INDUSTRY – UNIVERSITY COOPERATION – A PREREQUISITE FOR DEVELOPING COMPETENCIES 4.0

V. Haralanova, Göran Fafner, S. Khoshaba
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Abstract

The term Industry 4.0 represents the radical transformation that has resulted from the integration of emerging technologies and the industry. The proximity of the Fourth Industrial Revolution is observable and brings challenges arising from the ongoing automation and digitization. All companies, willing to remain competitive on the market need to go through this transformation overcoming such barriers, as the lack of qualified, skilled and talented employees to develop and manage various high-tech systems. This deficiency means that Industry 4.0 demands a change in the labour market, explicitly requiring trained professionals who have the needed competencies and skills. In this new environment, driven by new technologies and innovations the cooperation between academia and business is a prerequisite to sustainable economic growth, readiness for employment and preparedness for satisfying the new demands of the industries. The authors are university teachers, working in Mechanical engineering department and Design department. The purpose of the presented paper is to observe the competencies and skills of mechanical engineers demanded by Industry 4.0 and to systemize the links between the industry in the region and the University aiming developing the needed competencies. Example with a project “Smart Industries”, running at the Mechanical Engineering department and Department for Computer sciences, focuses on development of expert competence within research and education areas related to the digitalization of the industry will be presented.
产学研合作——发展能力4.0的先决条件
“工业4.0”一词代表了新兴技术与工业融合所带来的根本性变革。第四次工业革命近在眼前,同时也带来了自动化和数字化带来的挑战。所有愿意在市场上保持竞争力的公司都需要通过这种转变来克服这些障碍,例如缺乏合格的,熟练的和有才华的员工来开发和管理各种高科技系统。这种不足意味着工业4.0要求劳动力市场发生变化,明确要求训练有素的专业人员具备所需的能力和技能。在新技术和创新的驱动下,学术界和商界的合作是经济可持续增长、就业和满足行业新需求的先决条件。作者为高校教师,在机械工程系和设计系工作。本文的目的是观察工业4.0所要求的机械工程师的能力和技能,并将该地区的工业与旨在培养所需能力的大学之间的联系系统化。以机械工程系和计算机科学系的“智能工业”项目为例,该项目侧重于发展与工业数字化相关的研究和教育领域的专家能力。
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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