Skip to main content

Statistical Process Control Procedures in Relation with Reliability Engineering

  • Conference paper
Book cover Probabilistic Safety Assessment and Management

Abstract

Process maintenance is a topic of SPC (statistical process control) and of reliability engineering. In industrial practice and in academic literature these two approaches used to be considered separately. The present paper establishes a unifying framework for process maintenance and outlines perspectives for research.

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 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

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.

References

  1. Becker, R., Plaut, H., and Runge, I. Anwendungen der mathematischen Statistik auf Probleme der Massenfabrikation. Springer-Verlag, Berlin, 1927.

    MATH  Google Scholar 

  2. Shewhart, W. A. Economic Control of Quality of Manufactured Product. Van Nostrand Reinhold, Princeton, 1931.

    Google Scholar 

  3. Ramalhoto, M. F. “The Research and Education Global Network in SQM”, European Journal of Engineering Education 1999; 24: 405–413.

    Article  Google Scholar 

  4. Kennet, R., Ramalhoto. M. F. Shade, J. “A Proposal for Managing and Engineering Knowledge of Stochastics in the Quality Movement”. In Safety & Reliability-ESREL 2003. Ed. T. Bedford & P. van Gelder, Balkema Publishers, Lisse, Vol.1, pp. 881–888.

    Google Scholar 

  5. Ramalhoto, M. F., Göb, R., Pievatolo, A., Evandt, O., and Salmikukka, J. “A Scheme for Industry-Academia Interaction to Enhance Research and Development Issues”. In: Safety Reliability-ESREL 2003. Ed. T. Bedford & P. van Gelder, Balkema Publishers, Lisse, Vol..2, pp 1289–1294.

    Google Scholar 

  6. Woodall, W. H., and Montgomery, D. C. “Research Issues and Ideas in Statistical Process Control”. Journal of Quality Technology 1999; 31: 376–386.

    Google Scholar 

  7. Arnold, B. F., and Göb, R. “Sample Method and Quality Control”. In Encyclopedia of Life Support Systems, Theme Probability and Statistics, ed. by R. Viertl. Eolss Publishers, Oxford, UK, 2003.

    Google Scholar 

  8. Keats, J. B., Del Castillo, E., von Collani, E., and Saniga, E. “Economic Modeling for Statistical Process Control”. Journal of Quality Technology 1997; 29: 376–386.

    Google Scholar 

  9. Costa, A. F. B. “X Charts with Variable Parameters”. Journal of Quality Technology, 1999; 31: 408–416.

    Google Scholar 

  10. Göb, R., Beichelt, F., Dräger, K., Ramalhoto, M. F., and Schneidemann, H. “Process Maintenance from the Point of View of Reliability Theory and of SPC”. Technical Reports of WRQC, No. 51, University of Würzburg, 1995.

    Google Scholar 

  11. Ascher, H., and Feingold, H. Repairable Systems Reliability — Modelling, Inference, Misconceptions and Their Causes. Marcel Dekker, New York and Basel, 1984.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag London

About this paper

Cite this paper

Ramalhoto, M.F., Göb, R., Pievatolo, A., Evandt, O. (2004). Statistical Process Control Procedures in Relation with Reliability Engineering. In: Spitzer, C., Schmocker, U., Dang, V.N. (eds) Probabilistic Safety Assessment and Management. Springer, London. https://doi.org/10.1007/978-0-85729-410-4_488

Download citation

  • DOI: https://doi.org/10.1007/978-0-85729-410-4_488

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-1057-6

  • Online ISBN: 978-0-85729-410-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics