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云制造下设计任务与知识资源双边匹配方法
引用本文:李颖新,刘继红,张宏,侯永柱,何志军,樊江鑫. 云制造下设计任务与知识资源双边匹配方法[J]. 计算机集成制造系统, 2022, 28(2): 643-648. DOI: 10.13196/j.cims.2022.02.026
作者姓名:李颖新  刘继红  张宏  侯永柱  何志军  樊江鑫
作者单位:南京理工大学 计算机科学与工程学院,江苏 南京 210094,北京航空航天大学 机械工程及自动化学院,北京 100191,北京理工大学 机械与车辆学院,北京 100081
基金项目:国家自然科学基金;国家重点研发计划
摘    要:设计任务与知识资源的匹配大多是以业务流程为基础的单向匹配,为解决研发设计任务与知识资源之间的双边匹配问题,提出面向云制造模式的研发设计任务与知识资源双边匹配总体框架,该框架包括双边匹配满意度评价指标体系构建、多指标满意度评价信息处理和多目标双边匹配决策模型构建与求解等关键步骤。以卫星产品研制工艺知识为例,验证了所提方法在解决设计任务和知识资源双边匹配,以及提升产品设计任务执行效率与质量方面的有效性。

关 键 词:云制造  云服务平台  设计任务  知识资源  双边匹配  卫星产品

Bilateral matching methods for design tasks and knowledge resources in cloud manufacturing mode
LI Yingxin,LIU Jihong,ZHANG Hong,HOU Yongzhu,HE Zhijun,FAN Jiangxin. Bilateral matching methods for design tasks and knowledge resources in cloud manufacturing mode[J]. Computer Integrated Manufacturing Systems, 2022, 28(2): 643-648. DOI: 10.13196/j.cims.2022.02.026
Authors:LI Yingxin  LIU Jihong  ZHANG Hong  HOU Yongzhu  HE Zhijun  FAN Jiangxin
Affiliation:(School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094,China;School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China;School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China)
Abstract:The matching between design tasks and knowledge resources is mostly a one-way matching method based on business processes.To solve the problem of bilateral matching between design tasks and knowledge resources,an overall matching framework oriented to cloud manufacturing mode was proposed.The key steps such as the constructing of bilateral matching satisfaction evaluation index system,the processing of multi-index satisfaction evaluation information and the constructing and solving of multi-objective bilateral matching decision model were included in this framework.An example of satellite product development process knowledge was used to demonstrate the effectiveness of the proposed method in solving the bilateral matching between design tasks and knowledge resources and improving the efficiency and quality of product design task execution.
Keywords:cloud manufacturing  cloud service platform  design tasks  knowledge resource  bilateral matching  satellite product
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