摘要
针对云制造模式下快速选择和组织相关制造资源、保证制造任务执行的问题,提出一种面向制造任务的云制造虚拟车间构造方法。该方法将制造过程抽象为制造任务执行链,链中的节点对应制造设备云服务或检验云服务,链中的有向边对应物流云服务;并通过行业域、地域和类型域来组织管理云服务,以构造规模较小的候选云服务集,同时减少功能匹配、性能匹配、价格匹配和时间匹配的计算量,达到快速构建云制造虚拟车间的目的。算例分析表明,相比其他方法,该方法能够在更短的时间内完成云服务的选择,并保证所选云服务的服务质量(QoS)在相关域中是更好的。
To quickly select and organize relevant manufacturing resources and guarantee the execution of manufacturing tasks under the cloud manufacturing mode,a construction method of cloud manufacturing virtual workshop was proposed for manufacturing tasks. In this method,the manufacturing processes were abstracted into manufacturing task execution chains,in which the nodes were corresponding to manufacturing equipment cloud services or inspection cloud services and the directed edges were corresponding to logistics cloud services. At the same time,the cloud services were organized and managed through the industry domain,location domain and type domain to construct smaller candidate sets of cloud services with reducing the computing amount of function matching,performance matching,price matching and time matching,thus constructing cloud manufacturing virtual workshops rapidly. The numerical example analysis shows that compared to other methods,the proposed method can select cloud services in a shorter time and ensure that the Quality of Service(QoS)of the selected cloud services is better in the relevant domains.
作者
赵秋云
魏乐
舒红平
ZHAO Qiuyun;WEI Le;SHU Hongping(School of Software Engineering,Chengdu University of Information Technology,Chengdu Sichuan 610225,China;Sichuan Key Laboratory of Software Automatic Generation and Intelligence Service(Chengdu University of Information Technology),Chengdu Sichuan 610225,China)
出处
《计算机应用》
CSCD
北大核心
2021年第7期2003-2011,共9页
journal of Computer Applications
基金
四川省应用基础研究项目(2018JY0506)。
关键词
云制造
云制造虚拟车间
云服务管理
制造执行链
服务组合优化
cloud manufacturing
cloud manufacturing virtual workshop
cloud service management
manufacturing execution chain
service composition optimization
作者简介
通信作者:赵秋云(1979-),女,河南漯河人,讲师,硕士,主要研究方向:云计算、企业信息化,电子邮箱67270833@qq.com;魏乐(1979-),男,河南郑州人,副教授,硕士,主要研究方向:智能服务、云制造、大数据;舒红平(1974-),男,重庆人,教授,博士,主要研究方向:软件工程、数据挖掘、企业信息化。
