Future Job Profile at Smart Factories

Andrej Jerman, Tine Bertoncel, Ivan Erenda, Anita Trnavcevic
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引用次数: 1

Abstract

In this paper, we focus on future job profiles at smart factories. We conducted a case study from the Slovene automotive industry, because this industry is one of the first to adopt the guidelines of Industry 4.0 and has already started transforming into a smart factory. The method of interviewing a focus group was chosen as the method of data collection. An interview with focus group experts was done with the aim of getting data on job profiles and competencies in the future. Our sample included six participants, managers from automotive company TPV in Slovenia, who are the most knowledgeable informants,due to their expertise on the topic of the study. The key theoretical contributions are to be found in the list of future job profiles, which is under-researched, especially in the field of smart manufacturing. Therefore, the identification of those is an important theoretical contribution of this study.
智能工厂未来的工作概况
在这篇论文中,我们关注的是智能工厂未来的工作概况。我们对斯洛文尼亚汽车行业进行了案例研究,因为该行业是最早采用工业4.0指导方针的行业之一,并且已经开始向智能工厂转型。数据收集方法选择了采访焦点小组的方法。对焦点小组专家进行了访谈,目的是获得未来工作概况和能力的数据。我们的样本包括六名参与者,他们是斯洛文尼亚TPV汽车公司的经理,由于他们在研究主题上的专业知识,他们是最了解情况的线人。关键的理论贡献可以在未来工作简介列表中找到,该列表正在研究中,尤其是在智能制造领域。因此,对它们的识别是本研究的重要理论贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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审稿时长
16 weeks
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