Review on Scheduling Techniques of Preventive Maintenance Activities of Railway

Soh, Sarah Samson; Radzi, Nor Haizan Mohd; Haron, Habibollah

doi:10.1109/cimsim.2012.56

Cited by 22 publications

(12 citation statements)

References 15 publications

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“…[133], [134], [135] and [136]). Comprehensive lists of studies on maintenance scheduling problems in electricity industry can be found in an extensive review by Froger et al [137], while those on preventive maintenance scheduling issues for railways assets can be further explored in a survey by Soh et al [138]. Previous studies (e.g.…”

Section: Intervention Schedulingmentioning

confidence: 99%

A review of asset management literature on multi-asset systems

Petchrompo

Parlikad

2019

Reliability Engineering & System Safety

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This article gives an overview of the literature on asset management for multi-unit systems with an emphasis on two multi-asset categories: fleet (a system of homogeneous assets) and portfolio (a system of heterogeneous assets). As asset systems become more complicated, researchers have employed different terms to refer to their specific problems. With an objective to facilitate readers in searching conducive studies to their interests, this paper establishes a novel classification scheme for multi-unit systems in accordance with essential features such as diversity of assets and intervention options. Moreover, discerning differences in characteristics between cross-component and cross-asset interactions, we select three types of potential multi-component dependencies (performance, stochastic, and resource) and extend their notions to be applicable to multi-asset systems. The investigation into these dependencies enables the identification of problems that could exist in real industrial settings but are yet to be determined in academia. Ultimately, we delve into modelling approaches adopted by previous researchers. This comprehensive information allows us to offer the insights into the current trends in multi-asset maintenance. We expect that the output of this review paper will not only stress research gaps on multi-asset systems, but more importantly help systematise future studies on this aspect.

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Section: Intervention Schedulingmentioning

confidence: 99%

A review of asset management literature on multi-asset systems

Petchrompo

Parlikad

2019

Reliability Engineering & System Safety

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“…In addition, such optimization problems have been proven to be NP-hard problems, thus requiring too a long time to be solved. For this reason, many scheduling heuristic techniques have been used for managing preventive maintenance activities [5], mainly based on:…”

Section: Literarature Reviewmentioning

confidence: 99%

A modular model to schedule predictive railway maintenance operations

Consilvio

Febbraro

Sacco

2015

2015 International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)

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This paper presents a modular model for the optimal railway maintenance scheduling problem. In particular, an innovative approach to predictive railway maintenance scheduling is applied to track maintenance, also taking into account the risk assessment, according to the ISO 55000 guidelines, and the real-time track conditions. The novelty of this approach consists of the introduction of the concept of risk in railway maintenance scheduling, thus implying that the maintenance activity priorities are based on asset criticalities, such as track degradation conditions and repair costs, and the users' unmet demand due to traffic disturbances caused by asset faults. In the paper, after a general framework description, the relevant literature is analyzed. Then, the formal problem description is given, and some experimental results are discussed, together with some indications about the future model developments

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“…The scheduling of activities is crucial for achieving a wellfunctioning railway transportation system [3]. Maintenance activity is designed to prevent the unexpected breakdown of equipment, which may lead to reduced service quality and unexpected costs [4]. Rail transport in Malaysia involves heavy rail (including high-speed rail), monorail, and light rail transit (LRT) [5].…”

Section: Introductionmentioning

confidence: 99%

Monitoring Large-Scale Rail Transit Systems Based on an Analytic Hierarchy Process/Gradient-Based Cuckoo Search Algorithm (GBCS) Scheme

et al. 2020

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Condition monitoring is used as a tool for maintenance management and function as input to decision support. Thus the key parameters in preventing severe damage to railway assets can be determined by automatic real-time monitoring. The technique of radio-frequency identification (RFID) is increasingly applied for the automatic real-time monitoring and control of railway assets, which employs radio waves without the use of physical contact. In this work, a 243-km 2 area of Kuala Lumpur was selected. Because of its large size, determining the locations in which to install the RFID readers for monitoring the bogie components in the Kuala Lumpur railway system is a very complex task. The task involved three challenges: first, finding an optimal evolutionary method for railway network planning in order to deploy the RFID system in a large-area; second, identifying the large area that involved functional features; third, determining which station or stations should be given priority in applying the RFID system to achieve the most effective monitoring of the trains. The first challenge was solved by using a gradientbase cuckoo search algorithm for RFID system deployment. The second challenge was solved by determining all necessary information using geographic information system (GIS) resources. Because of the huge volume of data collected from GIS, it was found that the best method for eliminating data was to develop a new clustering model to separate the useful from the unuseful data and to identify the most suitable stations. Finally, the data set was reduced by developing a specific filter, and the information collected was tested by an analytic hierarchy process as a technique to determine the best stations for system monitoring and control. The results showed the success of the proposed method in solving the significant challenge of large-scale area conditions correlated with multi-objective RFID functions. The method provides high reliability in working with complex and dynamic data. Keywords Geographic information system (GIS) Á Analytic hierarchy process (AHP) Á Radio-frequency identification (RFID) Á Gradient-based cuckoo search algorithm (GBCS) Á Condition monitoring Á Bogie system Á Railway maintenance

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Review on Scheduling Techniques of Preventive Maintenance Activities of Railway

Cited by 22 publications

References 15 publications

A review of asset management literature on multi-asset systems

A review of asset management literature on multi-asset systems

A modular model to schedule predictive railway maintenance operations

Monitoring Large-Scale Rail Transit Systems Based on an Analytic Hierarchy Process/Gradient-Based Cuckoo Search Algorithm (GBCS) Scheme

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