کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5081374 | 1477598 | 2011 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Using least squares support vector machines for the airframe structures manufacturing cost estimation
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی صنعتی و تولید
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Using least squares support vector machines for the airframe structures manufacturing cost estimation Using least squares support vector machines for the airframe structures manufacturing cost estimation](/preview/png/5081374.png)
چکیده انگلیسی
Accurate cost estimation plays a significant role in industrial product development and production. This research applied least squares support vector machines (LS-SVM) method solving the problem of estimating the manufacturing cost for airframe structural projects. This research evaluated the estimation performance using back-propagation neural networks and statistical regression analysis. In case studies, this research considered structural weight and manufacturing complexity as the main factors in determining the manufacturing labor hour. The test results verified that the LS-SVM model can provide accurate estimation performance and outperform other methods. This research provides a feasible solution for airframe manufacture industry.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Production Economics - Volume 131, Issue 2, June 2011, Pages 701-708
Journal: International Journal of Production Economics - Volume 131, Issue 2, June 2011, Pages 701-708
نویسندگان
S. Deng, Tsung-Han Yeh,