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人工神经网络在预测服装企业安全库存的应用
引用本文:周斌,张瑞林,童陈灏,伊蔚,楼文彦.人工神经网络在预测服装企业安全库存的应用[J].计算机工程与设计,2005,26(12):3453-3455.
作者姓名:周斌  张瑞林  童陈灏  伊蔚  楼文彦
作者单位:1. 浙江理工大学,软件工程研究所,浙江,杭州,310018
2. 北京航空航天大学,北京,100083
3. 浙江大学,浙江,杭州,310027
摘    要:安全库存是一种额外持有的库存,它作为一种缓冲器用来补偿在订货提前期内实际需求超过期望需求量或实际提前期超过期望提前期所产生的需求。在服装企业中一般凭经验来设定安全库存,但实际效果不佳,应用人工神经网络,建立BP神经网络模型,用多个影响安全库存的指标及安全库存对网络进行训练,以达到对安全库存量预测的目的,经验证和预测效果十分理想。

关 键 词:人工神经网络  BP模型  安全库存
文章编号:1000-7024(2005)12-3453-03
收稿时间:2004-09-07
修稿时间:2004-09-07

Application of artificial neural networks in forecasting safety goods stockpile of dressing corporations
ZHOU Bin,ZHANG Rui-lin,TONG Chen-hao,YI Wei,LOU Wen-yan.Application of artificial neural networks in forecasting safety goods stockpile of dressing corporations[J].Computer Engineering and Design,2005,26(12):3453-3455.
Authors:ZHOU Bin  ZHANG Rui-lin  TONG Chen-hao  YI Wei  LOU Wen-yan
Affiliation:1. Institute of Software Engineering, Zhejiang Science and Technology University, Hangzhou 310018, China; 2. Beijing Universitv of Aeronautics and Astronautics, Beijing 100083, China; 3. Zhejiang University, Hangzhou 310027, China
Abstract:Safety-goods-stockpile is a buffer to compensate the storage when actual needs exceed anticipant demands. Some dressing corporations set up Safety Goods Stockpile based on the experience, which leads to an undesirable effect. The goal of forecast Safety Goods Stockpile can be achieved by using Artificial Neural Networks to structure BP model and training the net with Safety Goods Stocknile and many elements which affect the Safety Goods Stockpile. Application to this experiment is very effective.
Keywords:artificial neural networks  BP model  safety goods stockpile
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