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Towards Artificial Intelligence in Production: A Competence Profile for Shop Floor Managers

Rosemeyer, Jannik ; Bardy, Sebastian ; Pinzone, Marta ; Bosani, Enrica ; Schubert, Tobias ; Metternich, Joachim (2022)
Towards Artificial Intelligence in Production: A Competence Profile for Shop Floor Managers.
doi: 10.2139/ssrn.4072671
Conference or Workshop Item, Bibliographie

Abstract

Artificial intelligence (AI) technologies experience an ever-growing interest both in research and industry. Though they offer high potential for manufacturing, recent studies among practitioners reveal that there is a lack of knowledge for implementing AI in production environments and especially for leading an implementation successfully. Therefore, in this paper, a competence profile for shop floor managers has been developed. Shop floor managers are seen as suitable levers in companies for implementing AI technologies. This profile focuses on their practical requirements and encompasses relevant productionoriented use cases, social factors for engaging employees and deeper understanding of the models to interpret the results. The profile has been put into practice by means of learning content and has been tested by shop floor managers. The feedback is promising: About 78% of the testers stated that the content is helpful for them in understanding the benefits, challenges, tasks, and risks when implementing AI based projects. The results serve as a baseline for future development of learning materials with corresponding exercises to be taught in learning factories targeting the hands-on AI implementation.

Item Type: Conference or Workshop Item
Erschienen: 2022
Creators: Rosemeyer, Jannik ; Bardy, Sebastian ; Pinzone, Marta ; Bosani, Enrica ; Schubert, Tobias ; Metternich, Joachim
Type of entry: Bibliographie
Title: Towards Artificial Intelligence in Production: A Competence Profile for Shop Floor Managers
Language: English
Date: 2022
Publisher: Elsevier
Book Title: Proceedings of the 12th Conference on Learning Factories (CLF 2022)
Series: SSRN eLibrary
DOI: 10.2139/ssrn.4072671
Abstract:

Artificial intelligence (AI) technologies experience an ever-growing interest both in research and industry. Though they offer high potential for manufacturing, recent studies among practitioners reveal that there is a lack of knowledge for implementing AI in production environments and especially for leading an implementation successfully. Therefore, in this paper, a competence profile for shop floor managers has been developed. Shop floor managers are seen as suitable levers in companies for implementing AI technologies. This profile focuses on their practical requirements and encompasses relevant productionoriented use cases, social factors for engaging employees and deeper understanding of the models to interpret the results. The profile has been put into practice by means of learning content and has been tested by shop floor managers. The feedback is promising: About 78% of the testers stated that the content is helpful for them in understanding the benefits, challenges, tasks, and risks when implementing AI based projects. The results serve as a baseline for future development of learning materials with corresponding exercises to be taught in learning factories targeting the hands-on AI implementation.

Uncontrolled Keywords: artificial intelligence, shop floor manager, machine learning, vocational learning, competence
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Institute of Production Technology and Machine Tools (PTW)
16 Department of Mechanical Engineering > Institute of Production Technology and Machine Tools (PTW) > CiP Center for industrial Productivity
Date Deposited: 19 May 2022 05:54
Last Modified: 19 May 2022 05:54
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