Skip to main content
SpringerLink
Log in

Condition based maintenance planning of highly productive machine tools

  • Machine Tools
  • Published:
Production Engineering Aims and scope Submit manuscript

Abstract

The competitiveness of producing enterprises in high-wage countries is extremely dependent on the productivity of the production line. Consequently, the availability of machines displays an essential index. The aim of the research project “Make-it” (Condition Based Maintenance Planning of Highly Productive Machine Tools) was to improve the availability of machine tools. Therefore, within this joint project, new methods and approaches for condition based maintenance were investigated. Thereby, an important objective was to develop an innovative maintenance algorithm which enables to calculate the most cost-effective maintenance times based on a continuous prognosis of the remaining life time, maintenance costs, and potential failure costs. This paper describes the results of the developed maintenance approach. Within this paper, the fundamental mathematical foundations of the innovative, cost-oriented maintenance algorithm and the use of the data of machine condition are presented in the first part. Moreover, the implementation of the algorithm in a computerized maintenance management system is described. The validation of the cost-oriented maintenance planning by means of event-oriented simulation will also be part of this paper.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

References

  1. Neugebauer R, Fischer J, Praedicow M (2010) Condition-based preventive maintenance of main spindles. Prod Eng 5(1):95–102

    Google Scholar 

  2. Brecher C, Witt S, Klein W (2008) Condition monitoring of monorail guidance systems. Prod Eng 2:333–337

    Article  Google Scholar 

  3. Bluemel P (2011) Kostenorientierte Instandhaltungsplanung basierend auf Maschinenzustandsdaten. Dissertation, Leibniz Universität Hannover, Germany

  4. Esposito D (2008) Programming microsoft ASP.Net 3.5. Microsoft Press, Redmond

    Google Scholar 

  5. Teti R, Jemielniak K, O’Donnell G, Dornfeld D (2010) Advanced monitoring of machining operations. CIRP Ann Manuf Technol 59:717–739

    Article  Google Scholar 

  6. Bangsow S (2010) Manufacturing simulation with plant simulation and simtalk: usage and programming with examples and solutions. Springer, Berlin

    Book  Google Scholar 

  7. Jardine AKS, Lin D, Banjevic D (2006) A review on machinery diagnostics and prognostics implementing condition-based maintenance. Mech Syst Signal Process 20:1483–1510

    Article  Google Scholar 

  8. Rodriguez C, Souza G (2010) Reliability concepts applied to cutting tool change time. Reliab Eng Syst Saf 95:866–873

    Article  Google Scholar 

  9. Shabtay D, Kaspi M (2003) The efficiency range of economical cutting conditions and tool replacement under the age replacement strategy. Int J Prod Res 41:2563–2580

    Article  MATH  Google Scholar 

  10. Song D-P (2009) Production and preventive maintenance control in a stochastic manufacturing system. Int J Prod Econ 119:101–111

    Article  Google Scholar 

  11. Axinte D, Gindy N (2004) Assessment of the effectiveness of a spindle power signal for tool condition monitoring in machining processes. Int J Prod Res 42:2679–2691

    Article  Google Scholar 

Download references

Acknowledgments

The results presented in this paper were obtained within the research project “Maschinenzustandsbasierte Verfügbarkeitsdienstleistungen für hochproduktive Fertigungsanlagen (Make-it)”. The authors would like to thank the “Bundesministerium für Bildung und Forschung” (BMBF) and the “Projektträger Karlsruhe” (PTKA) for its financial and organizational support of this project.

Author information

Authors and Affiliations

  1. Institute of Production Engineering and Machine Tools, Leibniz Universität Hannover, An der Universität 2, 30823, Garbsen, Germany

    Berend Denkena, Peter Bluemel, Stefan Kroening & Jens Roebbing

Authors
  1. Berend Denkena
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Peter Bluemel
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Stefan Kroening
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Jens Roebbing
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Stefan Kroening.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Denkena, B., Bluemel, P., Kroening, S. et al. Condition based maintenance planning of highly productive machine tools. Prod. Eng. Res. Devel. 6, 277–285 (2012). https://doi.org/10.1007/s11740-011-0351-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11740-011-0351-9

Keywords

Search

Navigation