A cost effective degradation-based maintenance strategy under imperfect repair

Wang, Fan; Niknam, Seyed Ali; Kobza, John E.

doi:10.1016/j.ress.2015.08.002

Cited by 51 publications

(26 citation statements)

References 32 publications

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“…According to Equation (11), the expected number of potential failures that are detected in the T k can be expressed:…”

Section: Preventive Maintenance Modeling For Most Critical Machines Bmentioning

confidence: 99%

“…In previous literature, the group maintenance method, which meant that a group machines with similar characteristics are maintained together in order to reduce the maintenance times and maintenance costs, was considered to be suitable for the automatic production line [9,10]. Wu et al [11] developed an optimized maintenance cost model to determine an optimal interval of condition monitoring and the degradation level after imperfect preventive repairs, which had initiated a new area for the research on cost effective maintenance strategies. Barata and Tong respectively established the maintenance optimization models for the production line using the different methods [12,13].…”

Section: Introductionmentioning

confidence: 99%

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Development of a Preventive Maintenance Strategy for an Automatic Production Line Based on Group Maintenance Method

Zhang

et al. 2018

Applied Sciences

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The high maintenance costs and low reliability of automatic production line are attributed to the complexity of maintenance management. In the present study, a preventive maintenance strategy for the automatic production line was developed based on the group maintenance method. The criticality of machines in the production line was evaluated, and then the machines were classified into three groups: the most critical machines, the secondary critical machines and the general machines. The general machines were performed on the breakdown maintenance. The preventive maintenance model of the most critical machines was established with the shortest shutdown time as decision objective on basis of the Delay-time theory. The maintenance model of the secondary critical machine was established based on the considering of reliability-maintenance cost. A case study on an automotive part automatic production line was carried out to verify the proposed preventive maintenance strategy based on the production line data, and the maintenance periods of the most and secondary critical machines were gained; meanwhile, the machines all satisfied the reliability requirements during the maintenance periods.

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“…According to Equation (11), the expected number of potential failures that are detected in the T k can be expressed:…”

Section: Preventive Maintenance Modeling For Most Critical Machines Bmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Development of a Preventive Maintenance Strategy for an Automatic Production Line Based on Group Maintenance Method

Zhang

et al. 2018

Applied Sciences

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show abstract

“…Recently, there are many literature works on the optimal preventive maintenance strategy of the series system. Wu et al [1] established an optimized maintenance cost model and determined the optimal condition monitoring interval and the degradation level after imperfect preventive maintenance. e authors in [2] developed a dynamic maintenance strategy joint optimization problem that integrates production and opportunity maintenance.…”

Section: Introductionmentioning

confidence: 99%

A New Maintenance Optimization Model Based on Three‐Stage Time Delay for Series Intelligent System with Intermediate Buffer

Liu

et al. 2021

Shock and Vibration

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For the maintenance problem of intelligent series system with buffer stock, a preventive maintenance model based on the threestage time delay theory is proposed. Firstly, the intelligent series system is decomposed into n − 1 virtual series systems by using approximate decomposition method. The impact factor is introduced to establish the failure rate and maintenance rate model of each virtual machine. Secondly, a preventive maintenance model based on the three-stage time delay theory is proposed for each virtual series system. The machine state from normal operation to failure stage is divided into three steps: initial defect, serious defect, and fault, and different distribution functions are defined in different stages to simulate the degradation process of the machine. Based on the three-stage time delay theory, the machine cost ratio model was established by taking the machine monitoring time and buffer stock as decision variables and the minimum unit time cost rate as objective function. Finally, the rationality and validity of the model are verified by an example analysis, which provides a basis for the maintenance of the intelligent series system.

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“…Some models are based on the notion of virtual age previously introduced in the context of recurrent events (see, e.g., [12,24]), where the system is rejuvenated by a maintenance action. Other models consider that an imperfect repair reduces the deterioration level of the system, such as [17,20,26,28,30], which can be accompanied by some increase in the deterioration rate, as in [9]. Also, some papers consider that the efficiency decreases with the number of repair (see, e.g., [22,33]), and further studies, as in [14], deal with imperfect maintenance models such that (i) repairs have a random efficiency (ii) the deterioration rate increases with the number of repairs.…”

Section: Introductionmentioning

confidence: 99%

“…Of course, apart from the previous safety concern, the maintenance costs are another issue. As an example, in [30], the costs minimization is based on the monitoring time and on the imperfect maintenance efficiency. In [14], the author considers a threshold for the degradation, beyond which an imperfect maintenance is performed.…”

Section: Introductionmentioning

confidence: 99%

Semiparametric estimate of the efficiency of imperfect maintenance actions for a gamma deteriorating system

Salles

Mercier

Bordes

2020

Journal of Statistical Planning and Inference

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A system is considered, which is deteriorating over time according to a non homogeneous gamma process with unknown parameters. The system is subject to periodic and instantaneous imperfect maintenance actions (repairs). Each imperfect repair removes a proportion ρ of the accumulated degradation since the previous repair. The parameter ρ hence appears as a measure for the maintenance efficiency. This model is called arithmetic reduction of degradation of order 1. The system is inspected right before each maintenance action, thus providing some multivariate measurement of the successively observed deterioration levels. Based on these data, a semiparametric estimator of ρ is proposed, considering the parameters of the underlying gamma process as nuisance parameters. This estimator is mainly based on the range of admissible ρ's, which depends on the data. Under technical assumptions, consistency results are obtained, with surprisingly high convergence rates (up to exponential). The case where several i.i.d. systems are observed is next envisioned. Consistency results are obtained for the efficiency estimator, as the number of systems tends to infinity, with a convergence rate that can be higher or lower than the classical square root rate. Finally, the performances of the estimators are illustrated on a few numerical examples.

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A cost effective degradation-based maintenance strategy under imperfect repair

Cited by 51 publications

References 32 publications

Development of a Preventive Maintenance Strategy for an Automatic Production Line Based on Group Maintenance Method

Development of a Preventive Maintenance Strategy for an Automatic Production Line Based on Group Maintenance Method

A New Maintenance Optimization Model Based on Three‐Stage Time Delay for Series Intelligent System with Intermediate Buffer

Semiparametric estimate of the efficiency of imperfect maintenance actions for a gamma deteriorating system

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