AI

Artificial Intelligence in ERP Systems

Artificial Intelligence in ERP Systems

Development potential and benchmarking
Marcus Grum ORCID Icon, Nicolas Korjahn
The use of artificial intelligence (AI) is becoming more important for a variety of industries, which is why enterprise resource planning (ERP) systems also offer many possible uses of AI. Due to their newly acquired, AI-based adaptability and learning abilities, modern AI-integrated ERP systems are able to develop competencies, plan processes, make forecasts and interact intelligently with humans. It is not uncommon for such systems to initiate major structural changes for companies and to open up new markets and design areas [1]. In order to measure the progress of an ERP system in terms of AI, the Center for Enterprise Research (CER) has developed an AI maturity model. Building on this model, a tool for evaluating AI integration in an ERP system should be able to showcase potential for development and enable market comparison.
Industry 4.0 Science | Volume 39 | 2023 | Edition 1 | Pages 100-105 | DOI 10.30844/I4SE.23.1.100
Trends and Challenges in Factory Software

Trends and Challenges in Factory Software

Norbert Gronau ORCID Icon
Any networked information system that is used in the context of manufacturing and logistics in a factory can be referred to as factory software. This article describes six trends that will significantly influence the way software is used in factories in the near future. The trends are described in ascending order in terms of significance of impact.
Industry 4.0 Science | Volume 39 | 2023 | Edition 1 | Pages 114-119 | DOI 10.30844/I4SE.23.1.114
AI-Based Assistance Systems in Corporate Learning Processes

AI-Based Assistance Systems in Corporate Learning Processes

Gergana Vladova, Norbert Gronau ORCID Icon
Assistance systems are being used increasingly in the context of digital transformation. They can support employees in industrial production processes both in the learning phase and in the active work phase. In this way, competencies can be built up in a way that is close to the workplace and the process as well as demand-oriented. This paper discusses the current state of research on the possible applications of these assistance systems and illustrates them with examples. Among other things, the current challenges are also highlighted. At the end of the paper, focal points for the future development of AI in industrial learning processes and research on this are identified.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 2 | Pages 11-14
Common Sense Instead of MBA

Common Sense Instead of MBA

How to recognize sustainable leaders
Hans Rosenkranz
Management tools are a dime a dozen. The US-American strategy consultancy Bain & Company, for example, analyses regularly the 25 most popular of them worldwide. However, the best tool is only as good as its user. The proper and efficient utilization requires common sense. If a manager has it or not can be identified by the following qualities: He knows that others see him different from how he sees himself. He sets high value on a respectful feedback culture in his company, and he counts on the power of cooperation.
Industrie 4.0 Management | Volume 35 | 2019 | Edition 2 | Pages 57-60 | DOI 10.30844/I40M_19-2_S57-60
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