• DocumentCode
    2339865
  • Title

    A replacement policy of deteriorating production systems subject to imperfect repairs

  • Author

    Nodem, F. I Dehayem ; Kenne, J.P. ; Gharbi, A.

  • Author_Institution
    Dept. of Mech. Eng., Production Technol. Integration Lab., Montreal, QC
  • fYear
    2008
  • fDate
    3-5 June 2008
  • Firstpage
    6
  • Lastpage
    11
  • Abstract
    In this paper, we investigated a deteriorating production system subject to random machine breakdowns, imperfect repairs and replacement. The machine produces one type of product and upon each breakdown, an action is chosen between repairs and replace. If the machine is to be repaired, then an imperfect repair is undertaken. If not, the machine is replaced by a new identical one. The decision variables of the system are the repair/replacement and production policies. The objective of the control problem is to find decision variables that minimize the total incurred costs over an infinite planning horizon. A semi-Markov decision process (SMDP), is used to determine the optimal repair/replacement and production policies. A numerical example is given to illustrate the proposed approach and to show the impact of the policies on several failures number.
  • Keywords
    failure analysis; maintenance engineering; manufacturing systems; optimal control; production equipment; production planning; decision variables; deteriorating production systems; imperfect repairs; random machine breakdowns; replacement policy; semiMarkov decision process; Costs; Electric breakdown; Flexible manufacturing systems; Laboratories; Manufacturing systems; Mechanical engineering; Optimal control; Preventive maintenance; Production planning; Production systems; Manufacturing systems; Numerical methods; Optimal control; Production planning; damage failures; imperfect repairs; replacement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2008. ICIEA 2008. 3rd IEEE Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1717-9
  • Electronic_ISBN
    978-1-4244-1718-6
  • Type

    conf

  • DOI
    10.1109/ICIEA.2008.4582470
  • Filename
    4582470