{"title":"在生产网络中实现知识转移的跨站点学习框架","authors":"G. Schuh, J. Prote, A. Gützlaff, K. Thomas","doi":"10.1109/IESTEC46403.2019.00072","DOIUrl":null,"url":null,"abstract":"Product value chains are increasingly distributed globally, which requires companies to operate in production networks. Thereby, the cross-site transfer of globally distributed knowledge is a significant competitive advantage but still a major challenge. This paper summarizes requirements for the knowledge transfer in production networks and derives key challenges of cross-site learning. Furthermore, an overview of the most recent approaches is given and a framework for an efficient and user-friendly knowledge transfer is proposed.","PeriodicalId":388062,"journal":{"name":"2019 7th International Engineering, Sciences and Technology Conference (IESTEC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Framework for Cross-Site Learning to Enable Knowledge Transfer in Production Networks\",\"authors\":\"G. Schuh, J. Prote, A. Gützlaff, K. Thomas\",\"doi\":\"10.1109/IESTEC46403.2019.00072\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Product value chains are increasingly distributed globally, which requires companies to operate in production networks. Thereby, the cross-site transfer of globally distributed knowledge is a significant competitive advantage but still a major challenge. This paper summarizes requirements for the knowledge transfer in production networks and derives key challenges of cross-site learning. Furthermore, an overview of the most recent approaches is given and a framework for an efficient and user-friendly knowledge transfer is proposed.\",\"PeriodicalId\":388062,\"journal\":{\"name\":\"2019 7th International Engineering, Sciences and Technology Conference (IESTEC)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 7th International Engineering, Sciences and Technology Conference (IESTEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IESTEC46403.2019.00072\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 7th International Engineering, Sciences and Technology Conference (IESTEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IESTEC46403.2019.00072","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Framework for Cross-Site Learning to Enable Knowledge Transfer in Production Networks
Product value chains are increasingly distributed globally, which requires companies to operate in production networks. Thereby, the cross-site transfer of globally distributed knowledge is a significant competitive advantage but still a major challenge. This paper summarizes requirements for the knowledge transfer in production networks and derives key challenges of cross-site learning. Furthermore, an overview of the most recent approaches is given and a framework for an efficient and user-friendly knowledge transfer is proposed.