摘要
神经网络技术已被成功地应用在许多商业领域，包括供应链管理。本文首次系统地总结了神经网络技术在供应健管理中的应用。首先介绍了神经网络的本质和特性，接着详细介绍了神经网络技术在供应链管理中的5个方面的应用：优化、预测、决策支持、建模和仿真和全局化管理；然后运用BP型神经网络对上海市场自行车的需求量进行了预测；最后指出阻碍神经网络技术发展的两个障碍以及神经网络技术发展的方向。
Neural Network Technology (NNT) has been successfully applied to many business fields, including as of supply chain management (SCM). The applicaion of NNT in SCM is summerized in this paper.First, the nature and chareteristics of NNT are introduced, and second, the applicaions of NNT in SCM: including optimisation, forecasting , decision-making support, modeling and simulation, and management, are described . Third , BP neural network is used to predict the demands of bicycle market in Shanghai . Finally, the two factors obstructing the development of NNT and the direction of NNT development are indieated.
出处
《工业工程与管理》
2000年第3期41-44,共4页
Industrial Engineering and Management
关键词
神经网络
神经网络技术
供应链管理
企业
neural network
neural network technology (NNT)
supply chain management(SCM)
