A review of the use of multicriteria and multi-objective models in maintenance and reliability

Almeida, Adiel Teixeira de; Ferreira, Rodrigo José Pires; Cavalcante, Cristiano Alexandre Virgínio

doi:10.1093/imaman/dpv010

Cited by 90 publications

(55 citation statements)

References 207 publications

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“…The use of multi-criteria methods to make decisions on maintenance has been growing exponentially, as shown in a previous study [16]. Therefore, multi-criteria methods constitute an area of interest to the theoretical and practical realms, and this article aims to address this currently poorly explored problem with a joint model of burn-in and replacement based on a multi-criteria approach.…”

Section: The Present Contributionmentioning

confidence: 96%

“…Utility theory describes the preference attributes on a scale of 0 (undesirable) to 1 (desirable), transforming the attribute measures to a utility scale in order to allow different attributes that can be compared with a common measurement scale [16].…”

Section: Proposed Decision Making Modeling For Burn-in and Replacementmentioning

confidence: 99%

“…Manufacturers also do not tolerate this poor performance because discontented consumers harm the company's image, as noted by Tangaraj and Rizwam [16] and Wu and Clements-Croome [35].…”

Section: Combined Burn-in and Replacement Procedures Modelling Literaturementioning

confidence: 99%

“…Measuring the effect of combination based on only one aspect does not reflect the actual impact of the combined policy [25]. Thus, the use of a multi-criteria approach to build combined policies becomes very prominent.The use of multi-criteria methods to make decisions on maintenance has been growing exponentially, as shown in a previous study [16]. Therefore, multi-criteria methods constitute an area of interest to the theoretical and practical realms, and this article aims to address this currently poorly explored problem with a joint model of burn-in and replacement based on a multi-criteria approach.…”

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confidence: 96%

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Multi-attribute Utility Theory analysis for burn-in processes combined with replacement

Cavalcante¹,

Nascimento²,

Lopes³

2016

EiN

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Article citation info:1. Introduction The contextThe search for highly reliable systems has been intensifying. Such systems can be identified by implementing practices that reduce losses due to failures. Thus, maintenance plays a key role in organizations because it can significantly contribute to reducing both costs and failures, irrespective of the timing of failures during the useful life of the component. Preventive maintenance takes effect when the use of a particular policy enables the reduction of potential failures. Because these policies widely influence the safety and economy of operations, they are very important to improve the performance and reduce the cost of any producing systems.Burn-in procedures consist of testing a new component for a given period before its active life in order to prevent early failures.Burn-in has been studied by several researchers, including Kuo and Kuo [24], who presented a review of the main aspects of the procedure. Furthermore, Block and Savits [2] provided optimization examples and criteria. Regarding the adopted criteria, Block et al.[3] balanced residual life and variation (conditional survival) in the criterion of burn-in via the residual coefficient of variation, whereas Baskin [1] analysed burn-in using the general law of reliability. Perlstein et al.[29] analysed the cost of the optimal duration of burn-in, the components of which were characterized by hybrid exponential distributions using Bayesian theory. Restrictions can be added, as demonstrated by Chi and Kuo [13], who proposed a model to minimise costs under two restrictions, reliability and capacity.The use of a combined policy is sometimes more effective than the use of a pure policy [13]. An example of combined policy is presented by Golmakani and Fattahipour [19], who aimed to determine the best period for inspection and replacement in the condition-based maintenance. However, research studies involving combined policies of burn-in with replacement are rare, and the ones that stand out are those by Jiang and Jardine [21], Canfield [5], Thangaraj and Rizwam [32], Drapella and Koznik [15].A heterogeneous population of components that are present early and later fail related to exclusives failure models demands that the policy is adaptable. Therefore, a pure policy or the use of only one procedure is not effective. The present contributionDecisions regarding the burn-in and maintenance decisions are of great interest to researchers and decision-makers, and finding alternatives that improve the performance of managed systems is a challenge.CAvAlCAnte CAv, do nAsCimento tG, lopes Rs. multi-attribute Utility theory analysis for burn-in processes combined with replacement. eksploatacja i niezawodnosc -maintenance and Reliability 2016; 18 (4): 599-605, http://dx.doi.org/10.17531/ein.2016.4.15 The vast majority of research studies addresses the problem of burn-in with a single objective function. Although the adoption of combined policies represents an advance, combined procedures sometimes do not provide imp...

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Section: The Present Contributionmentioning

confidence: 96%

Section: Proposed Decision Making Modeling For Burn-in and Replacementmentioning

confidence: 99%

“…Manufacturers also do not tolerate this poor performance because discontented consumers harm the company's image, as noted by Tangaraj and Rizwam [16] and Wu and Clements-Croome [35].…”

Section: Combined Burn-in and Replacement Procedures Modelling Literaturementioning

confidence: 99%

mentioning

confidence: 96%

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Multi-attribute Utility Theory analysis for burn-in processes combined with replacement

Cavalcante¹,

Nascimento²,

Lopes³

2016

EiN

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“…When adopting a Multi-Criteria Decision-Making (MCDM) approach, the preferred policy structure of the decision maker is adopted to transform the multiple objectives into a single optimization function. Approaches of this class, as summarized in Adiel Teixeira de Almeida et al (2015), include single criterion-synthesis methods such as the Multi-attribute Utility Theory and the Multi-attribute Value Theory (Keeney & Raiffa, 1976), outranking methods such as Elimination and Choice Expressing Reality (ELECTRE) described in Figueira et al (2005) and the Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE) overviewed by Brans & Mareschal (2005), as well as further alternatives. As another option, multi-objective optimization may be employed to tackle multiple objectives, delivering a set of compromising decision options along the so-called Pareto front.…”

Section: Introductionmentioning

confidence: 99%

Observation-based Decision-making for Infrastructure

Chatzi¹,

Παπακωνσταντίνου²,

Hajdin³

et al. 2017

Proceedings of the Joint COST TU1402 - COST TU1406 - IABSE WC1 Workshop: The Value of Structural Health Monitoring for the Reli

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Abstract. The aim of this review paper is to summarize available options for decision-support toward the optimal management of infrastructure systems under consideration of uncertainties. Thereafter, we elaborate on a particular variant, namely Partially Observable Markov Decision Processes (POMDP), as a flexible framework for the incorporation of information from observations (visual inspections, non-destructive testing and monitoring) in the context of optimal inspection and maintenance planning. Examples from the literature are presented, demonstrating the potential of planning under uncertainty and the links to the Value of Information (VoI) from Structural Health Monitoring (SHM).

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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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A review of the use of multicriteria and multi-objective models in maintenance and reliability

Cited by 90 publications

References 207 publications

Multi-attribute Utility Theory analysis for burn-in processes combined with replacement

Multi-attribute Utility Theory analysis for burn-in processes combined with replacement

Observation-based Decision-making for Infrastructure

A literature review on selective maintenance for multi‐unit systems

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