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

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 integrated (i.e. a maintenance system and manufacturing system).

[1]  A W Labib,et al.  An intelligent maintenance model (system): an application of the analytic hierarchy process and a fuzzy logic rule-based controller , 1998, J. Oper. Res. Soc..

[2]  A. W. Labib,et al.  Optimal control of an unreliable machine using fuzzy-logic control: from design to implementation , 2005 .

[3]  Ashraf Labib,et al.  A decision analysis model for maintenance policy selection using a CMMS , 2004 .

[4]  A. Sharifnia,et al.  Production control of a manufacturing system with multiple machine states , 1988 .

[5]  Ali Gharbi,et al.  Optimal production control problem in stochastic multiple-product multiple-machine manufacturing systems , 2003 .

[6]  José Israel,et al.  Effect of control frequency on the performance of manufacturing systems with controllable production rates , 2001 .

[7]  James R. Perkins.  Optimal Control of Failure-Prone Manufacturing Systems with Constant Repair Times , 2004, Ann. Oper. Res..

[8]  Ali Gharbi,et al.  A simulation optimization approach in production planning of failure prone manufacturing systems , 2001, J. Intell. Manuf..

[9]  Panganamala Ramana Kumar,et al.  Optimality of Zero-Inventory Policies for Unreliable Manufacturing Systems , 1988, Oper. Res..

[10]  Baichun Xiao,et al.  Optimal threshold control in discrete failure-prone manufacturing systems , 2002, IEEE Trans. Autom. Control..

[11]  R. Akella,et al.  Optimal control of production rate in a failure prone manufacturing system , 1985, 1985 24th IEEE Conference on Decision and Control.

[12]  Stanley Gershwin,et al.  An algorithm for the computer control of production in a flexible manufacturing system , 1981, 1981 20th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.

[13]  Ashraf Labib,et al.  Intelligent real time control of disturbances in manufacturing systems , 2005 .

[14]  Stanley B. Gershwin,et al.  Short term production scheduling of an automated manufacturing facility , 1984, The 23rd IEEE Conference on Decision and Control.