• DocumentCode
    2701164
  • Title

    Cost minimization of maintained multi-state system using optimal load distribution

  • Author

    Maatouk, I. ; Châtelet, E. ; Chebbo, N.

  • Author_Institution
    ICD-LM2S, Univ. de Technol. de Troyes, Troyes, France
  • fYear
    2012
  • fDate
    15-18 June 2012
  • Firstpage
    1005
  • Lastpage
    1009
  • Abstract
    This paper presents a method for determining a minimal cost of a multi-state system subject to a corrective maintenance. The minimal cost is achieved by finding an optimal load distribution from a sequence of possible combinations. The cost considered is a combination of downtime cost (loss of productivity) and repair cost. The former is affected by a penalty value. The element failure rate depends on its current load. The universal generating function is used to evaluate the performance distribution of the entire system. Then, the unavailability and the repair time are estimated in order to obtain the objective function. The objective function is minimized using genetic algorithm. An illustrative example is presented. The effect of penalty value is studied.
  • Keywords
    cost reduction; failure analysis; genetic algorithms; maintenance engineering; performance evaluation; productivity; corrective maintenance; cost minimization; downtime cost combination; element failure rate; entire system; genetic algorithm; maintained multi-tate system; minimal cost; multistate system; objective function; optimal load distribution; penalty value; performance distribution evaluation; productivity loss; repair cost; repair time; universal generating function; Availability; Finite element methods; Genetic algorithms; Loading; Maintenance engineering; Optimization; genetic algorithm; load distribution; multi-state system; optimization; universal generating function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2012 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4673-0786-4
  • Type

    conf

  • DOI
    10.1109/ICQR2MSE.2012.6246394
  • Filename
    6246394