Article(id=1242139550957511260, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242139531168789435, articleNumber=null, orderNo=15, doi=10.3981/j.issn.1000-7857.2021.22.009, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1615132800000, receivedDateStr=2021-03-08, revisedDate=1622304000000, revisedDateStr=2021-05-30, acceptedDate=null, acceptedDateStr=null, onlineDate=1640062157947, onlineDateStr=2021-12-21, pubDate=1638028800000, pubDateStr=2021-11-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1640062157947, onlineIssueDateStr=2021-12-21, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078746781, creator=sys-migrate, updateTime=1774078746781, updator=sys-migrate, issue=Issue{id=1242139531168789435, tenantId=1146029695717560320, journalId=1146031591421210625, year='2021', volume='39', issue='22', pageStart='0', pageEnd='144', issueExtLink='null', onlineDate='null', pubDate='1638028800000', pubDateStr='2021-11-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078742063, creator='sys-migrate', updateTime=1774078742063, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=75, endPage=84, ext={EN=ArticleExt(id=1242139555470585871, articleId=1242139550957511260, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Resilient manufacturing systems for mass personalization, columnId=1242116810380743325, journalTitle=Science & Technology Review, columnName=Reviews, runingTitle=null, highlight=null, articleAbstract=With the development of the new generation information technology and the advanced manufacturing technology, the mass personalization has gradually replaced the mass customization as the current mainstream production mode. The resilient manufacturing system shows its ability to respond to and recover from the emergencies or the interruptions inside and outside the manufacturing system, and has become a key technology to support the mass personalization production. First, the co-evolution process of the production mode and the manufacturing system is discussed, focusing on the adaptive relation between the mass personalization production and the resilient manufacturing system, and the connotation of the system resilience is highlighted, as well as the research status of the resilience of the manufacturing system. Based on the analysis of the resilience process of the manufacturing system in the two levels of the supply chain network and the manufacturing enterprise's internal processing equipment network, a manufacturing supply chain network structure model is built based on the perspective of the material flow for further analyzing the resilience issues of the manufacturing system. The sources of the incentives, the resilience response processes and their characteristics, and the key supporting technologies of the resilient manufacturing systems are analyzed, and the evaluation index and the optimization strategies of the resilient manufacturing systems for the mass personalization production are suggested. Finally, the hot research directions of the resilient manufacturing systems for the mass personalization production are outlined., authors=LIN Wenguang¹, LAI Rongshen¹, XIAO Renbin², authorsList=LIN Wenguang, LAI Rongshen, XIAO Renbin, authorCompany=1. School of Mechanical and Automotive Engineering, Xiamen University of Technology, Xiamen 361024, China;
2. School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=eTGml/wbhaSaQDfUqTEGkg==, pdfFileSize=1889403, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242139554283594358, articleId=1242139550957511260, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=面向大规模个性化生产的韧性制造系统, columnId=1242134377686180284, journalTitle=科技导报, columnName=综述, runingTitle=null, highlight=null, articleAbstract=随着新一代信息技术和先进制造技术的发展，大规模个性化生产逐渐取代大规模定制化生产成为当前主流生产模式。韧性制造系统突出其应对系统内外突发事件的响应和恢复能力，成为支撑大规模个性化生产的关键技术。阐述了生产模式与制造系统的协同演化过程，指出大规模个性化生产模式应与韧性制造系统相适应，分析了系统韧性内涵并综述制造系统韧性研究现状；基于供应链网络和制造企业内部加工设备网络的韧性过程分析，构建了基于物料流视角的制造供应链网络结构模型，讨论了制造系统韧性问题；分析了韧性制造系统的激励来源、韧性响应过程和特征以及关键支撑技术，提出了面向大规模个性化生产的韧性制造系统的评估指标与优化策略；展望了面向大规模个性化生产的韧性制造系统的热点研究方向。, authors=林文广¹, 赖荣燊¹, 肖人彬², authorsList=林文广, 赖荣燊, 肖人彬, authorCompany=1. 厦门理工学院机械与汽车工程学院, 厦门 361024;
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