物流云服务优选及其在云制造中的应用研究

Research on logistics cloud service optimization and its application in cloud manufacturing

在对制造云服务组合进行优化选择时,现有的研究大多不考虑服务组合方案中物流服务对方案影响的现象,不符合服务组合方案的实际实施指标。基于上述问题,提出了考虑物流服务影响的制造云服务组合优选方案,首先对云服务中硬件制造服务和物流服务的描述进行了补充,添加了硬件制造服务的区域地理信息和物流云服务的区域服务信息及其Qo S描述;同时基于该描述针对服务组合方案中的具体运输情况,进行物流服务Qo S指标的动态评估,对可靠性则建立层级分析架构,通过模糊综合法计算进行评估;然后将物流云服务的相关工作运用在制造云服务组合中;通过实例分析和Matlab仿真,对服务组合结果进行验证,说明了其可行性和有效性。

In view of the optimization and selection of manufacturing cloud service composition,the available researches mostly take no account of the impact of logistics service in service composition scheme on the scheme,and can′t comform to the practical implementation indicators of the service composition scheme. On the basis of the above problems,the manufacturing cloud service composition optimization scheme considering the influence of logistics service is proposed. The description of hardware manufacturing service and logistics service in cloud service is supplemented. The regional geography information of hardware manufacturing service,and regional service information of logistics cloud service and its Qo S（quality of service）description are added. And on the basis of this description,the specific transportation condition in the service composition scheme is dynamicly evaluated with logistics service Qo S indicator. The hierachy analysis architecture was established for the reliability,and evaluated by means of fuzzy comprehensive method. And then the related work of logistics cloud service was applied to the manufacturing cloud service composition. The service composition results were verified with instance analysis and Matlab simulation.The feasibility and validity of the service composition were verified.