Journal of System Simulation ›› 2019, Vol. 31 ›› Issue (11): 2323-2334.doi: 10.16182/j.issn1004731x.joss.19-FZ0375

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Intelligent Manufacturing Plan Management Based on Digital Twins

Xiao Yingying1,2,3, Wang Mei1,2, Guo Liqin1,2, Xing Chi1,2,3, Zhuang Changhui1,2   

  1. 1. Beijing Complex Product Advanced Manufacturing Engineering Research Center, Beijing Simulation Center, Beijing 100854, China;
    2. State Key Laboratory of Intelligent Manufacturing System Technology, Beijing Institute of Electronic System Engineering, Beijing 100854, China;
    3. Science and Technology on Space System Simulation Laboratory, Beijing Simulation Center, Beijing 100854, China
  • Received:2019-05-21 Revised:2019-07-24 Online:2019-11-10 Published:2019-12-13

Abstract: For the multi-variety and small-batch manufacturing mode, the planning management system cannot be timely automatically adjusted according to uncertain factors. This paper proposes an intelligent manufacturing plan management system based on factory digital twins. The plan management PDCA business process model is established. In addition, the processing logic model and constraints of the periodic static scheduling model and the dynamic emergency scheduling model are proposed. Based on the planning management case of hybrid assembly of two types of aerospace complex products, it is verified that the management model proposed in this paper can support the intelligent dynamic adjustment of plans for different orders and resource states, and improve the processing efficiency of the workshop to cope with uncertain factors.

Key words: planning management, intelligent manufacturing, digital twins, dynamic scheduling

CLC Number: