Performance evaluation of multi-state degraded systems with minimal repairs and imperfect preventive maintenance

Soro, Isaac W.; Nourelfath, Mustapha; Aït‐Kadi, Daoud

doi:10.1016/j.ress.2009.08.004

Cited by 128 publications

(53 citation statements)

References 10 publications

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“…According to the proposed Markov model in Figure 1, Chapman-Kolmogorov equations [27] are used to calculate p i (t). These equations are as follows: dP 1 (t) dt = ( 1 + 1 )P 1 (t)+ 1 P 2 (t)+ 1 P 2d 1 (t) 1 ; (8.1) dP 2j 1 (t) dt = ( j + j )P 2j 1 (t) + j P 2j (t) + j 1 P 2j 3 (t) + j P 2d 1 (t) j for j = 2; ; d 1; with the following initial values: p 1 (t) = 1; p 2 (t) = p 3 (t) = = p 2d+1 (t) = 0:…”

Section: The Availability Functionmentioning

confidence: 99%

“…An analytical approach based on the failure number of the system was used to determine the optimal replacement policy. Soro et al [27] suggested that if the system reaches the last acceptable degraded state, it is brought back to one of the states with higher efciency employing preventive maintenance. Nourelfath et al [28] formulated a joint redundancy and imperfect preventive maintenance planning optimization model for series-parallel multi-state degraded systems.…”

Section: Introductionmentioning

confidence: 99%

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A Multi-Objective Multi-State Degraded System to Optimize Maintenance/Repair Costs and System Availability

et al. 2017

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Abstract. In this study, a multi-state degraded system is studied, where status of system is continuously degrading over time. As time progresses, system may either deteriorate gradually and go to lower performance state, or it may fail suddenly. If the system fails, some repairs are carried out to restore the system to the previous state. When the inspections reveal that the system has reached its last acceptable state, a PM is carried out to restore the system to the higher performance states. The goal is to nd the optimal PM level, so that the mean availability of the system is maximized and the total cost of the system is minimized. In this regard, Markov process is employed to represent di erent states of system. An integrated optimization approach is also suggested based on the desirability function of statistical approach. The suggested aggregation method is robust to the potential dependency between the total cost and the mean availability. It also ensures that both objective functions fall in decision-maker's acceptable region. In order to show the e ciency of the proposed approach, a numerical example is presented and analyzed.

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Section: The Availability Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Multi-Objective Multi-State Degraded System to Optimize Maintenance/Repair Costs and System Availability

et al. 2017

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“… preventive maintenance -According to Soro, et al (2010), preventive maintenance is the practice of replacing components or subsystems before they fail, usually with predetermined frequency (hard time) or due to inspection and test (condition monitoring). The goal is to maintain continuous operation of the system, in this case the aircraft;…”

Section: Maintenance Typesmentioning

confidence: 99%

Clustering the Technical Capability in the Brazilian Aeronautical Maintenance Industry

Machado¹,

Urbina²,

Scarpel³

2013

Ind. Jour. Man. & Prod.

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In the sectors where equipment requiring services of maintenance are technologically complex and advanced, such as in the air transportation, knowing and managing the technical capability of the enterprises of the sector can be a good way maximizing the efforts of training. This paper attempts to present a process of technical capability clustering for the aeronautical maintenance industry, in order to provide a usable overview of the sector competences. The findings present a unique insight into the understanding of competences clustering that may be used across different industries.

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“…Instead of using an exponential distribution, it may be more realistic to assume that a general probability distribution describes staying time in one of these states (Welte 2008). Soro (Soro et al 2010) proposed a model for evaluating availability, production rate and reliability function of multi-state degraded systems subject to minimal repairs and imperfect preventive maintenance. System status is considered to degrade with its use.…”

Section: Introductionmentioning

confidence: 99%

Decision support with a markovian approach for maintenance context activities

Vrignat¹,

Avila²,

Duculty³

et al. 2011

Advances in Safety, Reliability and Risk Management

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Performance evaluation of multi-state degraded systems with minimal repairs and imperfect preventive maintenance

Cited by 128 publications

References 10 publications

A Multi-Objective Multi-State Degraded System to Optimize Maintenance/Repair Costs and System Availability

A Multi-Objective Multi-State Degraded System to Optimize Maintenance/Repair Costs and System Availability

Clustering the Technical Capability in the Brazilian Aeronautical Maintenance Industry

Decision support with a markovian approach for maintenance context activities

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