| 基于BP神经网络多品种、小批量、订单式的生产交货期预测问题研究 |
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| 引用本文： | 张毕西,谢祥添. 基于BP神经网络多品种、小批量、订单式的生产交货期预测问题研究[J]. 价值工程, 2007, 26(8): 11-13 |
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| 作者姓名： | 张毕西 谢祥添 |
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| 作者单位： | 广东工业大学经管学院,广州,510520 |
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| 基金项目： | 国家自然科学基金;广东省自然科学基金 |
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| 摘 要： | 利用BP神经网络具有自适应、自学习和高度容错性的特点,尤其具有对非线性、离散性的动态系统进行模拟仿真的能力,对多品种、小批量、订单式的生产交货期进行预测。同时把它嵌入ERP的生产系统模块中,建立起生产交货期的预测模型。仿真实验表明,该方法可行。
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| 关 键 词： | 生产交货期 ERP BP神经网络 |
| 文章编号： | 1006-4311（2007）08-0011-03 |
Produced Delivery Date Forecast Problems Studying About Multiple Products Small lot Order form Basing on BP Neural Networks |
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| Zhang Bixi,Xie Xiangtian. Produced Delivery Date Forecast Problems Studying About Multiple Products Small lot Order form Basing on BP Neural Networks[J]. Value Engineering, 2007, 26(8): 11-13 |
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| Authors: | Zhang Bixi Xie Xiangtian |
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| Affiliation: | Department of Economy and Management, Guangdong University of Technology, Guangzhou 510520, China |
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| Abstract: | The paper makes use of the characteristics of BP neural networks such as self-adapt,self-study and altitudinal fault tolerance,especially having the ability of simulation for the nonlinear,discreteness dynamic system,to forecast the produced delivery date of the multiple products,small lot,order form.At the same time,embedding it in the produced system of ERP to build up the forecast model of produced delivery date.The simulation results show the system is effective. |
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| Keywords: | ERP |
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