Improving and Maintaining Process Profitability

  • Elart von Collani
  • Gudrun Kiesmüller

Abstract

The profitability of a production process may suffer from disturbances and, under certain circumstances, from inappropriate process adjustment, which may lead to either inferior quality of the output or to process failure. In order to reach and keep profitability on a high level, various actions such as adjustments, sampling, inspections, different level of repairs, replacements, and renewals are undertaken according to process monitoring policies and maintenance policies, respectively. Each of the two policies consists of rules about which action should be undertaken in which situation. Generally, the policies are designed and implemented independently; although, their efficiency is mutually dependent. Moreover, the policies are selected either heuristically or according to criteria which reflect only implicitly the overall aim, process profitability. In this paper, an integrated approach is developed which enables an objective-oriented joint design of monitoring and maintenance policies.

Keywords

Production process process control homogeneous poisson process profitability 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. [1]
    Barlow,R.E. and Proschan F. Statistische Theorie der Zu-verlässigkeit, Harri Deutsch, Frankfurt/Main, 1978.Google Scholar
  2. [2]
    Beichelt, F. and Franken P. Zuverlässigkeit und Instandhaltung, Hanser, München, 1984.Google Scholar
  3. [3]
    Box and Luce Statistical Control by Monitoring and Feedback Adjustment, Wiley, New York, 1997.Google Scholar
  4. [4]
    Collani, E.v. A Simple Procedure to Determine the Economic Design of an X-Control Chart. Journal of Quality Technology, 18 No. 3 (1986) 145–151.Google Scholar
  5. [5]
    Collani, E.v. The Economic Design of Control Charts, Teubner, Stuttgart, 1989.Google Scholar
  6. [6]
    Collani, E.v. Determination of the Economic Design of Control Charts Simplified. Eds. Al-Sultan K.S. and Rahim, M.A.: Optimization in Quality Control, Kluwer Academic Publishers, Boston 1997.Google Scholar
  7. [7]
    Collani, E.v. Control of Production Processes Subject to Random Shocks. Annals of Operation Research, 91 (1999) 289–404.CrossRefGoogle Scholar
  8. [8]
    Collani,E.v., Saniga, E.M. and Weigand, C. Economic Adjustment Designs for x Control Charts. IIE Transactions, 26 No.10 (1994) 37–43.CrossRefGoogle Scholar
  9. [9]
    Collani, E.v. and Weigand, C. Economic Machine Adjustment in the Case of Product Screening. Statistical Papers, 33 (1992) 171–184.CrossRefGoogle Scholar
  10. [10]
    Dumitrescu, M. Mathematical Basis of Process Monitoring, ASU Technical Papers Series, 08–6. Quality and Reliability Engineering Group, Arizona State University, 1998.Google Scholar
  11. [11]
    Prahm, P. Combining Economic Design of X-Charts and Block Replacement Under Weibull Shock Models. Economic Quality Control, 10 No. 2 (1995) 77–115.Google Scholar
  12. [12]
    Ho, C. and Case, K.E. Economic Design of Control Charts: A Literature Review for 1981–1991. Journal of Quality Technology, 26 No. 1 (1994) 39–53.Google Scholar
  13. [13]
    Kiesmüller, G. Controlling a Process with Three Different States. Advances in Stochastic Models for Reliability, Quality and Saftey. Birkhäuser Verlag, Boston, 1998.Google Scholar
  14. [14]
    Kiesmüller, G. Most Profitable process control — An Integrated Approach. Economic Quality Control, 14 (1999) 5–18.Google Scholar
  15. [15]
    Kiesmüller, G. Most Profitable Inspection Policies. Economic Quality Control, 14 (1999) 65–83.Google Scholar
  16. [16]
    Kiesmüller, G. Most Profitable Sampling Policies. Economic Quality Control 14 (1999) 105–122.Google Scholar
  17. [17]
    Lorenzen, T.J. and Vance, L. C. Th Economic Design of Control Charts: A Unified Approach. Technometrics 28 (1986) 3–10.CrossRefGoogle Scholar
  18. [18]
    Montgomery, D.C. The Economic Design of Control Charts: A Review and Literature Survey. Journal of Quality Technology, 12 (1980) 75–87.Google Scholar
  19. [19]
    Rahim, M.A. Economic Design of X Control Charts Assuming Weibull In-Control Times. Journal of Quality Technology, 225 (1993) 296–305.Google Scholar
  20. [20]
    Rahim, M.A. and Banerjee P.K. A Generalized Model for the Economic Design of x-Control Charts for Production systems with increasing Failure Rate and Early Replacement. Naval Research Logistics, 40 (1993) 787–809.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2001

Authors and Affiliations

  • Elart von Collani
    • 1
  • Gudrun Kiesmüller
    • 2
  1. 1.Institut fur Angewandte Mathematik und StatistikWurzburgGermany
  2. 2.Faculty of Technology ManagementEindhoven University of TechnologyMB EindhovenThe Netherlands

Personalised recommendations