未来产业工人特征框架

Päivi Heikkilä, S. Aromaa, Hanna Lammi, T. Kuula
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In our study, we wanted to add understanding\n of the skills and characteristics needed in future industrial work and present the\n results in a format that would support designers of technological tools to consider the\n perspective of future workers. Our goal was to create a framework of worker\n characteristics that could guide the design of technological tools to assist workers in\n work tasks requiring new skills and characteristics. To understand the transformation of\n work and to create a framework, we conducted a literature review and 10 expert\n interviews, focusing on the ways emerging technologies are expected to change the nature\n of industrial work. Based on the results, a framework of future industrial worker\n characteristics (FIW) was created. The applicability of the framework was tested by\n applying it in a European research project that develops software solutions for the\n context of modern, flexible, and data-rich manufacturing. Altogether, 19 novel software\n solutions that are being developed to support industrial work were mapped using the\n characteristics of the framework. The mapping experiment provided understanding of the\n relevance of the worker characteristics and the ways to support them in\n practice.According to the FIW framework, future industrial work will require smarter\n operations, which emphasizes worker capabilities in terms of mastering complexity,\n solving problems, making proactive decisions, and considering sustainability.\n Transforming work requires resilience that can be strengthened by capabilities such as\n creativity, the ability to lead oneself, flexibility, and continuous learning. Being\n interactive will be a vital part of work and can be fostered by communication,\n collaboration, supporting inclusiveness and interculturality, as well as sharing a\n safety-oriented mindset and work practices. In addition, health and well-being will have\n a central role in the future work. A healthy worker can be characterized as feeling\n motivated, balanced, capable, and focused.The FIW framework can be used by designers and\n industrial companies to guide the design and acquirement of novel technology solutions\n to support the characteristics of future industrial work, and in general, to increase\n understanding on transformation of industrial work from the perspective of worker skills\n and characteristics. In the future, it would be good to apply the framework in other\n research cases and industrial contexts to find out the possible development needs and\n ways to embed the framework in the design or evaluation processes.REFERENCES[1]Henning\n Kagermann, Wolfgang Wahlster and Johannes Helbig. 2013. Recommendations for Implementing\n the Strategic Initiative INDUSTRIE 4.0: securing the future of German manufacturing\n industry. 82.[2]Sang-Min Park and Young-Gab Kim. 2022. A Metaverse: taxonomy,\n components, applications, and open challenges. IEEE Access [3]Eurofound. 2018. Wage and\n task profiles of employment in Europe in 2030. [4]Gartner 2023. 9 Future of Work Trends\n for 2023. Available: gartner.com/en/articles/9-future-of-work-trends-for-2023 [Accessed\n Feb 15, 2023].[5]David Romero, Johan Stahre, Thorsten Wuest, Ovidiu Noran, Peter Bernus,\n Åsa Fast-Berglund and Dominic Gorecky. 2016. Towards an operator 4.0 typology: A\n human-centric perspective on the fourth industrial revolution technologies. CIE 2016:\n 46th International Conferences on Computers and Industrial Engineering. [6]Eija\n Kaasinen, Franziska Schmalfuß, Cemalettin Özturk, Susanna Aromaa, Menouer Boubekeur,\n Juhani Heilala, Päivi Heikkilä, Timo Kuula, Marja Liinasuo and Sebastian Mach. 2020.\n Empowering and engaging industrial workers with Operator 4.0 solutions. Computers &\n Industrial Engineering 139, 105678.[7]Roope Raisamo, Ismo Rakkolainen, Päivi Majaranta,\n Katri Salminen, Jussi Rantala and Ahmed Farooq. 2019. Human augmentation: Past, present\n and future. International Journal of Human-Computer Studies 131, 131-143.[8]Francisco\n Betti and Thomas Bohne. 2022. Augmented Workforce: Empowering People, Transforming\n Manufacturing.[9]The World Manufacturing Forum. 2019. Skills for the Future of\n Manufacturing.","PeriodicalId":383834,"journal":{"name":"Human Interaction and Emerging Technologies (IHIET-AI 2023): Artificial\n Intelligence and Future Applications","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Framework of Future Industrial Worker Characteristics\",\"authors\":\"Päivi Heikkilä, S. Aromaa, Hanna Lammi, T. 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引用次数: 1

摘要

由于新技术以及物理和虚拟环境的融合(例如,工业4.0 [1],Metaverse[1]),制造业的工作方式正在发生变化。工作任务已经从体力和日常任务转变为智力和社会活动,其中往往包括使用信息和通信技术工具。大流行病改变了人们对混合安排的态度和工作方式,因此,对工作灵活性的期望可能也更适用于制造业工人。新技术正在发展,以支持未来的产业工人,这可以被称为增强或赋予工人权力[6-8]。世界制造业论坛已经确定了未来制造业工作中需要的十大技能。在我们的研究中,我们希望增加对未来工业工作所需的技能和特征的理解,并以一种格式呈现结果,以支持技术工具的设计者考虑未来工人的观点。我们的目标是创建一个工人特征的框架,可以指导技术工具的设计,以帮助工人完成需要新技能和特征的工作任务。为了理解工作的转变并创建一个框架,我们进行了文献综述和10位专家访谈,重点关注新兴技术有望改变工业工作性质的方式。在此基础上,构建了未来产业工人特征(FIW)框架。通过在一个欧洲研究项目中应用该框架来测试其适用性,该项目为现代、灵活和数据丰富的制造业开发软件解决方案。总共有19个正在开发的支持工业工作的新型软件解决方案使用框架的特征进行了映射。映射实验提供了对工人特征相关性的理解以及在实践中支持它们的方法。根据FIW框架,未来的工业工作将需要更智能的操作,这强调了工人在控制复杂性、解决问题、做出积极决策和考虑可持续性方面的能力。转变工作需要弹性,而弹性可以通过创造力、自我领导能力、灵活性和持续学习等能力来加强。互动将是工作的重要组成部分,可以通过沟通、协作、支持包容性和跨文化,以及分享以安全为导向的思维方式和工作实践来培养。此外,健康和福祉将在今后的工作中发挥核心作用。一个健康的员工可以被描述为感觉积极、平衡、有能力和专注。设计师和工业公司可以使用FIW框架来指导设计和获取新的技术解决方案,以支持未来工业工作的特征,总的来说,从工人技能和特征的角度增加对工业工作转型的理解。在未来,最好将该框架应用于其他研究案例和行业环境中,以找出可能的开发需求和将框架嵌入设计或评估过程的方法。参考文献bbb10 Henning Kagermann, Wolfgang Wahlster和Johannes Helbig. 2013。实施工业4.0战略倡议的建议:确保德国制造业的未来。82.[2]朴相民、金永嘉,2022。元verse:分类、组件、应用程序和开放的挑战。IEEE Access [3]Eurofound。2018. 2030年欧洲就业工资和任务概况。2023年Gartner[4]。2023年的未来工作趋势。可用:gartner.com/en/articles/9-future-of-work-trends-for-2023[2023年2月15日访问]。[5]大卫·罗梅罗,约翰·斯塔雷,托尔斯滕·韦斯特,奥维迪乌·诺兰,彼得·伯努斯,Åsa Fast-Berglund和多米尼克·戈雷基。2016。迈向操作员4.0类型:以人为中心的第四次工业革命技术视角。2016年第46届计算机与工业工程国际学术会议。[10]Eija Kaasinen, Franziska Schmalfuß, Cemalettin Özturk, Susanna Aromaa, Menouer Boubekeur, Juhani Heilala, Päivi Heikkilä, Timo Kuula, Marja Liinasuo和Sebastian Mach。2020。通过运营商4.0解决方案增强和吸引产业工人。计算机与工业工程139,105678。[7]Roope Raisamo, Ismo Rakkolainen, Päivi Majaranta, Katri Salminen, Jussi Rantala和Ahmed Farooq. 2019。人类增强:过去,现在和未来。国际人机研究学报,131,131-143。[8]弗朗西斯科·贝蒂和托马斯·博纳,2022。增强劳动力:赋予人们权力,改变制造业。世界制造业论坛。2019。未来制造业的技能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Framework of Future Industrial Worker Characteristics
The ways of working are changing in the manufacturing industry due to new technologies and the merging of physical and virtual environments (e.g., Industry 4.0 [1], Metaverse [2]). Already, work tasks are changing from physical and routine tasks towards intellectual and social activities which often include the use of ICT tools [3]. The pandemic has changed attitudes and ways of working towards hybrid arrangements and therefore, expectations related to flexibility in work may become more pertinent also for manufacturing workers [4]. Novel technologies are being developed to support the industrial worker in the future [5], which can be called augmentation or empowerment of workers [6-8].The World Manufacturing Forum has identified the top ten skills that will be needed in future manufacturing work [9]. In our study, we wanted to add understanding of the skills and characteristics needed in future industrial work and present the results in a format that would support designers of technological tools to consider the perspective of future workers. Our goal was to create a framework of worker characteristics that could guide the design of technological tools to assist workers in work tasks requiring new skills and characteristics. To understand the transformation of work and to create a framework, we conducted a literature review and 10 expert interviews, focusing on the ways emerging technologies are expected to change the nature of industrial work. Based on the results, a framework of future industrial worker characteristics (FIW) was created. The applicability of the framework was tested by applying it in a European research project that develops software solutions for the context of modern, flexible, and data-rich manufacturing. Altogether, 19 novel software solutions that are being developed to support industrial work were mapped using the characteristics of the framework. The mapping experiment provided understanding of the relevance of the worker characteristics and the ways to support them in practice.According to the FIW framework, future industrial work will require smarter operations, which emphasizes worker capabilities in terms of mastering complexity, solving problems, making proactive decisions, and considering sustainability. Transforming work requires resilience that can be strengthened by capabilities such as creativity, the ability to lead oneself, flexibility, and continuous learning. Being interactive will be a vital part of work and can be fostered by communication, collaboration, supporting inclusiveness and interculturality, as well as sharing a safety-oriented mindset and work practices. In addition, health and well-being will have a central role in the future work. A healthy worker can be characterized as feeling motivated, balanced, capable, and focused.The FIW framework can be used by designers and industrial companies to guide the design and acquirement of novel technology solutions to support the characteristics of future industrial work, and in general, to increase understanding on transformation of industrial work from the perspective of worker skills and characteristics. In the future, it would be good to apply the framework in other research cases and industrial contexts to find out the possible development needs and ways to embed the framework in the design or evaluation processes.REFERENCES[1]Henning Kagermann, Wolfgang Wahlster and Johannes Helbig. 2013. Recommendations for Implementing the Strategic Initiative INDUSTRIE 4.0: securing the future of German manufacturing industry. 82.[2]Sang-Min Park and Young-Gab Kim. 2022. A Metaverse: taxonomy, components, applications, and open challenges. IEEE Access [3]Eurofound. 2018. Wage and task profiles of employment in Europe in 2030. [4]Gartner 2023. 9 Future of Work Trends for 2023. Available: gartner.com/en/articles/9-future-of-work-trends-for-2023 [Accessed Feb 15, 2023].[5]David Romero, Johan Stahre, Thorsten Wuest, Ovidiu Noran, Peter Bernus, Åsa Fast-Berglund and Dominic Gorecky. 2016. Towards an operator 4.0 typology: A human-centric perspective on the fourth industrial revolution technologies. CIE 2016: 46th International Conferences on Computers and Industrial Engineering. [6]Eija Kaasinen, Franziska Schmalfuß, Cemalettin Özturk, Susanna Aromaa, Menouer Boubekeur, Juhani Heilala, Päivi Heikkilä, Timo Kuula, Marja Liinasuo and Sebastian Mach. 2020. Empowering and engaging industrial workers with Operator 4.0 solutions. Computers & Industrial Engineering 139, 105678.[7]Roope Raisamo, Ismo Rakkolainen, Päivi Majaranta, Katri Salminen, Jussi Rantala and Ahmed Farooq. 2019. Human augmentation: Past, present and future. International Journal of Human-Computer Studies 131, 131-143.[8]Francisco Betti and Thomas Bohne. 2022. Augmented Workforce: Empowering People, Transforming Manufacturing.[9]The World Manufacturing Forum. 2019. Skills for the Future of Manufacturing.
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