• DocumentCode
    2246370
  • Title

    Fuzzy renewal process, fuzzy renewal reward process and their applications

  • Author

    Zhao, Ruiqing ; Tang, Wansheng ; Yun, Huaili

  • Author_Institution
    Inst. of Syst. Eng., Tianjin Univ., China
  • Volume
    2
  • fYear
    2004
  • fDate
    25-29 July 2004
  • Firstpage
    739
  • Abstract
    This work extends the work in Zhao and Liu on fuzzy renewal process and renewal reward process from continuous case to more general case. Fuzzy elementary renewal theorem and fuzzy renewal reward theorem are developed and shown how they can be applied to maintenance policies. Three kinds of maintenance policies- fuzzy age replacement policy, fuzzy block replacement policy and fuzzy inspection policy are discussed. The optimality functions studied are the long run expected costs per unit of time. Finally, a hybrid intelligent algorithm is employed to solve the models proposed in maintenance policies and to arrive at optimum policies. A numerical example is enumerated and the result indicates that the algorithm is effective.
  • Keywords
    fuzzy set theory; maintenance engineering; optimisation; reliability theory; fuzzy age replacement policy; fuzzy block replacement policy; fuzzy elementary renewal theorem; fuzzy inspection policy; fuzzy renewal reward process; fuzzy renewal reward theorem; hybrid intelligent algorithm; maintenance policies; optimality functions; Chromium; Cost function; Fuzzy systems; Inspection; Integral equations; National electric code; Possibility theory; Random processes; Stochastic processes; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on
  • ISSN
    1098-7584
  • Print_ISBN
    0-7803-8353-2
  • Type

    conf

  • DOI
    10.1109/FUZZY.2004.1375491
  • Filename
    1375491