Using a Fuzzy Weighted Association Rule Algorithm For Defect Analysis

سال انتشار: 1389
محل انتشار: هفتمین کنفرانس بین المللی مهندسی صنایع
کد COI اختصاصی: IIEC07_259
زبان مقاله: انگلیسی
تعداد مشاهده: 1670

دانلود فایل این مقاله

نویسندگان

Seyed Ali Asghar Mostafavi Sabet

Islamic Azad University, Science and Research Branch

Hossein Sabbari

Msc, Industrial engineering

Mohamad reza Salehi rad

Assistant professor, Statistics

چکیده

Manufacturing organizations have to improve their products quality continuously to remain in today‟s competitive production environment. The work in this paper has presented a method to identify unknown patterns between manufacturing process parameters and the defects of output products, and also identify the relationships among the defects. Discovery of these patterns helps practitioners to achieve two main goals: first, identification of those process parameters that can be used to control and reduce output product‟s defects; and second, identification of those defects that have very probably common roots. In this paper, a fuzzy data mining algorithm is used to discover fuzzy association rules for weighted quantitative data. Application of the association rules algorithm developed in this paper is illustrated with a net making process in a netting plant. After implementing this proposed method, a significant reduction in the rate of the defects in produced nets was observed.

کلیدواژه ها

Data mining, Association rules, Defect, Fuzzy sets, Root cause analysis

مقالات مرتبط جدید

اطلاعات بیشتر در مورد COI

COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.

کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.