摘要
由于企业协同利益不一致、文化背景不同、信息技术发展不同步、信息不对称等原因,协同的结果很难判别,从企业协同的技术能力、成本管理、响应时间、产品质量、组织模式、信息基础、控制和风险分析等方面建立联盟企业之间进行异地资源的合理配置和优化组合的评价模型,并通过事例获取企业数据,进行定性和定量分析,作为神经网络的输入数据,通过隐含学习和训练,输出神经网络拟合值,并用神经网络对输出结果进行评价和排序;最后使用MATLAB6.5对算例验证其可行性。
It is different for cooperation enterprises in behalf, culture background, information and information dissymmetry. It sets up the estimation model for the alliance enterprises with configuration and optimization combined some factors such as the technology capacity, cost management, response time, product quality, organization mode, information basis, command and risk analysis. The data from case can become import data of neural networks by concealed learning and exercitation, estimated result is validated by sort value of neural networks with MATLAB6.5 platform.
关键词
神经网络
虚拟企业
动态联盟
协同设计
Neural Network
Dummy Corporation
Dnamic Alliance
Cooperation Design
