• DocumentCode
    2178019
  • Title

    Case study of cost benefits of condition based maintenance used in medical devices

  • Author

    Qian Zhang

  • Author_Institution
    Carefusion Inc., Poway, CA, USA
  • fYear
    2013
  • fDate
    28-31 Jan. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, a case study is presented to demonstrate how a Condition Based Maintenance (CBM) program can be used to utilize field data and usage data, to minimize unnecessary maintenance, and to reduce service costs. In the case study, the service order data, local dispensing station logs, and install asset data on medicine dispensing products are analyzed. Field data analysis is performed to obtain the Weibull distributions of the system, subsystems and subassemblies. A model is proposed to establish the criteria of the CBM. Optimal parameters such as confidence level and number of failures are obtained by maximizing cost benefits of the CBM comparing with the field service data. Finally, the case study shows that a significant cost saving can be achieved by utilizing the existing field and usage data to establish the CBM program in medicine dispensing product service.
  • Keywords
    Weibull distribution; biomedical equipment; condition monitoring; cost reduction; cost-benefit analysis; failure analysis; maintenance engineering; CBM program; Weibull distributions; condition based maintenance; cost benefit analysis; failures; field data analysis; maintenance cost minimization; medical devices; medicine dispensing products; service cost reduction; Cities and towns; Data analysis; Equations; Maintenance engineering; Mathematical model; Reliability; Shape; Condition Based Maintenance; Cost Benefit Analysis; Field Data Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability and Maintainability Symposium (RAMS), 2013 Proceedings - Annual
  • Conference_Location
    Orlando, FL
  • ISSN
    0149-144X
  • Print_ISBN
    978-1-4673-4709-9
  • Type

    conf

  • DOI
    10.1109/RAMS.2013.6517676
  • Filename
    6517676