• DocumentCode
    3250518
  • Title

    Modeling and optimization of deteriorating equipment with predictive maintenance and inspection

  • Author

    Wang, Ning ; Sun, Shu-Dong ; Li, Shu-Min ; Si, Shu-Bin

  • Author_Institution
    Sch. of Mechantronics, Northwestern Polytech. Univ., Xi´´an, China
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    942
  • Lastpage
    946
  • Abstract
    The predictive maintenance policy of deteriorating equipment is studied in the paper. A semi-Markov decision process (SMDP) is utilized to modeling the deteriorating equipment. The model includes the inspection state which assumes equipment can fail due to both deterioration and random causes. The alternative action includes do nothing, do minor maintenance and do major maintenance after the inspection. The objective is to optimize the inspection rate for maximum availability of deteriorating equipment. A special case study demonstrates that the inspection can significantly improve the availability of the equipment, if the frequency is properly determined.
  • Keywords
    Markov processes; condition monitoring; inspection; optimisation; preventive maintenance; production equipment; deteriorating equipment; inspection; optimization; predictive maintenance policy; semiMarkov decision process; Data models; Europe; Inspection; Maintenance engineering; deteriorating equipment; inspection; predictive maintenance; semi-Markov decision process;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IE&EM), 2010 IEEE 17Th International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-6483-8
  • Type

    conf

  • DOI
    10.1109/ICIEEM.2010.5646469
  • Filename
    5646469