Current Proceedings on Technology

Yazarlar: Csaba Hegedűs, Attila Katona, Zsolt T. Kosztyán

Konular:-

Anahtar Kelimeler:Statistical process control (SPC),Control charts,Measurement uncertainty,Risk.

Özet: The widely used classical control charts investigate manufacturing and service processes and signal their non-conformance with reliability centered approach. The application of each type of these charts has constraints that should be considered in order to get the proper result in the quality level. The violation of the constraints increase the probability of the decision errors and decrease the quality level, hence the profit associated with the decision. In this paper the authors propose a method that guides the decision maker in the selection of the control chart that fits the best to the investigated manufacturing or service process. The proposed method also modifies the selected control chart to take the uncertainty of measurement and estimation, and consequences of the decision into account. In the use of these new risk-based control charts the sample size, the frequency of sampling, and the alteration of the control limits are determined in order to maximize the expected profit of the decision.

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