A framework for digital twin driven product recycle, disassembly and reassembly

B. B. Huang, Y. F. Zhang, G. Zhang, S. Ren

科研成果: 期刊稿件会议文章同行评审

4 引用 (Scopus)

摘要

Remanufacturing plays an important role in promoting sustainable production. Novel models and methods have been proposed to optimize the key phases of remanufacturing, such as recycling decision-making, disassembly control, parts classification, and reassembly management. However, the implementation of product remanufacturing still faces some challenges: 1) uncertain features of recycling increasing complexity of remanufacturing, 2) difficulty of physical disassembly, 3) imprecise quality classification of returned products, and 4) exceptions existing in remanufacturing processes. As the development of advanced information technologies (e.g. internet of things) and simulation technologies, digital twin was proposed and gained wide attention. By digital twin technologies, the behaviors of physical entities can be monitored, simulated and validated in virtual space to facilitate optimizing the physical activities and making informed decisions. In this paper, a framework for digital twin driven product recycle, disassembly and reassembly was proposed to optimize product remanufacturing processes. Within the proposed framework, real-time management and optimization of remanufacturing processes can be achieved. A proof-of-concept case was used to illustrate the potential future application mode of proposed framework.

源语言英语
期刊Proceedings of International Conference on Computers and Industrial Engineering, CIE
2018-December
出版状态已出版 - 2018
活动48th International Conference on Computers and Industrial Engineering, CIE 2018 - Auckland, 新西兰
期限: 2 12月 20185 12月 2018

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