Maintenance Schedulingmentioning

confidence: 99%

Coordinating maintenance windows and train traffic: a case study

Lidén

2020

Public Transp

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This paper concerns a case study for optimal planning and coordination of railway maintenance windows and train traffic. The purpose is to validate a previously presented optimization model on a demanding real-life problem instance and to obtain results that apply in similar planning situations. A mixed integer linear programming model is used for a 913 km long, single-track railway line through the northern part of Sweden, with traffic consisting of 82 trains per day, most of which are freight trains. Cyclic 1-day schedules are produced, which show that 2 h long maintenance windows can be scheduled with small adjustments of the train traffic. The sensitivity for cost changes is studied, which shows that the train costs must increase by more than 30% in order to change the structure of the window solutions. Resource efficient window schedules are obtained by assigning maintenance teams to all windows while respecting crew work and rest time restrictions. A comparison with manually constructed plans from the Swedish Transport Administration indicates that larger window volumes can be scheduled at a lower cost and with solution structures which are deemed reasonable and useful as guidance for constructing the real window patterns. Finally, we estimate that using an integrated planning approach (where maintenance and trains are jointly planned) instead of a sequential approach (where a train timetable has precedence over the maintenance windows), will give maintenance cost savings of 11-17%, without incurring any large cost increases for the train traffic. The paper also presents a method for achieving cyclic schedules without any period-deciding variables, and discusses the consequences of the aggregated capacity usage model that has been adopted.

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Section: Maintenance Schedulingmentioning

confidence: 99%

Coordinating maintenance windows and train traffic: a case study

Lidén

2020

Public Transp

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“…CPLEX is a commercial software, but available for researchers to use, and it has been successfully applied to solve several similar linear programming models in the railway maintenance context (Budai et al 2006;Vale et al 2012;Vale and Ribeiro 2014;Vansteenwegen et al 2016). i.e.…”

Section: Possession Cost and Available Possession Timementioning

confidence: 99%

Maintenance Scheduling for Railway Tracks under Limited Possession Time

Dao

Basten

Hartmann

2018

J. Transp. Eng., Part A: Systems

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Maintenance planning for busy railway systems is challenging since there is growing pressure on increasing operation time, which reduces the infrastructure-accessible time for maintenance. This paper proposes an optimization model that is aimed at finding the best maintenance schedule for multiple components in a railway track to minimize the total cost in the planning horizon. One distinct and practical feature of the model is that the track accessible time for maintenance is limited. We formulate all relevant costs in the component's life-cycle, including maintenance cost, fixed track-closure (possession) cost, social-economic cost related to the effects of maintenance time on the train operation, and service-life shortening cost due to the shifting of activities. Generally, it is beneficial to cluster and maintain several components in a single possession as this helps reduce the cost by occupying the track only once. However, the decision must depend on the available possession time. A sensitivity analysis is performed to highlight the effects of available possession time on the number of required possessions as well as the total cost incurred.

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“…The impact of weather conditions on railway turnout systems in the literature is a new and quite diverse topic followed by quite limited number of scholars within two categories: Conditional-Based Maintenance (CBM), which only suggests a prognostic attitude towards maintenance (Kaewunruen and Remennikov, 2005;Vale and Ribeiro, 2014), and Risk-Based Maintenance (RBM), which suggests an alter-native or complementary strategy to minimise the risk resulting from any kind of failures and accidents or errors in breakdown of manage-ment (Ishak et al, 2016;Sa'adin et al, 2016). The advances in the former starts with a simple state-based prognostic method simply aiming at predicting railway turnout failures (Eker et al, 2011).…”

Section: Introductionmentioning

confidence: 99%