CONSTRUCTION OF QUALITY CONTROL CHARTS BY USING PROBABILITY AND FUZZY APPROACHES AND AN APPLICATION IN A TEXTILE COMPANY

?rfan ERTU?RUL

Esra AYTAÇ

Pamukkale University, Faculty of Economics and Administrative Sciences,

Department of Business Administration, 20070, Denizli, Turkey

Phone: 0 258 213 40 30 -1204, Fax: 0 258 213 40 39

e-mail addresses:  Địa chỉ email này đã được bảo vệ từ spam bots, bạn cần kích hoạt Javascript để xem nó. , Địa chỉ email này đã được bảo vệ từ spam bots, bạn cần kích hoạt Javascript để xem nó.

PT 03

ABSTRACT

A method that uses statistical techniques to monitor and control product quality is called statistical process control (SPC), where control charts are test tools frequently used for monitoring the manufacturing process. In this study, statistical quality control and the fuzzy set theory are aimed to combine.

As known, fuzzy sets and fuzzy logic are powerful mathematical tools for modeling uncertain systems in industry, nature and humanity; and facilitators for common-sense reasoning in decision making in the absence of complete and precise information.

In this basis for a textile firm for monitoring the yarn quality, control charts proposed by Wang and Raz are constructed according to fuzzy theory by considering the quality in terms of grades of conformance as opposed to absolute conformance and nonconformance.

And then with the same data for textile company, the control chart based on probability theory is constructed. The results of control charts based on two different approaches are compared. It’s seen that fuzzy theory performs better than probability theory in monitoring the product quality.

Keywords: Statistical Quality Control, Fuzzy Logic, Quality Control Charts, Fuzzy Quality

                    Control Charts