摘要
实施承包商集成技术信息服务(Contractor integrated technical information service,简称CITIS)的目的是提供一个公共的信息共享平台,实现协同制造企业间的数据集成和交换。工作流技术是解决CITIS数据集成和数据自动化传递的一个重要手段。如何对工作流服务资源进行优化配置,成为了工作流在CITIS环境下优化业务过程的一个重要内容。以服务性能、价格成本、交货期、技术水平和风险防范为目标,借助模糊BP神经网络来求解多目标的工作流服务资源配置问题。通过MATLAB7.1编程仿真,说明此方法是收敛的和可行的。
The objective of implementing Contractor integrated technical information service(CITIS) is to provide a common information sharing platform,and to achieve the integration and exchange of data among collaborative manufacturing enterprises.Workflow technology is an important means to implementing data integration and data transmission automation of CITIS.How to optimize the services resources became an important research content about optimized business process in CITIS.The services performance,costs,date of delivery,technical capability and risk-preventing are regarded as evaluation standard,then the multi-objective resource deployment problem of workflow in CITIS is solved by using BP neural network and fuzzy math.The availability and feasibility of the approach are illustrated by the simulation results.
出处
《机械设计与制造》
北大核心
2010年第12期248-250,共3页
Machinery Design & Manufacture
基金
广州市科技计划项目(2007C13G0021)
广东省自然科学基金项目(06023129)
