Cost minimization of maintained multi-state system using optimal load distribution

Imane Maatouk, Eric Chatelet () and N. Chebbo
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Imane Maatouk: LM2S - Laboratoire Modélisation et Sûreté des Systèmes - ICD - Institut Charles Delaunay - UTT - Université de Technologie de Troyes - CNRS - Centre National de la Recherche Scientifique
Eric Chatelet: LM2S - Laboratoire Modélisation et Sûreté des Systèmes - ICD - Institut Charles Delaunay - UTT - Université de Technologie de Troyes - CNRS - Centre National de la Recherche Scientifique
N. Chebbo: LU / ULB - الجامعة اللبنانية [بيروت] = Lebanese University [Beirut] = Université libanaise [Beyrouth]

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Abstract: This paper presents a method for determining a minimal cost of a multi-state system subject to a corrective maintenance. The minimal cost is achieved by finding an optimal load distribution from a sequence of possible combinations. The cost considered is a combination of downtime cost (loss of productivity) and repair cost. The former is affected by a penalty value. The element failure rate depends on its current load. The universal generating function is used to evaluate the performance distribution of the entire system. Then, the unavailability and the repair time are estimated in order to obtain the objective function. The objective function is minimized using genetic algorithm. An illustrative example is presented. The effect of penalty value is studied.

Keywords: genetic algorithm; load distribution; multi-state system; optimization; universal generating function (search for similar items in EconPapers)
Date: 2012-06-15
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Published in 2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), Jun 2012, Chengdu, China. pp.1005-1009, ⟨10.1109/ICQR2MSE.2012.6246394⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-02307443

DOI: 10.1109/ICQR2MSE.2012.6246394

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