Abstract

A simple but effective method to aid in the design of X̄ control schemes is presented. Subgroup size, sampling frequency, and control limit selection is combined via a methodology that determines the optimum control scheme. Average production length (APL) is introduced as the criterion for measuring control scheme performance. APL is the total amount of production between a shift in the process mean and signal of the shift, a measure of the effectiveness of a control scheme in maintaining process characteristics as close to target as possible. The methodology recognizes that statistical process control (SPC) involves resource constraints which limit the rate at which a process can be sampled. A model is developed with a sampling rate and maximum false alarm rate as inputs to determine the optimum subgroup size, sampling frequency, and control limits as measured by APL. The methodology includes key elements of control scheme design without the complexity of economic models. The performance of our design method is compared to routine application of classical X̄ chart guidelines.

Original languageEnglish (US)
Pages (from-to)214-225
Number of pages12
JournalJournal of Quality Technology
Volume27
Issue number3
StatePublished - Jul 1995

Fingerprint

Statistical Process Control
Statistical process control
Sampling
Methodology
Subgroup
Process Mean
Control Constraints
False Alarm Rate
Resource Constraints
Economic Model
Design
Chart
Design Method
Economics
Target

ASJC Scopus subject areas

  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering
  • Statistics and Probability

Cite this

Bert Keats, J., Miskulin, J. D., & Runger, G. (1995). Statistical process control scheme design. Journal of Quality Technology, 27(3), 214-225.

Statistical process control scheme design. / Bert Keats, J.; Miskulin, John D.; Runger, George.

In: Journal of Quality Technology, Vol. 27, No. 3, 07.1995, p. 214-225.

Research output: Contribution to journalArticle

Bert Keats, J, Miskulin, JD & Runger, G 1995, 'Statistical process control scheme design', Journal of Quality Technology, vol. 27, no. 3, pp. 214-225.
Bert Keats J, Miskulin JD, Runger G. Statistical process control scheme design. Journal of Quality Technology. 1995 Jul;27(3):214-225.
Bert Keats, J. ; Miskulin, John D. ; Runger, George. / Statistical process control scheme design. In: Journal of Quality Technology. 1995 ; Vol. 27, No. 3. pp. 214-225.
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