Today, one of the biggest challenges for digital transformation in the Industry 4.0 paradigm is the lack of mutual understanding between the academic and the industrial world. On the one hand, the industry fails to apply new technologies and innovations from scientific research. At the same time, academics struggle to find and focus on real-world applications for their developing technological solutions. Moreover, the increasing complexity of industrial challenges and technologies is widening this hiatus. To reduce this knowledge and communication gap, this article proposes a mixed approach of humanistic and engineering techniques applied to the technological and enterprise fields. The study's results are represented by a taxonomy in which industrial challenges and I4.0-focused technologies are categorized and connected through academic and grey literature analysis. This taxonomy also formed the basis for creating a public web platform where industrial practitioners can identify candidate solutions for an industrial challenge. At the same time, from the educational perspective, the learning procedure can be supported since, through this tool, academics can identify real-world scenarios to integrate digital technologies' teaching process.
翻译:今天,工业4.0模式中数字转型的最大挑战之一是学术界和工业界之间缺乏相互了解。一方面,工业未能应用科学研究中的新技术和创新。与此同时,学术界努力寻找并关注现实世界的应用,以寻求其开发技术解决方案。此外,工业挑战和技术的日益复杂性正在扩大这一间隙。为缩小这种知识和通信差距,本篇文章提出了适用于技术和企业领域的人文和工程技术的混合方法。研究的结果表现为分类学,其中工业挑战和以4.0为主的技术通过学术和灰色文学分析分类和连接。这种分类学还构成了创建公共网络平台的基础,使工业从业人员可以借此找到工业挑战的候选解决方案。与此同时,从教育角度,学习程序可以支持,因为通过这一工具,学术界可以确定将数字技术教学过程纳入现实世界情景。