DESIGN OF DEMERIT CONTROL CHARTS WITH FUZZY C-MEANS CLUSTERING AND AN APPLICATION IN TEXTILE SECTOR

Authors : Hülya YILMAZ, Seda YANIK

Pages : 117-125

Doi:10.32710/tekstilvekonfeksiyon.598582

View : 55 | Download : 14

Publication Date : 2020-06-28

Article Type : Research Paper

Abstract :Companies use process control to detect and prevent defect rct s in production. One of the most commonly used technique is control charts. To control multiple dimensions of quality on one control chart, multivariable control charts, control charts for attributes and demerit control charts are widely used. In this study, we use demerit control charts to monitor multiple defect types and propose to employ fuzzy c-means method to cluster the defect types based on pre-specified criteria. The criteria are chosen to represent the severity of defect types and specified as: insert ignore into journalissuearticles values(i); number of scraps, insert ignore into journalissuearticles values(ii); number of reworks and insert ignore into journalissuearticles values(iii); time of rework. In order to test the proposed method, u and c attribute control charts and demerit control charts for six instances in a textile company are used and compared. It is observed that both the scrap and the repair rates are decreased when the proposed method of demerit control chart is used.
Keywords : Attribute control charts, Demerit control charts, Fuzzy clustering, Fuzzy demerit control charts, Process control

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