• DocumentCode
    3472482
  • Title

    The uncertainty of preventive maintenance cycle time of machinery based on cost — Revenue ratio model

  • Author

    Talabgaew, S.

  • Author_Institution
    Dept. of Teacher Training in Mech. Eng., KMUTNB, Bangkok, Thailand
  • fYear
    2011
  • fDate
    14-17 Sept. 2011
  • Firstpage
    161
  • Lastpage
    165
  • Abstract
    Determining the optimal preventive maintenance cycle time is one of the problems in maintenance task because there are many factors to be considered such as continuous operation, equipment conditions or the necessity of delivery date. Theoretically, preventive maintenance (PM) cycle time is inconsistent and it is assumed as normal distribution or N(MTTF,σ2). The assumption in this paper considers the relationship between the cost of monitoring and the extra revenue when the machine operation is still in good conditions during the PM interval. On the other hand, if the machine operation fails before PM interval, there are the opportunity lost costs due to lack of manufactured parts and cost of failure to be considered. This paper presents the developed model for the relationship between the uncertainty of PM interval and cost - revenue ratio. The mathematical model in this paper is φ(δ*/σ)/Φ(δ*/σ)=CMσ/R-(L+CF). At the conclusion, the developed model is validated by using published data from previous research.
  • Keywords
    condition monitoring; costing; failure analysis; machinery; mathematical analysis; normal distribution; preventive maintenance; production equipment; cost-revenue ratio model; equipment conditions; equipment delivery date; failure; machinery condition; maintenance task; mathematical model; normal distribution; preventive maintenance cycle time; Continuous production; Equations; Monitoring; Preventive maintenance; Uncertainty; Valves; Cost — Revenue Ratio; Preventive Maintenance; The Uncertainty of PM Plan;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Quality and Reliability (ICQR), 2011 IEEE International Conference on
  • Conference_Location
    Bangkok
  • Print_ISBN
    978-1-4577-0626-4
  • Type

    conf

  • DOI
    10.1109/ICQR.2011.6031701
  • Filename
    6031701