digitization

Distribution of Qualification in Companies Becomes Measurable − Danger for Employees with Medium Level of Qualification due to Digitization

Distribution of Qualification in Companies Becomes Measurable − Danger for Employees with Medium Level of Qualification due to Digitization

Gefahr für Mitarbeiter mit mittlerer Qualifikation durch die Digitalisierung
Gerrit Sames
Employees, machines and products get connected: the 4th Industrial Revolution has begun [1]. This is a central statement on the homepage of the German „Plattform Industrie 4.0“. Meanwhile the basic ideas started to move from the shopfloor level to the level of business processes and business models. In consequence it was detected pretty early, that digitization will affect the employees and their qualification and tasks in the companies; the term Work 4.0 evolved. The following contribution emphasizes the systematization of qualifications. A new model will be displayed, that helps to bring transparency to the distribution of qualification in companies. The useability of the model is verified in two case studies. The model is a practicable instrument for companies to gain a realistic view to the upcoming challenges of the shift of qualification due to digitization.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 2 | Pages 58-62
Competence Development for Managers in the Context of Digitalization

Competence Development for Managers in the Context of Digitalization

Leadership Training in Corporate Training
Tobias Wienzek, Hendrik Lager, Claudia Suhr
In the digital transformation, managers are facing changed requirements. They are important actors in the design process of the digital transformation, for which they must change their leadership behavior and acquire the corresponding competencies. In corporate practice, it is necessary to address these issues systematically in leadership training. However, such a qualification is a major challenge for companies. The article shows demands on leadership in the digital transformation and presents an innovative procedure for the competence development of managers at a provider of professional training.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 2 | Pages 15-18
Ready for Artificial Intelligence?

Ready for Artificial Intelligence?

Recommendations for the AI transformation for small and mid-sized enterprises
Ralf Klinkenberg, Philipp Schlunder
Artificial intelligence (AI) is the next stage in the digitalization of the economy. The technology also offers great potential for small and mediusized enterprises (SMEs). However, many SMEs are still reluctant to introduce AI and are only at the beginning of digitization: only around one fifth of all SMEs in Germany have thoroughly digitized their own processes and departments. What does this mean for the use of AI in companies? What steps should businesses take now to take advantage of the opportunities AI offers? And what stumbling blocks should be avoided? This article presents practical implementation concepts for companies with different levels of digital maturity and AI deployment capabilities and shows the range of potential benefits of AI applications in different industries and with different value creation architectures in medium-sized companies.
Industrie 4.0 Management | Volume 37 | 2021 | Edition 6 | Pages 62-66
Industry 4.0 to Compensate the Shortage of Skilled Workers

Industry 4.0 to Compensate the Shortage of Skilled Workers

Eine Betrachtung für den deutschen Mittelstand
Günther Schuh ORCID Icon, Patrick Scholz, Thomas Scheuer, Tim Latz
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.
Industrie 4.0 Management | Volume 37 | 2021 | Edition 1 | Pages 12-16
New Data Economics for a New Data Economy − Postcoronomics: What‘s New?

New Data Economics for a New Data Economy − Postcoronomics: What‘s New?

Postcoronomics: was ist neu?
Thomas Straubhaar
The corona pandemic was an eye opener. Practically overnight, it has demonstrated how digitalization can transform almost every area of daily life. It has accelerated structural change towards a data economy. A data economy works according to its own rules. They differ fundamentally from the principles of a goods economy. Therefore, the new data economy requires a new data economics.
Industrie 4.0 Management | Volume 37 | 2021 | Edition 1 | Pages 55-58
The Potential Model

The Potential Model

Supporting SMEs in selecting suitable Industry 4.0 solutions
Patrick Schumacher, Christian Weckenborg ORCID Icon, Thomas S. Spengler, David Schneider, Tobias Huth, Thomas Vietor
The implementation of Industry 4.0 solutions offers great potential for meeting growing challenges in the context of digitization. Nevertheless, particularly small and medium-sized companies are hesitant to implement Industry 4.0 solutions. Within the framework of the ERDF research project »Synus«, methods and tools were developed to support small and medium-sized companies in the evaluation and selection of Industry 4.0 solutions. This contribution presents the potential model, which enables small and medium-sized enterprises to select suitable Industry 4.0 solutions.
Industrie 4.0 Management | Volume 36 | 2020 | Edition 6 | Pages 25-29 | DOI 10.30844/I40M_20-6_S25-29
Development of a Methodology for Selecting a Traceability System

Development of a Methodology for Selecting a Traceability System

Entwicklung einer Methodik zur Auswahl eines Traceability-Systems
Nicolas Wittine ORCID Icon, Tim Trostmann, Ana Luiza Amaral Bicalho, Christian Kern, Sigrid Wenzel ORCID Icon, Robert Refflinghaus
Traceability systems are used in large companies to trace and track products. Although these systems aid to avoid quality and cost risks, they are only used hesitantly in SMEs. This is partly due to a lack of market transparency. Consequently, a methodology is needed that enables SMEs to capture their requirements using reference products and processes and to map them to available software solutions. This paper deals with a methodology that simplifies the selection process and focuses on the approach regarding the creating reference products and processes.
Industrie 4.0 Management | Volume 36 | 2020 | Edition 6 | Pages 35-38
The Loop of Cognition

The Loop of Cognition

How “intelligence” is constellated on a silicon basis
Claus Riehle, Thorsten Pötter, Thomas Steckenreiter
In process engineering, one thinks of production operations that are controlled or regulated by sensors and actuators. And any realization of matter transformation is based on a physical substratum, which holds equally for living systems and their behaviour. The article distinguishes between three system levels: the functional level, the interface to the environment and the cognitive level of. Using these three levels, the learning cycle or the previous Cognitive Loop can be very well illustrated. If one compares with this way of distinction the Bio-Informatization of human intelligence with the technical development stages of mechanization, automation, regulation and deep learning, then the cybernetic-sociological term “operational closure” becomes understandable. It becomes obvious that in the context of a digitized culture of production and organization, we should be prepared for a new kind of cognitive loop based on silicon (SI), an intelligent system behavior via ...
Industrie 4.0 Management | Volume 36 | 2020 | Edition 2 | Pages 52-56 | DOI 10.30844/I40M_20-2_S52-56
Digitize Delivery Processes with 0G Network and Blockchains

Digitize Delivery Processes with 0G Network and Blockchains

Digitize delivery processes and monetize them automatically
Aurelius Wosylus
Solutions to increase the efficiency of industrial supply chains, such as vendor managed inventory or Kanban, are not new. But thanks to technologies such as the 0G network from Sigfox and blockchains, it is becoming ever easier to digitize these strategies and to add automatic delivery confirmations, invoicing and collection in one go. The cost of immutable digital twins is becoming more and more affordable.
Industrie 4.0 Management | Volume 36 | 2020 | Edition 1 | Pages 53-56
Sustainability Effects of Industry 4.0

Sustainability Effects of Industry 4.0

Ökonomische, ökologische und soziale Aspekte
Marion Steven
Profit is a necessary, but not sufficient condition for long-term business success. Global problems such as climate change, depletion of natural resources and overpopulation, but also local environmental pollution and emphasis on social aspects increase the significance of sustainability for enterprises. Sustainability is already implemented in the guiding principles of all DAX 30 enterprises and accepted as maxim of action by 90 % of Fortune 500 enterprises [1]. Starting from a definition of sustainability, the subsequent contribution discusses sustainability effects of industry 4.0 concerning the economic, ecologic, and social dimension [2].
Industrie 4.0 Management | Volume 35 | 2019 | Edition 6 | Pages 11-15
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