دانلود مقاله ISI انگلیسی شماره 46634
ترجمه فارسی عنوان مقاله

چارچوب برآورد هزینه های ترکیبی بر اساس روش های داده کاوی ویژگی گرا

عنوان انگلیسی
A hybrid cost estimation framework based on feature-oriented data mining approach ☆
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
46634 2015 15 صفحه PDF
منبع

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

Journal : Advanced Engineering Informatics, Volume 29, Issue 3, August 2015, Pages 633–647

ترجمه کلمات کلیدی
برآورد هزینه - مدل سازی از ویژگی - داده کاوی - ERP - ویژگی های جوشکاری
کلمات کلیدی انگلیسی
Cost estimation; Feature modeling; Data mining; ERP; Welding feature
پیش نمایش مقاله
پیش نمایش مقاله  چارچوب برآورد هزینه های ترکیبی بر اساس روش های داده کاوی ویژگی گرا

چکیده انگلیسی

This paper presents an informatics framework to apply feature-based engineering concept for cost estimation supported with data mining algorithms. The purpose of this research work is to provide a practical procedure for more accurate cost estimation by using the commonly available manufacturing process data associated with ERP systems. The proposed method combines linear regression and data-mining techniques, leverages the unique strengths of the both, and creates a mechanism to discover cost features. The final estimation function takes the user’s confidence level over each member technique into consideration such that the application of the method can phase in gradually in reality by building up the data mining capability. A case study demonstrates the proposed framework and compares the results from empirical cost prediction and data mining. The case study results indicate that the combined method is flexible and promising for determining the costs of the example welding features. With the result comparison between the empirical prediction and five different data mining algorithms, the ANN algorithm shows to be the most accurate for welding operations.