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Author:

Zhifeng, L.I.U. (Zhifeng, L.I.U..) (Scholars:刘志峰) | Yueze, Zhang (Yueze, Zhang.) | Caixia, Zhang (Caixia, Zhang.) | Jun, Y.A.N. (Jun, Y.A.N..) | Shiyao, G.U.O. (Shiyao, G.U.O..)

Indexed by:

EI Scopus

Abstract:

Compared with other production methods, multi-variety, small-batch production driven by order become a lot more sensitive to the disturbances of workshop environment, orders, and processing equipment. This makes a great impact on workshop scheduling. Aiming at this problem, this paper designs a real-time workshop digital twin scheduling platform for discrete manufacturing. It improves the flexibility of the intelligent workshop and the response processing speed after dynamic disturbance. The platform can real-time monitor of the physical workshop and track orders, products, equipment and other information. Further, the platform and visualization technology were explored to work together. Then, the true display of changes after production line decision was displayed. It enables managers to carry out production scheduling verification in the virtual workshop, which reduces the repeated changes of physical workshop production scheduling. Finally, the platform was verified in a discrete manufacturing workshop. The scheduling platform based on digital twins helps manager to immersivity develop factory production strategies. The production efficiency was then enhanced. The platform can ensure the effective operation of the manufacturing system. © Published under licence by IOP Publishing Ltd.

Keyword:

Scheduling Digital twin Managers Production control Manufacture

Author Community:

  • [ 1 ] [Zhifeng, L.I.U.]Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Yueze, Zhang]Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Caixia, Zhang]Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Jun, Y.A.N.]Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 5 ] [Shiyao, G.U.O.]Beijing Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Beijing; 100124, China

Reprint Author's Address:

  • 刘志峰

    [zhifeng, l.i.u.]institute of advanced manufacturing and intelligent technology, beijing university of technology, beijing; 100124, china

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Source :

ISSN: 1742-6588

Year: 2021

Issue: 1

Volume: 1884

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 6

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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