Affiliation:
1. Institute of Manufacturing Technologies, Faculty of Mechanical and Industrial Engineering, Warsaw University of Technology, 85 Narbutta Str., 02-524 Warsaw, Poland
Abstract
An extremely important issue in quality management is monitoring and diagnosing processes, and, subsequently, supervising them using so-called control charts. In typical production processes, charts with constant parameters are commonly used, such as x-R, x-s, CUSUM, EWMA and others, which, in most cases, are effective tools for process stability evaluation. Charts considered untypical (in statistical process control) are those with variable sample sizes, variable sampling intervals and/or variable control limits. Such charts are used when process analysis based on standard, well-known charts may lead to serious errors. Modern control charts are a response to the requirements of Industry 4.0 and are an excellent tool for supervising production processes. Their use together with Cp and Cpk indices and other process capability indices is a starting point for process improvement. The methodology of nonstandard charts is inadequately recognized and rarely used in practice. The theory of their design and examples of their use will be presented and characterized in this paper.
Subject
Process Chemistry and Technology,Chemical Engineering (miscellaneous),Bioengineering
Reference32 articles.
1. An enhanced approach for the progressive mean control charts;Abbas;Qual. Reliab. Eng. Int.,2018
2. Application of statistical control charts to discriminate transformer winding defects;Abbasi;Electr. Power Syst. Res.,2021
3. Determination of optimal design parameters of moving average control charts;Chen;Int. J. Adv. Manuf.,2003
4. Montgomery, D.C. (2005). Introduction to Statistical Quality Control, John Wiley & Sons, Inc.. [5th ed.].
5. Smith, G.M. (2004). Statistical Process Control and Quality Improvement, Pearson Education.