Evaluation of Adjustment Strategies for Adaptive Shewhart Quality Control Charts 2003-01-2836
The present paper valuates the statistical and economic performance of Adaptive Shewhart quality control chart strategies which allow at least one of the design parameters (sample size n, sampling interval h and control limit coefficient k) to change in real time based on the actual values of the sample statistics. The automation of production processes more and more often requires a real-time analysis of control charts to make prompt corrections to the process under study. So, by evaluation of the different control chart adjustments one can assure better consistent upgrading of reliability through improved quality control, which provides an economic mean for attaining the required product-goals.
Citation: Brun, A. and Novakova, G., "Evaluation of Adjustment Strategies for Adaptive Shewhart Quality Control Charts," SAE Technical Paper 2003-01-2836, 2003, https://doi.org/10.4271/2003-01-2836. Download Citation
Author(s):
Alessandro Brun, Galia Novakova
Affiliated:
Department of Management, Economics and Industrial Engineering, Polytechnic of Milan, Italy
Pages: 6
Event:
International Body Engineering Conference & Exposition
ISSN:
0148-7191
e-ISSN:
2688-3627
Related Topics:
Quality control
Statistical analysis
Reliability
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