Decisions Making Optimization in a Complex System's Maintenance Policy Using Metaheuristics, UGF and Proportional Hazard Model - Archive ouverte HAL Access content directly
Journal Articles International journal of computational science Year : 2007

Decisions Making Optimization in a Complex System's Maintenance Policy Using Metaheuristics, UGF and Proportional Hazard Model

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Abstract

The world is getting increasingly complex and we are becoming more and more depending on man-made systems and environments. Failures and lack of function may have increasing consequences to an increasing number of people. In many areas pressure on cost or use of resources is growing. This is a challenge to every organization-how can available resources be used in an effective way. In this situation maintenance optimization is an ever-present issue. In this paper, an optimized maintenance policy for multi state system is presented. Metaheuristics are used as optimisation tools, and the Universal Generating Function and proportional hazard model in system behaviour modelling.
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Dates and versions

hal-02562589 , version 1 (04-05-2020)

Identifiers

  • HAL Id : hal-02562589 , version 1

Cite

Mohamad Samrout, Eric Chatelet, Raed Kouta, Nazir Chebbo. Decisions Making Optimization in a Complex System's Maintenance Policy Using Metaheuristics, UGF and Proportional Hazard Model. International journal of computational science, 2007, 1, 1 (40-57). ⟨hal-02562589⟩
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