A Fuzzy Approach for a Multiobjective Selective Maintenance Problem

Haseen, Sanam; Gupta, Neha; Bari, Abdul

doi:10.21307/ijor-2015-009

Cited by 6 publications

(8 citation statements)

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“…Time and cost are the most frequently considered maintenance resources in selective maintenance modeling. In reported works on selective maintenance optimization, the resource consumption of a specific maintenance action is assumed to be negligible, constant, or uncertain (see Haseen et al and Ali et al). However, in some cases, neglecting resource consumption will make system maintenance modeling unrealistic and impossible (see Wang).…”

Section: Criteria For Selective Maintenance Decision‐makingmentioning

confidence: 99%

“…A probability analysis was carried out to obtain the component's state distribution based on the uncertain diagnostic results. Haseen et al discussed a selective maintenance problem in which the reliability for each component was not a precise value due to an imprecision or variability in the data. Triangular fuzzy numbers were adopted to represent these uncertain parameters.…”

Section: A Review Of Selective Maintenance Modelingmentioning

confidence: 99%

“…Two interval programming models were proposed to tackle this kind of selective maintenance problem. Haseen et al addressed a selective maintenance problem in which the repair time and cost of each component were fuzzy numbers due to uncertain conditions, but the replacement time and cost were assumed to be fixed values. Remarks. The latest research advances in the maintenance characteristics of selective maintenance optimization are reviewed in this section, and some typical literature related to this category is shown in Table .…”

Section: A Review Of Selective Maintenance Modelingmentioning

confidence: 99%

“…Although more than 40 mathematical imperfect maintenance models have been proposed so far (see Pham et al), the models most frequently used in selective maintenance optimization are the age‐reduction model (see Maaroufi et al, Liu et al, Chen et al, Pandey et al) and the hybrid imperfect model integrating age reduction with hazard adjustment (see Zhu et al, Pandey et al). Additionally, there has been a growing trend towards uncertain maintenance characteristic modeling in recent years, such as the random maintenance quality (see Khatab et al) and random and fuzzy resource consumption (see Hassen et al, Ali et al, Gupta et al), among others.…”

Section: A Review Of Selective Maintenance Modelingmentioning

confidence: 99%

“…In the second model, 3 objectives, including maintenance time, cost, and the volume of the system, were minimized simultaneously. Haseen et al proposed a fuzzy multi‐objective selective maintenance optimization model subject to fuzzy constraints for a series‐parallel system. The objective was to maximize the fuzzy reliability of each subsystem.…”

Section: A Review Of Selective Maintenance Modelingmentioning

confidence: 99%

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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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Section: Criteria For Selective Maintenance Decision‐makingmentioning

confidence: 99%

Section: A Review Of Selective Maintenance Modelingmentioning

confidence: 99%

Section: A Review Of Selective Maintenance Modelingmentioning

confidence: 99%

Section: A Review Of Selective Maintenance Modelingmentioning

confidence: 99%

Section: A Review Of Selective Maintenance Modelingmentioning

confidence: 99%

See 3 more Smart Citations

A literature review on selective maintenance for multi‐unit systems

Cao

Jia

et al. 2018

Quality & Reliability Eng

View full text Add to dashboard Cite

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Optimizing system reliability through selective maintenance allocation: A novel multi‐objective programming approach using neutrosophic fuzzy concept

Kamal

Gupta

Jalil

et al. 2023

Quality & Reliability Eng

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Selective maintenance refers to the problem of decision‐making on how to maintain a multi‐component complex system that can be repaired or replaced. The goal is generally to plan ahead in order to improve the likelihood of success for future maintenance tasks. In this article, we proposed a multi‐objective decision‐making model for maximizing the system reliability of a multi‐component systems. The objective functions represent the reliability of the sub‐systems arranged in series comprising of components arranged in parallel forms. The cost and total time incurred in the repair/replacement activities are considered as two sets of constraints in the proposed model. Fuzzy logic is incorporated to deal with the inherent uncertainty that exists in the parameters involved in the proposed model. To solve the uncertain multi‐objective selective maintenance model, we have proposed four‐valued neutrosophic technique. The proposed solution methodology combines the concept of four‐valued neutrosophic fuzzy set with fuzzy goal programming technique. Four linear membership functions for the degrees of truth, uncertainty, contradiction, and false are used to obtain the compromise solution through the proposed technique. To determine the feasibility and applicability of the proposed model and solution methodology, a case problem of multi‐component system of an aircraft gas turbine engine is studied.

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Neutrosophic fuzzy goal programming approach in selective maintenance allocation of system reliability

Kamal

Modibbo

AlArjani

et al. 2021

Complex Intell. Syst.

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Selective maintenance problem plays an essential role in reliability optimization decision-making problems. Systems are a configuration of several components, and there are situations the system needs small intervals or break for maintenance actions, during the intervals expert carried out the maintenance actions to replace or repair the deteriorated components of the systems. Because of the uncertainty associated with the component’s operational time, failure, and next mission duration create a new challenge in determining optimal components allocation and evaluating future missions successfully. In this paper, a multi-objective selective maintenance allocation problem is formulated with fuzzy parameters under neutrosophic environment. A new defuzzification technique is introduced based on beta distribution to convert fuzzy parameters into crisp values. The neutrosophic goal programming technique is used to determine the compromise allocation of replaceable and repairable components based on the system reliability optimization. A numerical illustration is used to validate the model and ascertain its effectiveness. The result is compared with two other approaches and found to be better. The method is flexible and straightforward and can be solved using any available commercial packages. The extension of the concept can be useful to other complex system reliability optimization.

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A Fuzzy Approach for a Multiobjective Selective Maintenance Problem

Cited by 6 publications

References 0 publications

A literature review on selective maintenance for multi‐unit systems

A literature review on selective maintenance for multi‐unit systems

Optimizing system reliability through selective maintenance allocation: A novel multi‐objective programming approach using neutrosophic fuzzy concept

Neutrosophic fuzzy goal programming approach in selective maintenance allocation of system reliability

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