Fuzzy adaptive preventive maintenance in a manufacturing control system: a step towards self-maintenance

Fuzzy adaptive preventive maintenance in a manufacturing control system: a step towards self-maintenance

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Article ID: iaor20061558
Country: United Kingdom
Volume: 44
Issue: 1
Start Page Number: 159
End Page Number: 180
Publication Date: Jan 2006
Journal: International Journal of Production Research
Authors: ,
Keywords: fuzzy sets
Abstract:

In this paper, a framework of integrating preventive maintenance (PM) and manufacturing control system is proposed. Fuzzy-logic control is used to enable an intelligent approach of integrating PM and a manufacturing control system. This will contribute to the novel development of an integrated and intelligent framework in those two fields that are sometimes difficult to achieve. This idea is based on combining work on an intelligent real-time controller for a failure-prone manufacturing system using a fuzzy-logic approach and the work on PM proposed by Labib et al. The aim of the research is to control a failure-prone manufacturing system and at the same time propose which PM method is applicable to a specific failure-prone manufacturing system. The mean time to repair and mean time between failures of the system are used as integrator agents, by using them to couple the two areas to be integrated (i.e. a maintenance system and manufacturing system).

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