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1 Kawa M. Jamal Rashid, 2 Suzan S. Haydar
Department of Statistics, School of Administrations and Economics, Sulamani University
DOI: https://doi.org/10.17656/jzs.10300
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.
Keywords: Quality Control- Process, FM chart, P- chart, variable sampling size, linguistic terms and
Fuzzy control charts and EWMA-chart.
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