Skip to main content

Optimizing the Life-Cycle-Performance of Machine Tools by Reliability and Availability Prognosis

  • Conference paper
Advances in Life Cycle Engineering for Sustainable Manufacturing Businesses

Abstract

The Life-Cycle-Performance of machine tools is a key figure concerning aspects of cost and benefits such as a high reliability and availability [1]. The dependence of production facilities on a high and constant availability increases with the degree of utilization. Hence, the availability of machine tools is substantial for the economic success of a manufacturer. The configuration of equipment elements in line with adapted product-accompanying services decisively contributes to the availability assurance. Thus, the aim of the article is to present a comprehensive calculation model to optimize the Life-Cycle-Performance of machine tools by a suitable reliability and availability prognosis considering the availability contribution of alternative machine equipment options and product accompanying services.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 219.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

9 References

  1. Fleischer, J. et al., 2005, Bewertung der Life-Cycle-Performance Eine Methode zum lebenszyklusorientierten Angebotsvergleich bei produktionstechnischen Anlagen, wt-online, Ausgabe 7/8 2005, 559 ff..

    Google Scholar 

  2. Fleischer, J., Wawerla, M., Niggeschmidt, S., 2006, Bedeutung von Life Cycle Cost im Werkzeugmaschinenbau, VDMA-Nachrichten 5: 42–43.

    Google Scholar 

  3. Kumar, U.D., Knezevic, J., 1998, Supportability — critical factor on system’s operational availability, International Journal of Quality & Reliability Management.

    Google Scholar 

  4. Verein Deutscher Ingenieure, 1986, VDI-Richtlinie 4004, Blatt 4, Zuverlässigkeitskenngrößen — Verfügbarkeitskenngrößen, Beuth, Berlin.

    Google Scholar 

  5. Birolini, A., 2004, Reliability Engineering — Theory and Practice, 4th ed., Berlin, Springer.

    Google Scholar 

  6. Blischke, W.R., Murthy, D.N.P., 2000, Reliability — Modeling, Prediction, and Optimization, Wiley, New York.

    MATH  Google Scholar 

  7. Blanchard, B.S., Verma, D., Peterson, E.L., 1995, Maintainability, Wiley, New York.

    Google Scholar 

  8. Wani, M.F., Gandhi, O.P., 1999, Development of maintainability index for mechanical systems, Reliability Engineering and System Safety, 65:259–270.

    Article  Google Scholar 

  9. Goffin, K., 2000, Design for Supportability: Essential Component of New Product Development, Research-Technology Management, 43/2:40–47.

    Google Scholar 

  10. Markeset, T., Kumar, U., 2003, Design and development of product support and maintenance concepts for industrial systems, Journal of Quality in Maintenance Engineering, 9/4:376–392.

    Article  Google Scholar 

  11. DIN EN 60300-3-2, 2005, Dependability management — Application guide — Collection of dependability data from field; German version, Beuth, Berlin

    Google Scholar 

  12. Köhrmann, C.; Wiendahl, H.-P., 1998, International Strategies Used for Availability Optimisation of Assembly Systems, International Journal of Advanced Manufacturing Technology.

    Google Scholar 

  13. Department of Defense, 1995, MIL-HDBK 217 F, Reliability Prediction of Electronic Equipment, Washington D.C..

    Google Scholar 

  14. Naval Surface Warfare Center (Hrsg.), 1998, NSWC-98/LE1, Handbook of Reliability Prediction Procedures for Mechanical Equipment, Naval Surface Warfare Center, Carderock Division, West Bethesda.

    Google Scholar 

  15. Fleischer, J., Nesges, D., 2005, Lifecycle Cost-Modelling for Machinery with Specified Availability Levels. CIRP Reconfigurable manufacturing Systems 2005, Ann Arbor.

    Google Scholar 

  16. Gadhi, K. Simeu-Abazi, Z., 2001, The modeling of a manufacturing system taking into account of the equipment aging and wear, in: Emerging Technologies and Factory Automation, Proceedings 1: 503–507.

    Google Scholar 

  17. DIN EN 61703, 2002, Mathematical expressions for reliability, availability, maintainability and maintenance support terms; German version, Beuth, Berlin.

    Google Scholar 

  18. Kline, M. B., 1984, Suitability of the lognormal distribution for corrective maintenance repair times, Reliability Engineering 9, 65–80.

    Article  Google Scholar 

  19. Takata, S., et al., 2004, Maintenance: Changing Role in Life Cycle Management, Annals of the CIRP 53/2, 1–13.

    Article  MathSciNet  Google Scholar 

  20. Martz, H. F. Jr., 1971, On Single-Cycle Availability, IEEE Transactions on Reliability R-20, 21–23.

    Google Scholar 

  21. Kabak, I. W., 1969, System Availability and some Design Implications, The journal of the Operations Research Society of America 17, 827–837.

    MATH  Google Scholar 

  22. Nakagawa, T., Goel, A., 1973, A Note on Availability for a finite Interval, IEEE Transactions on Reliability R-22. 271–272.

    Google Scholar 

  23. Gang, X., 2002, A Monte Carlo method for obtaining reliability and availability confidence limits of complex maintenance system, Acta Armamentarii 23, 215–218.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag London Limited

About this paper

Cite this paper

Fleischer, J., Niggeschmidt, S., Wawerla, M. (2007). Optimizing the Life-Cycle-Performance of Machine Tools by Reliability and Availability Prognosis. In: Takata, S., Umeda, Y. (eds) Advances in Life Cycle Engineering for Sustainable Manufacturing Businesses. Springer, London. https://doi.org/10.1007/978-1-84628-935-4_57

Download citation

  • DOI: https://doi.org/10.1007/978-1-84628-935-4_57

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84628-934-7

  • Online ISBN: 978-1-84628-935-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics