Digital Twin-Based Production Workshop Efficiency Optimization

Weiyuan Wu ()
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Weiyuan Wu: Tianjin University of Technology

A chapter in Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), 2024, pp 1236-1244 from Springer

Abstract: Abstract As the main battlefield of the new generation of intelligent manufacturing, it is crucial to explore potential problems and optimize production efficiency of the production workshop. In this paper, we propose a dynamic and iterative method to optimize the efficiency of the production workshop by taking the Overall Efficiency of Equipment (OEE) as evaluation index. Firstly, we summarize the six major time losses affecting OEE into equipment abnormal state and human loss, which can be monitored and recorded in real time. Then, we construct an optimization platform that can update OEE in real time based on digital twin. Finally, taking monitoring the start-up operating temperature of an equipment as an example, the operation process and method library update of the platform are explained, and the iterative improvement of equipment production efficiency is realized. This study has reference significance for promoting the intelligent upgrading of the production workshop.

Keywords: Digital twin; OEE; Production workshop; Support vector regression (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-256-9_126

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DOI: 10.2991/978-94-6463-256-9_126

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