Multiobjective Optimization for Railway Maintenance Plans

Peralta, Daniel; Bergmeir, Christoph; Krone, Martin; Galende, Marta; Menéndez, Manuel; Sainz-Palmero, G.I.; Bertrand, Carlos Martínez; Klawonn, Frank; Benitez, Jose M.

doi:10.1061/(asce)cp.1943-5487.0000757

Cited by 25 publications

(14 citation statements)

References 36 publications

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“…In a recent study, a multi-objective optimisation approach (i.e., maintenance cost and train delays set as objective functions) is proposed to handle the track maintenance scheduling problem together with a developed track degradation model. This model considers also the deformations caused by the maintenance operations (Peralta et al 2018). A railway track inspection process includes a considerable volume of short-duration diagnosis tasks (e.g., visual inspections, vehicle-based inspections, and measurements by varying methods etc.)…”

Section: Diagnosis and Maintenance Issuesmentioning

confidence: 99%

Non-destructive Assessment and Health Monitoring of Railway Infrastructures

et al. 2019

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A continuous increase of the demand for high-speed traffic, freight tonnage as well as of the train operating frequency is worsening the decay conditions of many railway infrastructures. This occurrence affects economy-related business as well as it contributes to raise maintenance cost. It is known that a failure of a railway track may result in tremendous economic losses, law liabilities, service interruptions and, eventually, fatalities. Parallel to this, requirements to maintain acceptable operational standards are very demanding. In addition to the above, a main issue nowadays in railway engineering is a general lack of funds to allow safety and comfort of the operations as well as a proper maintenance of the infrastructures. This is mostly the result of a traditional approach that, on average, tends to invest on high-priority cost, such as safety-related cost, compromising lower-priority cost (e.g., quality and comfort of the operations). A solution to correct this trend can be to move from a reactive to a proactive action planning approach in order to limit more effectively the likelihood of progressive track decay. Within this context, this paper reports a review on the use of traditional and non-destructive testing (NDT) methods for assessment and health monitoring of railway infrastructures. State-of-the-art research on a stand-alone use of NDT methods or a combination of them for specific maintenance tasks in railways is discussed.

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Section: Diagnosis and Maintenance Issuesmentioning

confidence: 99%

Non-destructive Assessment and Health Monitoring of Railway Infrastructures

et al. 2019

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“…One branch concentrated on optimizing synchronized M&R actions on multiple track components, considering track degradation and operational aspects (Andrade and Teixeira, 2011;Caetano and Teixeira, 2013, 2016Dao et al, 2018). Track degradation was also considered by Lee et al (2018) and Peralta et al (2018), in tandem with track quality constraints, and safety and resource constraints. Gaudry et al (2016) pursued finding optimal M&R policies and recurrence periods.…”

Section: Literature Reviewmentioning

confidence: 99%

Multi-objective model for optimizing railway infrastructure asset renewal

Sousa

Alçada-Almeida

Coutinho-Rodrigues

2018

Engineering Optimization

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Multiobjective model for optimizing railway infrastructure asset renewal A multiobjective model for managing railway infrastructure asset renewal is presented. The model aims at optimizing three objectives, while respecting operational constraints: leveling investment throughout multiple years, minimizing total cost, minimizing work start postponements. Its output is an optimized intervention schedule. The model is based on a case-study from a Portuguese infrastructure management company, who specified the objectives and constraints, and reflects management practice on railway infrastructure. Results show that investment leveling greatly influences the other objectives and that total cost fluctuations may range from insignificant to important, depending on infrastructure condition. The results structure is argued to be general and suggests a practical methodology for analyzing trade-offs and selecting a solution for implementation.

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“…Pargar, Kauppila, and Kujala (2017) scheduled the preventive maintenance and renewal of a multi-component system by using a technique for grouping and balancing maintenance actions to minimize the maintenance and renewal costs. In addition, Peralta et al (2018) developed a model for optimizing the tamping and renewal activities in the short and long term with the aim of minimizing the maintenance cost and delay. These authors used the SDLL as the quality indicator and applied an exponential model to predict the future condition of the track.…”

Section: Introductionmentioning

confidence: 99%

“…It has been proven that the preventive tamping scheduling problem is a non-deterministic polynomial-time hard (NP-hard) problem (Peralta et al, 2018;Zhang, Andrews, & Wang, 2013). In practice, the global optimal solution cannot be computed in a feasible length of time.…”

Section: Introductionmentioning

confidence: 99%

Optimal opportunistic tamping scheduling for railway track geometry

Khajehei

Haddadzade

Ahmadi

et al. 2020

Structure and Infrastructure Engineering

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This study has been dedicated to the optimization of opportunistic tamping scheduling. The aim of this study has been to schedule tamping activities in such a way that the total maintenance costs and the number of unplanned tamping activities are minimized. To achieve this, the track geometry tamping scheduling problem was defined and formulated as a mixed integer linear programming (MILP) model and a genetic algorithm was used to solve the problem. Both the standard deviation of the longitudinal level and the extreme values of isolated defects were used to characterize the track geometry quality and to plan maintenance activities. The performance of the proposed model was tested on data collected from the Main Western Line in Sweden. The results show that different scenarios for controlling and managing isolated defects will result in optimal scheduling plan. It is also found that to achieve more realistic results, the speed of the tamping machine and the unused life of the track sections should be considered in the model. Moreover, the results show that prediction of geometry condition without considering the destructive effect of tamping will lead to an underestimation of the maintenance needs by 2%.

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Multiobjective Optimization for Railway Maintenance Plans

Cited by 25 publications

References 36 publications

Non-destructive Assessment and Health Monitoring of Railway Infrastructures

Non-destructive Assessment and Health Monitoring of Railway Infrastructures

Multi-objective model for optimizing railway infrastructure asset renewal

Optimal opportunistic tamping scheduling for railway track geometry

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