• DocumentCode
    3365198
  • Title

    Cost Benefit Analysis for condition based maintenance

  • Author

    Verma, Nishchal K. ; Khatravath, Sreevidya ; Salour, Al

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Technol., Kanpur, Kanpur, India
  • fYear
    2013
  • fDate
    24-27 June 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Investment in maintenance of machines is significant for industries. In this paper, we suggest a Cost Benefit Analysis model and review most commonly used maintenance strategies like corrective maintenance and preventive maintenance with the model. Here, we presented a method to calculate net revenue generated by machine for optimal and cost effective alternative for machine maintenance. Method used for calculating net revenue is improved using factors such as labor cost, failure rate, utilization factor etc. Formulated net revenue provides satisfactory results when compared with the industrial information on machine maintenance strategies. Realistic data are used to analyze revenue with different maintenance strategies. From the results it is concluded that though condition based maintenance as a maintenance strategy has high initial investment cost with time it has high revenue generation compared to other maintenance polices.
  • Keywords
    condition monitoring; cost-benefit analysis; costing; industrial economics; investment; machinery; preventive maintenance; production equipment; strategic planning; corrective maintenance; cost benefit analysis; failure rate; investment cost; labor cost; machine condition based maintenance strategies; net revenue; preventive maintenance; revenue generation; utilization factor; Investment; Maintenance engineering; Welding; condition based maintenance; corrective maintenance; failure rate; net revenue; repair rate; time based maintenance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Prognostics and Health Management (PHM), 2013 IEEE Conference on
  • Conference_Location
    Gaithersburg, MD
  • Print_ISBN
    978-1-4673-5722-7
  • Type

    conf

  • DOI
    10.1109/ICPHM.2013.6621451
  • Filename
    6621451