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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Barlow,R.E. and Proschan F. Statistische Theorie der Zu-verlässigkeit, Harri Deutsch, Frankfurt/Main, 1978.
Beichelt, F. and Franken P. Zuverlässigkeit und Instandhaltung, Hanser, München, 1984.
Box and Luce Statistical Control by Monitoring and Feedback Adjustment, Wiley, New York, 1997.
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.
Collani, E.v. The Economic Design of Control Charts, Teubner, Stuttgart, 1989.
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.
Collani, E.v. Control of Production Processes Subject to Random Shocks. Annals of Operation Research, 91 (1999) 289–404.
Collani,E.v., Saniga, E.M. and Weigand, C. Economic Adjustment Designs for x Control Charts. IIE Transactions, 26 No.10 (1994) 37–43.
Collani, E.v. and Weigand, C. Economic Machine Adjustment in the Case of Product Screening. Statistical Papers, 33 (1992) 171–184.
Dumitrescu, M. Mathematical Basis of Process Monitoring, ASU Technical Papers Series, 08–6. Quality and Reliability Engineering Group, Arizona State University, 1998.
Prahm, P. Combining Economic Design of X-Charts and Block Replacement Under Weibull Shock Models. Economic Quality Control, 10 No. 2 (1995) 77–115.
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.
Kiesmüller, G. Controlling a Process with Three Different States. Advances in Stochastic Models for Reliability, Quality and Saftey. Birkhäuser Verlag, Boston, 1998.
Kiesmüller, G. Most Profitable process control — An Integrated Approach. Economic Quality Control, 14 (1999) 5–18.
Kiesmüller, G. Most Profitable Inspection Policies. Economic Quality Control, 14 (1999) 65–83.
Kiesmüller, G. Most Profitable Sampling Policies. Economic Quality Control 14 (1999) 105–122.
Lorenzen, T.J. and Vance, L. C. Th Economic Design of Control Charts: A Unified Approach. Technometrics 28 (1986) 3–10.
Montgomery, D.C. The Economic Design of Control Charts: A Review and Literature Survey. Journal of Quality Technology, 12 (1980) 75–87.
Rahim, M.A. Economic Design of X Control Charts Assuming Weibull In-Control Times. Journal of Quality Technology, 225 (1993) 296–305.
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.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer Science+Business Media New York
About this chapter
Cite this chapter
von Collani, E., Kiesmüller, G. (2001). Improving and Maintaining Process Profitability. In: Rahim, M.A., Ben-Daya, M. (eds) Integrated Models in Production Planning, Inventory, Quality, and Maintenance. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1635-4_12
Download citation
DOI: https://doi.org/10.1007/978-1-4615-1635-4_12
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-5652-3
Online ISBN: 978-1-4615-1635-4
eBook Packages: Springer Book Archive