Optimal maintenance planning for repairable multi-component systems subject to dependent competing risks

Zhang, Nailong; Yang, Qingyu

doi:10.1080/0740817x.2014.974115

Cited by 33 publications

(13 citation statements)

References 31 publications

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“…Many authors have considered clustering of maintenance on components that each use a periodic maintenance policy. Older examples are Wildeman et al (1997) and Van Dijkhuizen and Van Harten (1997), while a newer examples include Levi et al (2014), Zhang and Yang (2015) and Barron (2015). Only few articles consider clustering of maintenance on components that each use a condition- To the best of our knowledge, the only work in which the maintenance program is optimized for a complete system that consists of components with different maintenance policies, is the PhD thesis of Zhu (2015).…”

Section: Literaturementioning

confidence: 99%

Design of multi-component periodic maintenance programs with single-component models

Arts

Basten

2018

IISE Transactions

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Capital assets, such as wind turbines and ships, require maintenance throughout their long life times. Assets usually need to go down to perform maintenance and such downs can be either scheduled or unscheduled. Since different components in an asset have different maintenance policies, it is key to have a maintenance program in place that coordinates the maintenance policies of all components, so as to minimize costs associated with maintenance and downtime. Single component maintenance policies have been developed for decades, but such policies do not usually allow coordination between different components within an asset. We study a periodic maintenance policy and a condition based maintenance policy in which the scheduled downs can be coordinated between components. In both policies, we assume that at unscheduled downs, a minimal repair is performed to keep unscheduled downtime as short as possible. Both policies can be evaluated exactly using renewal theory, and we show how these policies can be used as building blocks to design and optimize maintenance programs for multi-component assets.

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Section: Literaturementioning

confidence: 99%

Design of multi-component periodic maintenance programs with single-component models

Arts

Basten

2018

IISE Transactions

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“…In the maintenance optimization research field, increasing interest has been focused on the dependence existing in multi‐unit systems during the past few decades (see Cho et al, Dekker et al, and Nicolai et al). Zhang et al also noted that “Ignoring the failure dependence of multi‐components can result in biased predictions of system reliability and non‐optimality of the maintenance policy”. Generally, the dependence can be classified into 3 types: economic, structural, and stochastic (see Thomas).…”

Section: Criteria For Selective Maintenance Decision‐makingmentioning

confidence: 99%

A literature review on selective maintenance for multi‐unit systems

Cao

Jia

et al. 2018

Quality & Reliability Eng

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Selective maintenance is regarded as a type of profit-generating maintenance policy, playing an important role in balancing limited maintenance resources with system performance. Since 1988, increasing interest has been focused on this research area. Nevertheless, to the best of our knowledge, there is a lack of critical reviews of selective maintenance. This paper is the first systematic review focusing on this relevant topic. In this work, a definition and some specific features of selective maintenance are elaborated. Based on these features, a set of criteria that have been considered in selective maintenance optimization are summarized into 3 categories: system characteristics, maintenance characteristics, and mission profile characteristics. Based on these criteria, a comprehensive literature review on selective maintenance is undertaken. The solution approaches, as well as a general procedure for selective maintenance optimization, are discussed. Finally, some possible directions for further research are provided.

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“…To formulate the expected cost rate requires reliability indexes such as the cumulative failure function and the renewal indexes, and cost information such as cost of failure and cost of maintenance (see 2 Moghaddass et al (2015); Zhang & Yang (2015), for example).…”

Section: Prior Workmentioning

confidence: 99%

Optimization of maintenance policy under parameter uncertainty using portfolio theory

Coolen

Liu

2017

IISE Transactions

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Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-pro t purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. AbstractIn reliability mathematics, optimisation of maintenance policy is derived based on reliability indexes such as the reliability or its derivatives (e.g., the cumulative failure intensity or the renewal function) and the associated cost information. The reliability indexes, also referred to as models in this paper, are normally estimated based on either failure data collected from the field or lab data. The uncertainty associated with them is sensitive to factors such as the sparsity of data. For a company that maintains a number of different systems, developing maintenance policies for each individual system separately and then allocating maintenance budget may not lead to optimal management of the model uncertainty and may lead to costineffective decisions. To overcome this limitation, this paper uses the concept of risk aggregation. It integrates the uncertainty of model parameters in optimisation of maintenance policies and then collectively optimises maintenance policies for a set of different systems, using methods from portfolio theory. Numerical examples are given to illustrate the application of the proposed methods.

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Optimal maintenance planning for repairable multi-component systems subject to dependent competing risks

Cited by 33 publications

References 31 publications

Design of multi-component periodic maintenance programs with single-component models

Design of multi-component periodic maintenance programs with single-component models

A literature review on selective maintenance for multi‐unit systems

Optimization of maintenance policy under parameter uncertainty using portfolio theory

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