Preventive maintenance scheduling of multi-component systems with interval costs

Gustavsson, Emil; Patriksson, Michael; Strömberg, Ann-Brith; Wojciechowski, Adam; Önnheim, Magnus

doi:10.1016/j.cie.2014.02.009

Cited by 79 publications

(46 citation statements)

References 20 publications

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“…Durango-Cohen and Madanat (2008) regarding general networks and application to road pavement maintenance. In the railway field, specific subsystem components / maintenance actions have been studied, like ballast / tamping (Zhao et al (2006); Lyngby et al (2008)), rail / grinding (Lyngby et al (2008); Liu et al (2014); Gustavsson et al (2014)) and electrical power feeding / replacement (Chen et al (2013(Chen et al ( , 2014). In all these works, policies for inspection, maintenance and renewals are developed with no concern about how the detailed scheduling and interaction with operations should be resolved.…”

Section: Literature Reviewmentioning

confidence: 99%

Dimensioning windows for railway infrastructure maintenance: Cost efficiency versus traffic impact

Lidén

Joborn

2016

Journal of Rail Transport Planning & Management

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The Swedish Transport Administration is introducing a new regime, called maintenance windows, for allocating train free slots reserved for maintenance tasks on the railway infrastructure. In this paper, a model for the assessment and the dimensioning of such maintenance windows is presented, which considers marginal effects on both the maintenance cost and the expected train traffic demand. The aim is to establish quantitative measures that can be used for comparing conflicting capacity requests from infrastructure maintenance and traffic operations on railway networks. The model is demonstrated in a cost benefit analysis for a real life case study on the Swedish Northern Main Line.

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Section: Literature Reviewmentioning

confidence: 99%

Dimensioning windows for railway infrastructure maintenance: Cost efficiency versus traffic impact

Lidén

Joborn

2016

Journal of Rail Transport Planning & Management

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“…There are models (Briš & Byczanski, 2013;Gustavsson, Patriksson, Strömberg, Wojciechowski, & Önnheim, 2014) based on dependencies between the components in a complex system; these dependencies lead to further problems to understand the behaviour of the system (Briš, Byczanski, Goňo, & Rusek, 2017). The dependence-based models have assumed that all components in the system belong to a certain group according to an a-priori classification based on a deterministic criterion e.g.…”

Section: Introductionmentioning

confidence: 99%

Maintenance policy optimisation for multi-component systems considering degradation of components and imperfect maintenance actions

Martinod

Bistorin²,

Castañeda

et al. 2018

Computers & Industrial Engineering

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This article proposes a stochastic optimisation model in order to reduce the long-term total maintenance cost of complex systems. The proposed work is based on the following approaches: (i) optimisation of a cost model for complex multi-component systems consisting of preventive and corrective maintenance using reliability analysis, which faces two different maintenance policies (periodic block-type and age-based) and (ii) a clustering method for maintenance actions to decrease the total maintenance cost of the complex system. This work evaluates each maintenance policy and measures the effects on imperfect maintenance actions. Finally, the proposed optimisation model is applied to a numerical example which focuses on passenger urban aerial ropeway transport systems, in which the current maintenance policy has been evaluated, considering the established by the international regulation of passenger aerial cable cars.

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“…At the aircraft subsystem and multicomponent subsystem level (a Low Pressure Turbine-LPT of an aircraft jet engine for example), there is an increasing interest on maintenance optimization that would address preventive maintenance scheduling under various constraints [8], minimize the maintenance cost and the unexpected maintenance stop occasions [9], or would minimize the operational costs [10].…”

Section: Introductionmentioning

confidence: 99%

Use of Cost-Adjusted Importance Measures for Aircraft System Maintenance Optimization

Bozoudis¹,

Lappas

Kottas³

2018

Aerospace

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The development of an aircraft maintenance planning optimization tool and its application to an aircraft component is presented. Various reliability concepts and approaches have been analyzed, together with objective criteria which can be used to optimize the maintenance planning of an aircraft system, subsystem or component. Wolfram ® Mathematica v10.3 9 (Witney, UK) has been used to develop the novel optimization tool, the application of which is expected to yield significant benefits in selecting the most appropriate maintenance intervention based on objective criteria, in estimating the probability of nonscheduled maintenance and in estimating the required number of spare components for both scheduled and nonscheduled maintenance. As such, the results of the application of the tool can be used to assist the risk planning process for future system malfunctions, providing safe projections to facilitate the supply chain of the end user of the system, resulting in higher aircraft fleet operational availability.

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Preventive maintenance scheduling of multi-component systems with interval costs

Cited by 79 publications

References 20 publications

Dimensioning windows for railway infrastructure maintenance: Cost efficiency versus traffic impact

Dimensioning windows for railway infrastructure maintenance: Cost efficiency versus traffic impact

Maintenance policy optimisation for multi-component systems considering degradation of components and imperfect maintenance actions

Use of Cost-Adjusted Importance Measures for Aircraft System Maintenance Optimization

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