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Approaches to Improve Shop Floor Management

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Human Interaction, Emerging Technologies and Future Applications III (IHIET 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1253))

Abstract

The task of shop floor management is to ensure high effectiveness and efficiency of a production system. The objective of this paper is to identify potentials for improvement of shop floor management in the context of digitalization and to identify fields of action. As a result, the paper shows four categories of deficits in shop floor management, respectively information management. First, insufficiently designed business processes lead to additional administrative work for shop floor managers. Second, shop floor management can be strengthened by improving e-mail communication. Third, the meeting organization and fourth, the reporting offer potential for improvement. The creation of reports and the preparation of key figures, for example, involve routine activities that do not add value and can be partially automated. Therefore, as part of the project, a shop floor board was prototypically developed using a low-code development platform in order to demonstrate the potential of this approach.

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Acknowledgment

The research and development project AWARE is funded by the Ministry of Economic Affairs, Innovation, Digitalization and Energy of the State of North Rhine-Westphalia (MWIDE) in the context of the Leading-Edge Cluster “Intelligent Technical Systems OstWestfalenLippe (it’s OWL)”.

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Correspondence to Sven Hinrichsen .

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Hinrichsen, S., Adrian, B., Schulz, A. (2021). Approaches to Improve Shop Floor Management. In: Ahram, T., Taiar, R., Langlois, K., Choplin, A. (eds) Human Interaction, Emerging Technologies and Future Applications III. IHIET 2020. Advances in Intelligent Systems and Computing, vol 1253. Springer, Cham. https://doi.org/10.1007/978-3-030-55307-4_63

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  • DOI: https://doi.org/10.1007/978-3-030-55307-4_63

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-55306-7

  • Online ISBN: 978-3-030-55307-4

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