基于制造任务分解的云资源匹配方法的研究  

Research on the Cloud Resource Matching Method Based on the Decomposition of Manufacturing Tasks

作　　者：梁晓星[1] 屠建飞[1] 王磊[1] LIANG Xiaoxing;TU Jianfei;WANG Lei(School of Mechanical Engineering and Mechanics,Ningbo University,Ningbo 315211,China)

机构地区：[1]宁波大学机械工程与力学学院,浙江宁波315211

出　　处：《科技与经济》2018年第2期65-69,共5页Science & Technology and Economy

基　　金：浙江省自然科学基金项目--"基于供应子链的云制造资源计划研究"(项目编号:LY14G010002;项目负责人:屠建飞)成果之一

摘　　要：针对目前信息数据的迅猛发展,许多公司开始了资源云端的应用。为了实现云制造资源与制造任务间的准确匹配,在云制造资源的特点和分类基础上,对制造任务的分解和制造资源的匹配方法进行研究。首先将企业的制造生产任务进行分解描述,使之与云制造资源分类属性间的匹配变得可行。采用资源类型、资源基本信息和服务质量三种算法完成云制造资源的匹配,最后通过实例验证了匹配方法的有效性。Aiming at the rapid development of information data,many companies began the application of resources in the cloud.In order to achieve the accurate matching between the cloud manufacturing resources and manufacturing task,based on the characteristics and classification of cloud manufacturing resources,the manufacturing task decomposition and resource matching method were studied.Firstly,the manufacturing task is decomposed and described,which makes it feasible to match with the classification attribute of cloud manufacturing resources.Three kinds of algorithms of resource type,resource basic information and service quality are used to complete the matching of cloud manufacturing resources.Finally,the validity of matching method is verified by an example.

关 键 词：云制造资源 资源模型 任务分解 匹配 

分 类 号：TP393.09[自动化与计算机技术—计算机应用技术]