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Alternative TitleApplication of support vector regression in prediction of due date under uncertain assemble-to-order environment
孙德厂; 史海波; 刘昶
Source Publication计算机应用
Volume33Issue:8Pages:2362-2365, 2386
Indexed ByCSCD
Contribution Rank1
Funding Organization国家科技重大专项(2011ZX02601-006)
Keyword不确定性 面向订单装配 交货期预测 支持向量回归
Other AbstractFor the issue of how to quickly estimate the accurate, reliable due date according to the order information and the features of the production system in Assembly To Order ( ATO) , a due date prediction model was constructed based on the influential mechanism analysis of the uncertainty factors. The model parameters included three parts: order release time, assembly cycle time and abnormal tardiness. Order release time was based on the availability of materials and production capacity. The assembly cycle time and abnormal tardiness were predicted by using Support Vector Regression ( SVR) method based on actual production history data. The case study shows that the predicted results of the model are close to actual due date and it can be used to guide the order's delivery time consultation.
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Document Type期刊论文
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GB/T 7714
孙德厂,史海波,刘昶. 支持向量回归在不确定面向订单装配环境下交货期预测中的应用[J]. 计算机应用,2013,33(8):2362-2365, 2386.
APA 孙德厂,史海波,&刘昶.(2013).支持向量回归在不确定面向订单装配环境下交货期预测中的应用.计算机应用,33(8),2362-2365, 2386.
MLA 孙德厂,et al."支持向量回归在不确定面向订单装配环境下交货期预测中的应用".计算机应用 33.8(2013):2362-2365, 2386.
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