Construction of control charts by using Fuzzy Multinomial -FM and EWMA Chart “Comparative study"

Authors

  • Kawa M. Jamal Rashid Department of Statistics, School of Administrations and Economics, University of Sulaimani, Kurdistan Region, Iraq. Author
  • Suzan S. Haydar Department of Statistics, School of Administrations and Economics, University of Sulaimani, Kurdistan Region, Iraq. Author

DOI:

https://doi.org/10.17656/jzs.10300

Keywords:

Quality Control- Process, FM chart, P- chart, Variable sampling size, Linguistic terms and Fuzzy control charts and EWMA-chart

Abstract

The control chart is a graphical tool for monitoring the activities of a manufacturing process. It plays a vital role in Statistical Process Control (SPC). These charts help us to take correct decisions. The use of statistical methods in statistical quality control has a long history. The P- chart plays the important role in controlling the fraction of nonconforming article produced. The use of fuzzy has an effective role with inaccurate data. Great efforts have been made in the direction of combining the Quality Control with fuzzy concept. Therefore; Fuzzy control chart are connecting link between fuzzy logic and Quality Control technique, the goal of this connection is to combine the advantage of both disciplines in order to process deal with linguistic concepts and classified each item in more than two categories such as bad, medium, good, very good and excellent. This paper presents an extension of standard control chart to deal with linguistic categories and the variable sampling size (VSS), it is named as fuzzy multinomial charts (FM-chart), and we illustrate this approach by numerical example. This paper is comparing FM-chart with the conventional p – chart and EWMA Control Chart. It is seen that FM chart with VSS performs better than the conventional charts, this method is more sensitive, accurate and more economic for assisting decision maker to control the operation system as early time, especially when there is a change in sample sizes.

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Published

2014-07-03

How to Cite

Construction of control charts by using Fuzzy Multinomial -FM and EWMA Chart “Comparative study". (2014). Journal of Zankoy Sulaimani - Part A, 16(3), 21-26. https://doi.org/10.17656/jzs.10300