{"title":"面向工业4.0的技能:基于广义企业参考体系结构和基于方法的框架的结构化存储库","authors":"Marta Pinzone, Paola Fantini, Marco Taisch","doi":"10.1080/0951192x.2023.2278105","DOIUrl":null,"url":null,"abstract":"ABSTRACTThis paper outlines a conceptual framework and a repository of skills for Industry 4.0 that manufacturing managers and other stakeholders can use for training, hiring and developing human resources. The framework and the repository of Industry 4.0 skills were developed by involving industrial practitioners, technology providers, recruitment agencies, research and education organizations in scenario-based focus groups and semi-structured interviews. The results of this study contribute to improving our current understanding of the skills required for Industry 4.0, and they can be used for the identification and assessment of workers’ skills as well as the design of skill development programs that match the needs of the industry and for the definition of policies that support the development of human capital to improve the employability of individuals and the performance of manufacturing companies.KEYWORDS: Industry 4.0skillcompetencyforesighthuman resourcetraining AcknowledgmentsThe Authors wish to thank the “Industry 4.0” Observatory of the School of Management of Politecnico di Milano, the experts and all the actors participating in the focus groups for their valuable inputs to the work.Disclosure statementNo potential conflict of interest was reported by the authors.Additional informationFundingThis research has been supported by donations of the Caterpillar Foundation, US in the context of the Chair Industry 4.h (human).","PeriodicalId":13907,"journal":{"name":"International Journal of Computer Integrated Manufacturing","volume":"2 2","pages":"0"},"PeriodicalIF":3.7000,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Skills for Industry 4.0: a structured repository grounded on a generalized enterprise reference architecture and methodology-based framework\",\"authors\":\"Marta Pinzone, Paola Fantini, Marco Taisch\",\"doi\":\"10.1080/0951192x.2023.2278105\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACTThis paper outlines a conceptual framework and a repository of skills for Industry 4.0 that manufacturing managers and other stakeholders can use for training, hiring and developing human resources. The framework and the repository of Industry 4.0 skills were developed by involving industrial practitioners, technology providers, recruitment agencies, research and education organizations in scenario-based focus groups and semi-structured interviews. The results of this study contribute to improving our current understanding of the skills required for Industry 4.0, and they can be used for the identification and assessment of workers’ skills as well as the design of skill development programs that match the needs of the industry and for the definition of policies that support the development of human capital to improve the employability of individuals and the performance of manufacturing companies.KEYWORDS: Industry 4.0skillcompetencyforesighthuman resourcetraining AcknowledgmentsThe Authors wish to thank the “Industry 4.0” Observatory of the School of Management of Politecnico di Milano, the experts and all the actors participating in the focus groups for their valuable inputs to the work.Disclosure statementNo potential conflict of interest was reported by the authors.Additional informationFundingThis research has been supported by donations of the Caterpillar Foundation, US in the context of the Chair Industry 4.h (human).\",\"PeriodicalId\":13907,\"journal\":{\"name\":\"International Journal of Computer Integrated Manufacturing\",\"volume\":\"2 2\",\"pages\":\"0\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2023-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Computer Integrated Manufacturing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/0951192x.2023.2278105\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computer Integrated Manufacturing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/0951192x.2023.2278105","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Skills for Industry 4.0: a structured repository grounded on a generalized enterprise reference architecture and methodology-based framework
ABSTRACTThis paper outlines a conceptual framework and a repository of skills for Industry 4.0 that manufacturing managers and other stakeholders can use for training, hiring and developing human resources. The framework and the repository of Industry 4.0 skills were developed by involving industrial practitioners, technology providers, recruitment agencies, research and education organizations in scenario-based focus groups and semi-structured interviews. The results of this study contribute to improving our current understanding of the skills required for Industry 4.0, and they can be used for the identification and assessment of workers’ skills as well as the design of skill development programs that match the needs of the industry and for the definition of policies that support the development of human capital to improve the employability of individuals and the performance of manufacturing companies.KEYWORDS: Industry 4.0skillcompetencyforesighthuman resourcetraining AcknowledgmentsThe Authors wish to thank the “Industry 4.0” Observatory of the School of Management of Politecnico di Milano, the experts and all the actors participating in the focus groups for their valuable inputs to the work.Disclosure statementNo potential conflict of interest was reported by the authors.Additional informationFundingThis research has been supported by donations of the Caterpillar Foundation, US in the context of the Chair Industry 4.h (human).
期刊介绍:
International Journal of Computer Integrated Manufacturing (IJCIM) reports new research in theory and applications of computer integrated manufacturing. The scope spans mechanical and manufacturing engineering, software and computer engineering as well as automation and control engineering with a particular focus on today’s data driven manufacturing. Terms such as industry 4.0, intelligent manufacturing, digital manufacturing and cyber-physical manufacturing systems are now used to identify the area of knowledge that IJCIM has supported and shaped in its history of more than 30 years.
IJCIM continues to grow and has become a key forum for academics and industrial researchers to exchange information and ideas. In response to this interest, IJCIM is now published monthly, enabling the editors to target topical special issues; topics as diverse as digital twins, transdisciplinary engineering, cloud manufacturing, deep learning for manufacturing, service-oriented architectures, dematerialized manufacturing systems, wireless manufacturing and digital enterprise technologies to name a few.