Dynamic decision-making of manufacturing resource based on digital twin

被引：0
|
作者：
Zhang H. [1 ]
Yan Q. [2 ]
Zhang G. [2 ]
Li Q. [3 ]
Yu J. [3 ]
机构：
[1] School of Aeronautical Engineering, Zhengzhou University of Aeronautics, Zhengzhou
[2] School of Management Engineering, Zhengzhou University of Aeronautics, Zhengzhou
[3] AECC Xi'an Aero-Engine Ltd., Xi'an
来源：
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2021年 / 27卷 / 02期
关键词：
Digital twin; Dynamic selection; Multi-Agent; Multi-criteria decision making; Petri nets; Reference ideal method;
D O I：
10.13196/j.cims.2021.02.019
中图分类号：
学科分类号：
摘要：
Owing to lack of accurate and real-time data for the service-oriented intelligent manufacturing and few mechanisms exist to tackle the dynamic and collaborative decision-making, a dynamic decision-making method of manufacturing resource based on digital twin was proposed. The framework of dynamic decision-making of manufacturing resource based on digital twin was established. Moreover, device digital twin including Cloud-Deployed Digital Twin and Edge-Deployed Digital Twin and product digital twin were proposed to provide the real-time and accurate decision-making data. A multi-party collaborative mechanism based on real-time multi-agent was designed, and the hierarchical timed colored Petri Net was employed to model and analyze some complex manufacturing tasks. Furthermore, the rank correlation analysis was introduced to obtain the comprehensive weight, and the reference ideal method was introduced to perform a comprehensive evaluation of manufacturing resource. The proposed approach of dynamic decision-making was applied to some aero-engine blade manufacturing factory. The feasibility and validity of the proposed decision-making method were verified by the experimental decision results. © 2021, Editorial Department of CIMS. All right reserved.
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页码：521 / 535
页数：14
相关论文
共 19 条
  • [11] TAO Fei, ZHANG Meng, CHENG Jiangfeng, Et al., Digital twin workshop: A new paradigm for future workshop, Computer Integrated Manufacturing Systems, 23, 1, pp. 1-9, (2017)
  • [12] ZHANG Haijun, ZHANG Guohui, YAN Qiong, Digital twin-driven cyber-physical production system towards smart shop-floor, Journal of Ambient Intelligence and Humanized Computing, 10, 11, pp. 4439-4453, (2019)
  • [13] TAO Fei, LIU Weiran, ZHANG Meng, Et al., Five-dimension digital twin model and its ten applications, Computer Integrated Manufacturing Systems, 25, 1, pp. 1-18, (2019)
  • [14] YIN Chao, LUO Peng, LI Xiaobin, Et al., Optimal selection method for machine tool resource based on Multi-Agent, Computer Integrated Manufacturing Systems, 22, 6, pp. 1474-1484, (2016)
  • [15] LENG Jiewu, JIANG Pingyu, XU Kailin, Et al., Makerchain: A blockchain with chemical signature for self-organizing process in social manufacturing, Journal of Cleaner Production, 234, pp. 767-787, (2019)
  • [16] JIANG Zhibin, Petri net and its application of manufacturing system modeling and controlling, pp. 70-72, (2004)
  • [17] WANG Xuejun, GUO Yajun, LAN Tian, Rank correlation analysis of formation of consistent judgment matrix, Journal of Northeastern University, 27, 1, pp. 115-118, (2006)
  • [18] CABLESA E, LAMATAB M T, VERDEGAY J L., RIM-reference ideal method in multicriteria decision making, Information Sciences, 337-338, pp. 1-10, (2016)
  • [19] CPN Tools
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