Industry 4.0

Due to the high requirements of customers, logistics service providers are getting under pressure to improve their processes more efficiently and economically. In this context, the advancing automation and digitalization in all industrial sectors are producing a multitude of innovative solutions which will help solving the problems mentioned before [1]. The resulting sociotechnical systems created this way are often not in the focus due to the new technology. In this study, a project procedure will be presented as a recommendation which will help to introduce an innovation − in this case especially for an automatic guided vehicle− in consideration of the aspects of socio-technical systems.

Industry 4.0 and an increasing digitalisation make it possible to implement decentralised decisions in production and on the shop floor to an ever greater extent. Shopfloor Management is an important enabler for the assumption of decentralised responsibility on the shop floor. This article takes up the approach of autonomous assembly teams and explains how they can be realised step-by-step with the help of goal-oriented shop floor management.

Industry 4.0 is a political concept intended to help German manufacturing companies to exploit data potential. Today, maintenance activities are not proactive by current approaches. Decision support systems based on artificial intelligence allow a change here by even foresighted machine maintenance. However, AI’s opaque decision-making process represents a barrier for users, which endangers its effectiveness. Therefore, this article sheds light on both: the technological as well as social factor for the adoption of AI in Industry 4.0.

German industrial companies are suffering from an increasing shortage of skilled workers. In order to secure Germany’s existing competitive advantages, suitable solutions have to be carried out to counter this shortage. Technologies in the context of “Industry 4.0” offer promising solutions. Using this technologies, significant productivity improvements as well as higher resource utilization rates can be achieved. However, the main challenge is to identify the right technical solutions for the specific business challenges. In the following, a systematic approach is presented to face these challenges.

Due to an increased product variety, the need for flexibly configured assembly systems is steadily growing. In contrast to classic assembly lines with predominantly rigid conveyor technology, efficient, individual assembly routes with cycle-independent processing times are implemented in a dynamically interconnected assembly system using intelligent control and AGVs. This article presents the most important factors for the IT-related implementation of a dynamically interconnected assembly system and shows which existing standards from the field of Industry 4.0 can be used for this purpose.

Industry 4.0 is work in progress in Germany, digital technologies such as IoT, KI, Cloud or Big Data Analytics are increasingly being introduced in companies. However, alongside technology, people and organisation are the central success factors of digital transformation. Further training, lifelong learning, agile organisation and corporate culture are becoming increasingly important in companies. Study results on the competence requirements for industrial work 4.0 show that in addition to IT and technical skills, openness, overview knowledge, interdisciplinary cooperation and agility are also required. Young professionals from NRW largely understand the importance of these competences, but show significant deficits in many of them, especially in digital competences, interdisciplinary cooperation and agility. It is necessary to promote these competences in a targeted manner during studies and further education.