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2022 | OriginalPaper | Chapter

Asset Description of Digital Twin for Resilient Production Control in Rechargeable Battery Production

Authors : Kyu Tae Park, Yang Ho Park, Yun-Hyok Choi, Moon-Won Park, Sang Do Noh

Published in: Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action

Publisher: Springer Nature Switzerland

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Abstract

In rechargeable battery production—a component of mass customization—high quality, low cost, efficient delivery, and flexibility must be ensured. Efficient production operation can be achieved by solving the performance degradation problem, which is a limitation of mass customization. This degradation can be prevented through resilience, which can be achieved by satisfying four core functional requirements, which are as follows: (1) selecting robust actions; (2) measuring performance indicators; (3) notifying impermissible fluctuations; and (4) extracting the adjusted reactions. A digital twin (DT) is an advanced virtual asset that represents configuration, reflects functional units, and synchronizes information objects. This article describes DT application to satisfy the four core functional requirements and reflect the operational characteristics of three heterogeneous stations in rechargeable battery production. Analyses of the measures taken to achieve the resilience and operational characteristics of stations in rechargeable battery production are provided to present an appropriate design of the description. The asset description is designed with P4R classes based on this analysis. The designed asset description is applied to stations in rechargeable battery production, and the proposed method is verified with the implemented DT application. The proposed asset description presents an efficient method of satisfying the core activities and technical functionalities corresponding to the DT. The proposed method is an early case of DT usage in rechargeable battery production and can be considered as a reference for smart manufacturing technologies in the manufacturing domain in the future.

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Title: Asset Description of Digital Twin for Resilient Production Control in Rechargeable Battery Production
Authors: Kyu Tae Park
Yang Ho Park
Yun-Hyok Choi
Moon-Won Park
Sang Do Noh
Publisher: Springer Nature Switzerland
Book: Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action
Print ISBN: 978-3-031-16410-1

Electronic ISBN: 978-3-031-16411-8

Copyright Year: 2022
DOI: https://doi.org/10.1007/978-3-031-16411-8_62

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