Training

Sustainable HR Management

Sustainable HR Management

Its importance for realizing sustainability in industrial manufacturing
Uta Kirschten
Industrial manufacturing offers a wide range of opportunities for a more ecologically compatible and socially just organization. Sustainability-oriented HR management can competently support industrial manufacturing companies in the design and implementation of sustainable manufacturing. It is important to integrate ecological, social and economic requirements into the respective areas of responsibility. In addition, employees must be motivated and qualified to adopt environmentally friendly working practices in order to be able to implement sustainable manufacturing in practice. Sustainable incentive systems and employee-oriented personnel management must also be taken into account.
Industry 4.0 Science | Volume 40 | 2024 | Edition 1 | Pages 50-56
Digital Business Models in Medium­Sized Family Businesses

Digital Business Models in Medium­Sized Family Businesses

Obstacles to the Estab­lishment and How They Are Defeated
Ove Friedrichsen, Michael Heins
Digital transformation is a crucial factor for the competitiveness of companies. This article explores obstacles and their interrelationships in establishing digital business models in medium-sized family businesses as well as initial approaches to overcoming these obstacles.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 6 | Pages 12-16 | DOI 10.30844/IM_23-6_12-16
Innovation Laboratory Digitalization

Innovation Laboratory Digitalization

Product Development Utilizing Design Thinking in a Makerspace
Michael Mattern, Sebastian Bast ORCID Icon, Kai Scherer ORCID Icon, Klaus-Uwe Gollmer ORCID Icon, Michael Wahl
Makerspaces foster creativity, collaborative work and craftsmanship. Anyone interested can use tools, machines and technologies to realize their own projects and develop their technical skills in the process. They also provide an inspiring environment where people with different backgrounds and expertise come together to learn, experiment and support each other. The following article discusses the importance, features and equipment of makerspaces, in particular the Innovation Laboratory Digitalization, which promotes interdisciplinary work at the Trier University of Applied Sciences and serves as an interface to the specialized labs. In addition, the process of prototyping is described using several application examples.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 6 | Pages 61-65 | DOI 10.30844/IM_23-6_61-65
Open Innovation

Open Innovation

Strengthening Innovation in SMEs
Annette Henn ORCID Icon, Dirk Sackmann
Despite the fact that SME innovation is critical to a country’s economic success, SMEs spend less than 50 % of their budget on R&D when compared to large companies. “Open innovation”is seen as helping SMEs to improve their competitive position. For regions dominated by SMEs it is important to develop an ecosystem that supports open innovation processes. Universities can be key enablers within these ecosystems. They support SMEs with their expertise in science and engineering as well as in innovation and project management. In this article we present a case study to demonstrate the role of a university of applied sciences in an open innovation ecosystem.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 6 | Pages 17-21
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
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