دانلود مقاله ISI انگلیسی شماره 139076
ترجمه فارسی عنوان مقاله

در مورد استفاده از خوشه بندی متن در روند تغییر مهندسی

عنوان انگلیسی
On the Application of Text Clustering in Engineering Change Process
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
139076 2017 6 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Procedia CIRP, Volume 62, 2017, Pages 187-192

ترجمه کلمات کلیدی
استخراج متن، درخواست تغییر مهندسی، تغییر مدیریت مهندسی،
کلمات کلیدی انگلیسی
Text mining; Engineering change requests; Engineering change management;
پیش نمایش مقاله
پیش نمایش مقاله  در مورد استفاده از خوشه بندی متن در روند تغییر مهندسی

چکیده انگلیسی

In modern industry, the development of complex products involves engineering changes that frequently require redesigning or altering the products or their components. In an Engineering Change process, Engineering Change Requests (ECRs) are natural language written texts exchanged among process operators. ECRs describe the required change on a product or a component and the solution. After the change implementation, ECRs are stored but never consulted, missing opportunities to learn from previous projects. This paper explores the application of text clustering to natural language texts written during the Engineering Change process in industry. In detail, the use of Self Organizing Map (SOM) to the problem of unsupervised clustering of ECR texts is explored. A case study is presented in which ECRs collected during the Engineering Change process of a railways industry are analysed. The results show that SOM text clustering has a good potential to improve overall knowledge reuse and exploitation.