首页 | 本学科首页   官方微博 | 高级检索  
     

面向大规模个性化制造的车间制造服务协作链构建方法
引用本文:庞世宝,郭顺生,王磊,李西兴.面向大规模个性化制造的车间制造服务协作链构建方法[J].中国机械工程,2020,31(17):2104.
作者姓名:庞世宝  郭顺生  王磊  李西兴
作者单位:1.武汉理工大学机电工程学院,武汉,430070 2.湖北工业大学机械工程学院,武汉,430068
基金项目:国家自然科学基金资助项目(51905396,51805152)
摘    要:大规模个性化制造模式下,车间内部的制造资源需频繁进行重组以构建新的服务协作链来完成不同的制造任务。为提高服务协作链的高效性和稳定性,建立了制造资源聚合模型来描述车间制造资源的聚集关系,并基于改进的K-means++算法将制造资源封装成车间制造服务。使用频繁子网络挖掘算法挖掘了频繁出现的服务协作链,并提出服务协作链评价方法来对获取的服务协作链进行评价和筛选。最后通过案例分析对所提方法的可行性和有效性进行了验证。

关 键 词:大规模个性化  制造服务  封装  服务协作  数据挖掘  

Construction Method of Workshop Manufacturing Service Collaboration Chains for Mass Personalization Manufacturing
PANG Shibao,GUO Shunsheng,WANG Lei,LI Xixing.Construction Method of Workshop Manufacturing Service Collaboration Chains for Mass Personalization Manufacturing[J].China Mechanical Engineering,2020,31(17):2104.
Authors:PANG Shibao  GUO Shunsheng  WANG Lei  LI Xixing
Affiliation:1. School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan, 430070 2. School of Mechanical Engineering, Hubei University of Technology, Wuhan, 430068
Abstract:Under mass personalization production environments, manufacturing resources within the workshop needed to be reorganized frequently to build new service collaboration chains to complete different manufacturing tasks. In order to improve efficiency and stability of the service collaborative chains, a manufacturing resource aggregation model was established to describe the aggregation relationships of workshop manufacturing resources. Manufacturing resources were encapsulated into workshop manufacturing services based on improved K-means ++ algorithm. Frequent sub-network mining algorithm was used to mine frequently occurring service collaboration chains, and service collaboration chain evaluation was proposed to evaluate and filter the obtained service collaboration chains. Finally, feasibility and effectiveness of the proposed method were verified by case analysis.
Keywords:mass personalization  manufacturing service  encapsulation  service collaboration  data mining  
本文献已被 CNKI 等数据库收录!
点击此处可从《中国机械工程》浏览原始摘要信息
点击此处可从《中国机械工程》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号