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

M. Yuniarto, Ashraf Labib

Research output: Contribution to journalArticlepeer-review


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 (Yuniarto, M.N. and Labib, A.W., Optimal control system of an unreliable machine using fuzzy logic control: from design to implementation. Int. J. Prod. Res. (in press a); Yuniarto, M.N. and Labib, A.W., Intelligent real time control of disturbances in manufacturing systems. Integr. Manuf. Syst.: Int. J. Manuf. Technol. Manage. (in press b) and the work on PM proposed by Labib et al. (Labib, A.W., Williams, G.B. and O’Connor, R.F., An intelligent maintenance model (system): an application of analytic hierarchy process and a fuzzy logic rule-based controller. J. Oper. Res. Soc., 1998, 49, 745–757)). 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 tegrated (i.e. a maintenance system and manufacturing system).
Original languageEnglish
Pages (from-to)159-180
Number of pages22
JournalInternational Journal of Production Research
Issue number1
Publication statusPublished - 1 Jan 2006


Dive into the research topics of 'Fuzzy adaptive preventive maintenance in a manufacturing control system: a step towards self-maintenance'. Together they form a unique fingerprint.

Cite this