Abstract
Industry 5.0 characterizes a paradigm shift in which the main goal is no longer the need to boost economic benefits brought about by the unending increase in production processes in automated environments, but to create intelligent environments that are more focused on the collaboration of humans and machines. The effective structure of an automated system depends drastically on Human–Machine Interaction; however, there is currently very little research on the progress of collaborative decision-making that considers how people will adapt to and accept it. The Overall Equipment Effectiveness is a Key Performance Indicator used in the manufacturing industry for the measurement, evaluation and boosting of performance effectiveness of production processes. In the context of this study, the Overall Equipment Effectiveness is used for determining and indicating when the human operator should carry out a task/action and when the machine should operate automatically during a production process in an Industry 5.0 setting. The paper initially discusses Smart manufacturing, Human–Machine Interaction, Industry 5.0 and the OEE. Secondly, the paper discusses the research methodology of a single-case experimental set-up for determining the OEE enabling collaborative decision-making. The discussion of the OEE's performance in an Industry 5.0 environment related to the case study concludes the paper.
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Coetzer, J., Kuriakose, R.B., Vermaak, H.J. (2024). Using the OEE Score to Enable Collaborative Decision-Making for Human–Machine Interaction in an Industry 5.0 Setting. In: Iglesias, A., Shin, J., Patel, B., Joshi, A. (eds) Proceedings of World Conference on Information Systems for Business Management. ISBM 2023. Lecture Notes in Networks and Systems, vol 834. Springer, Singapore. https://doi.org/10.1007/978-981-99-8349-0_22
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