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Product Assembly Cost Estimation Based on Artificial Neural Networks
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作者 HE Shan, XIONG Guang leng, ZENG Qin liang, FAN Wen hui The National CIMS/ERC, Tsinghua University, Beijing 100084, P.R.China YUE Yu hua, ZHANG Chun heng, BAO Jian wen Qiqihaer Railway Rolling Stocks Co. Ltd., Qiqihaer, Heilongjiang 161002, P.R.C 《International Journal of Plant Engineering and Management》 2001年第4期179-185,共7页
This paper proposes a method for assembly cost estimation in actual manufacture during the design phase using artificial neural networks(ANN). It can support the designers in cost effectiveness, then help to control t... This paper proposes a method for assembly cost estimation in actual manufacture during the design phase using artificial neural networks(ANN). It can support the designers in cost effectiveness, then help to control the total cost. The method was used in the assembly cost estimation of the crucial parts of some railway stock products. As a comparison, we use the linear regression (LR) model in the same field. The result shows that ANN model performs better than the LR model in assembly cost estimation. 展开更多
关键词 cost estimation assembly cost artificial neural network product design.
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