编辑: yyy888555 | 2018-11-25 |
3 期 计算机集成制造系统 Vol.
17 No.
3 2
0 1
1 年3月Computer Integrated Manufacturing Systems Mar.
2 0
1 1 文章编号: 1006- 5911( 2011) 03- 0477-
10 收稿日期:
2010 08 02;
修订日期:
2010 11 13.Received
02 Aug. 2010;
accepted
13 Nov. 2010. 基金项目: 国家自然科学基金资助项目( 51005012, 61074144) ;
中央高校基本科研业务费专项资金资助项目;
教育部博士点基金(
20101102 110009) ;
国家
863 计划资助项目.Foundation items: Project supported by the National Natural Science Foundation, China( No. 51005012, 61074144) , the Fundamental Research Funds for the Central U niversities, China, the Doctoral Fund of Ministry of Edu cation, China( No. 20101102110009) , and the National H igh T ech. R&
D Program, China. 云制造特征及云服务组合关键问题研究 陶飞1,
2 , 张霖1,
2 , 郭华1,
2 , 罗永亮1,
2 , 任磊1,
2 ( 1. 北京航空航天大学 自动化科学与电气工程学院, 北京 100191;
2. 北京航空航天大学 复杂产品先进制造系统教育部工程研究中心, 北京 100191) 摘要: 为实现基于知识的制造资源和制造能力的共享与协同, 实现云制造系统中资源服务的增值和增效, 在 分析云制造典型特征后, 对云制造中的资源、 制造云服务、 制造云的关系进行了阐述.在此基础上, 设计了制造云 服务管理原型系统功能结构, 对基于云制造全生命周期运行的云服务组合需求进行了阐述.对云服务组合建模/ 描述和一致性检查、 云服务关联关系、 云服务组合柔性、 组合网络及其动力学特性、 云服务组合建模与评估、 组合优 选等实现云服务组合的关键问题进行了研究, 为未来实现高效智能化的云制造服务管理提供理论支持. 关键词: 云制造;
云服务;
服务组合;
服务组合网络;
组合关联关系;
组合柔性 中图分类号: T P391 文献标志码: A Typical characteristics of cloud manufacturing and several key issues of cloud service composition TA O Fei 1,
2 , ZH A N G L in1,
2 , GUO H ua1,
2 , L UO Yong liang 1,
2 , REN Lei 1,
2 ( 1. School of Automation Science &
Elect rical Engineering, Beihang U niversit y, Beijing 100191, China;
2. Engineering Research Center of Complex Product Advanced Manufacturing Systems, Minist ry of Education, Beihang University, Beijing 100191, China) Abstract: In order t o realize sharing and collaboration of manufacturing resources and manufacturing ability based on know ledge and to realize added value of manufacturing resource, through analyzing t ypical characteristics of Cloud Manufacturing( CMfg) , relationships among resources, manufacturing cloud service and manufacturing cloud were discussed. Function structure of CMfg service management prototype system w as designed. Requirements of Cloud Service Composition( CSC) in w hole lifecycle implementation of CMfg were studied. Several key issues for CSC, in cluding modeling, description and consistency check, correlation relationship, composition flexibilit y, composition netw ork as w ell as its dynamic characteristics, modeling &
evaluation, and optimal selection were studied in particu lar. It provided theoretical foundation for realizing effective and intelligent CMfg service management. Key words:cloud manufacturing;
cloud service;
service composition;
service composition netw ork;
composition cor relation relat ionship;