کاربرد داده‌کاوی در مهندسی تولید محصول از طراحی مفهومی تا تولید نهایی

نوع مقاله: مفهومی

نویسندگان

1 دانشجوی دکتری مهندسی صنایع دانشگاه علم و صنعت ایران

2 استاد دانشکده مهندسی صنایع دانشگاه علم و صنعت ایران

چکیده

امروزه، در دنیای تولید، حجم زیادی از اطلاعات شامل طراحی محصول و فرآیند، مونتاژ، برنامه‌ریزی مواد، کنترل کیفیت، برنامه‌ریزی، تعمیر و نگهداری، تشخیص خطا و غیره در سیستم‌های مدیریت پایگاه داده و انبار داده جمع‌آوری می‌شود. بنابراین استفاده از داده‌ کاوی در حوزه­ های مختلف فرآیند تولید، در سال­های اخیر با رشد چشمگیری روبه­ رو بوده است. این مقاله به بررسی مطالعات صورت گرفته در مورد کشف دانش و کاربردهای داده‌ کاوی به عنوان یک ابزار مهم در حوزه گسترده تولید می‌پردازد. هدف از این تحقیق، ارائه چارچوب جدیدی برای تلاش‌های تحقیقاتی انجام گرفته در رابطه با شیوه‌های فعلی کاربرد داده‌ کاوی در تولید براساس نوع دانش استخراج شده، روش مورد استفاده و در نتیجه شناسایی زمینه‌های امید بخش برای مطالعه است. مقالات بررسی شده، کاربرد داده‌ کاوی در فرآیند تولید را در چهار دسته مشتمل بر تعیین مشخصات و توصیف، پیش‌بینی، دسته­ بندی و خوشه‌بندی تقسیم­بندی می­ کنند. در این بررسی، کاربردهای هر یک از ابزار­های ذکر شده در بخش­های مختلف تولید یک محصول یا ارائه خدمت معرفی می­ شود تا زمینه گسترش تحقیقات آتی فراهم شود

کلیدواژه‌ها


عنوان مقاله [English]

Application of Data Mining in Engineering of Product Manufacturing from Conceptual Design to Final Production

نویسندگان [English]

  • Aghdas Badiee 1
  • Mehdi Ghazanfari 2
1 Ph.D. Candidate of Industrial Engineering, Iran University of Science and Technology
2 Professor, Department of Industrial Engineering, Iran University of Science and Technology
چکیده [English]

In today's world of production, a large amount of information, including product and process design, assembling, material planning, quality control, planning, repair, maintenance, error detection, etc., is collected in database management systems and data warehouses. Therefore, the use of data mining in different areas of the production process has been growing dramatically in recent years. This paper reviews the studies on the discovery of knowledge and data mining applications as an important tool in the wider field of production. The purpose of this research is to provide a new framework for research efforts in relation to the current methods of using data mining in production based on the type of extracted knowledge, the used method and thus the identification of promising fields for study. The reviewed articles divide the application of data mining in the production process into four categories, including specifying, predicting, classifying and clustering. In this study, the applications of each tool mentioned in the different sections of the production of a product or service are introduced in order to expand the scope of future research

کلیدواژه‌ها [English]

  • Data Mining
  • Manufacturing
  • Prediction
  • Classification
  • Clustering

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