Technologie: Training

Optimizing Production Processes with AI-based Knowledge Transfer

Optimizing Production Processes with AI-based Knowledge Transfer

How AI can secure human-oriented, experiential knowledge in the KI-eeper project
Nicole Ottersböck, Holger Dander ORCID Icon, Christian Prange ORCID Icon
Implicit experiential knowledge will be lost through the retirement of the babyboomer generation. This know-how is difficult to capture and transfer. The KI_eeper project aims to develop an efficient AI-based system that automatically identifies and stores knowledge in the work process. The resulting knowledge base will provide assistance to all employees. The system will be designed in cooperation with employees according to their needs to gain high user acceptance.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 6 | Pages 51-54
Potentials and Application of the Industrial Metaverse

Potentials and Application of the Industrial Metaverse

Convergence from simulation to reality
Oliver Petrovic, Yannick Dassen, Christian Brecher
This paper deals with the concept of the Industrial Metaverse and its potential impact on the manufacturing industry. First, the possibilities of the Industrial Metaverse are explained in general and then possible resulting functionalities for production technology along the life cycle are presented. For the two topics "Synthetic Data Generation" and "Virtual Qualification" the implications of the Industrial Metaverse are considered more concretely.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 5 | Pages 27-32 | DOI 10.30844/IM_23-5_27-32
Tool for Data-Based Continuous Improvement in Manufacturing Companies

Tool for Data-Based Continuous Improvement in Manufacturing Companies

Konstantin Neumann, Nicole Oertwig ORCID Icon
The introduction of Lean Management System and their continuous improvement regularly poses challenges for companies. In the face of advancing digitalisation, new opportunities for analysis are opening up that also support the continuous improvement process. The article shows how process orientation, digitalisation and operational activities can be systematically applied for the development and integration of a data-based continuous improvement process in manufacturing companies. (Only in German)
Industrie 4.0 Management | Volume 39 | 2023 | Edition 5 | Pages 13-16
The Power of People in Pandemic Times

The Power of People in Pandemic Times

Driving Supply Chain Resilience through Corporate Culture
Nils-Ole Hohenstein
The assertion “Our people are what set us apart from our rivals” is a common statement made by nearly every company, highlighting the significance of their people as the most valuable asset. Similarly, a corporate culture emphasizing risk awareness and learning from experiences has played a key role in shaping supply chain resilience (SCRES) amidst competitive dynamics in response to the COVID-19 pandemic. Employee engagement, communication, and collaboration, as dimensions of SC risk awareness, determine the effectiveness of firms’ cultures in handling large-scale disruptions with robustness and agility. Additionally, the COVID-19 crisis has had a positive impact on firms’ learning orientation. The crucial necessity of digital supply chain (SC) transformation to enhance SCRES under pandemic conditions has further reinforced the need for dynamic adaptation and reconfiguration of firms’ culture and employee skillsets through digital upskilling.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 4 | Pages 25-30 | DOI 10.30844/IM_23-4_25-30
Automate Processes Strategically Instead of Selectively

Automate Processes Strategically Instead of Selectively

How and why a Center of Automation ignites the digitization booster—not only in related fields
Steffen Weiers
Many departments have already recognized the enormous increase in efficiency and personnel relief from routine activities through process automation. These digital thought leaders have begun to automate office processes using new technologies such as Robotic Process Automation (RPA), low code in the Microsoft Power Platform or in SAP. However, the positive experiences often remain in individual departments. Due to the lack of a strategic superstructure, companies as a whole have not yet succeeded in systematically transferring the added values to all areas. The organizational solution for this is called a "Center of Automation". Sometimes it is enough for the team to consist of two members to bring an overarching, digital process mindset into a company. (Only in German)
Industrie 4.0 Management | Volume 39 | 2023 | Edition 1 | Pages 58-62
From Random Sampling to Real-time Data

From Random Sampling to Real-time Data

Integrated plant engineering to increase process capability
Alexander Seelig
The digitization of processes is complex and error-prone. That is why manufacturing processes are monitored using statistical process control methods. The aim of the presented project was to answer the questions how the data basis for the use of the quality control chart (QRC) can be extended from random samples to near real-time data and how the implementation of the solution should be done. The software solution was developed and tested in the Fischertechnik learning factory. It could be shown that the data from the learning factory is suitable to be displayed in a closely timed manner and to be evaluated by means of process indicators of the QRK. In this way, errors can be avoided and capacities saved. (Only in German)
Industrie 4.0 Management | Volume 39 | 2023 | Edition 1 | Pages 48-52
Work 4.0 – Logistics Working World of Tomorrow

Work 4.0 – Logistics Working World of Tomorrow

Effects and consequences of digitalization on the logistical working world
Tobias Reichert, Marc Lorscheider
In the course of digitalization, more and more digital technologies are being used in various areas of logistics. The occupational field is changing and problem-solving and abstracting skills as well as competencies in dealing with IT systems and data are increasingly required. Based on a literature review, this article provides an overview of the current situation in the logistics working world. Effects of digitalization as well as requirements and future competencies in the working world 4.0 are highlighted. Finally, a guideline for the management level is derived in order to promote the acquisition of competencies. (Only in German)
Industrie 4.0 Management | Volume 38 | 2022 | Edition 5 | Pages 30-34
Use Artificial Intelligence for Internal Videos

Use Artificial Intelligence for Internal Videos

Michael Kummer
Huge amounts of information are stored in the memory of every employee. How a product works, best practices in departments, customer-specific information, general market and competitive knowledge, etc. This expertise is a blind spot in most companies. So how do you make in-house know-how available? And in a time when many employees work remotely, in home offices, even across countries or continents?
Industrie 4.0 Management | Volume 38 | 2022 | Edition 5 | Pages 61-63
How Does the Image of the HR Department Influence Recruiting?

How Does the Image of the HR Department Influence Recruiting?

David Padilla
Manufacturing companies are currently facing many hurdles. It is becoming increasingly difficult for them to find qualified workers, so-called blue collar workers. Technology adoption and system usability also pose challenges in the industry, as digital time tracking and shift scheduling are far from the norm in the industrial sector. Human resources software should facilitate the daily tasks of departments in order to achieve business goals. The use of such technologies saves valuable time as processes are automated. The needs of employees are put in the foreground to improve both resource planning and communication of manufacturing companies.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 5 | Pages 64-66
Artificial Intelligence and Future of Work

Artificial Intelligence and Future of Work

Changes and Possible Approaches
Andreas Heindl, Alexander Mihatsch
Artificial intelligence (AI) is already an important part of business models and processes of many companies. In the future, AI systems will pro- foundly change our working environment. AI systems can develop completely new potential for companies in a wide variety of sectors and domains - especially in industry. Existing busi- ness models can be optimized along the value chain by optimizing production flows and processes or avoiding production downtimes with predictive maintenance. At the same time, AI systems can enable completely new business models and thus radically change existing mar- ket structures through new players. The AI economy of tomorrow will be more individual, more precise and more sustainable: Competitive value creation without AI will not be possible in many areas of industry.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 4 | Pages 10-14
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