Intelligent Scheduling Simulation Evaluation of Tractor Mixed-model Assembly Based on Digital Twin

被引:0
|
作者
Wang J. [1 ]
Liu Z. [1 ]
Gao Z. [1 ]
Wang T. [1 ]
机构
[1] School of Agricultural Engineering, Jiangsu University, Zhenjiang
关键词
digital twins; intelligent scheduling; real-time driving; simulation evaluation; tractor assembly line;
D O I
10.6041/j.issn.1000-1298.2024.04.038
中图分类号
学科分类号
摘要
Workshop scheduling is very important to improve the efficiency of the workshop. Intelligent scheduling can greatly improve the level of automation and intelligence of processing. However, in the traditional production process, most of the fixed man-hour data were used to estimate the operation time of the production line, while the mixed flow assembly of tractors was dominated by workers, and the operation time of workers was not fixed or even quite different. In order to meet the requirements of intelligent scheduling, it was proposed to simulate and evaluate the production plan through the digital twin workshop to enhance the interaction and feedback with the actual workshop. A digital twin 3D model scene and human-computer interaction interface consistent with the on-site tractor assembly line were built. According to the passing point information in the MES system, the real-time drive of the assembly line model was realized, and a digital twin system with strong expansibility and flexible reusability was established. The evaluation index of production plan was analyzed, and the interactive feedback between production plan management system and twin assembly line was proposed to realize the simulation operation and evaluation of production plan based on digital twin assembly line. Through the actual working hours collected by the digital twin assembly line, the production plan can be simulated and the optimized production plan can be obtained. The actual production plans of low-yield months, normal months and high-yield months within 5 days each were compared with the plans generated by the system. The results showed that the production plan obtained after the simulation evaluation of the system was superior. © 2024 Chinese Society of Agricultural Machinery. All rights reserved.
引用
收藏
页码:385 / 393
页数:8
相关论文
共 39 条
  • [1] HUGE Jile, GE Xue, XU Zhuqi, Et al., Optimization of automobile parts SPS feeding policy and assembly line scheduling problem [J], Chinese Journal of Automotive Engineering, 7, 5, pp. 350-356, (2017)
  • [2] HUANG Cairu, YANG Wenxin, WU Yongzhan, Research and application of multi-production on medium tractor production line [J], Tractor and Farm Transporter, 40, 4, pp. 66-74, (2013)
  • [3] TAO Fei, ZHANG Meng, Digital twin shop-floor: a new shop-floor paradigm towards smart manufacturing, IEEE Access, 5, pp. 20418-20427, (2017)
  • [4] ZHANG C, LIU J, XIONG H, Et al., Connotation, architecture and trends of product digital twin [J], Computer Integrated Manufacturing Systems, 23, 4, pp. 753-768, (2017)
  • [5] GRIEVES M, VICKERS J., Digital twin
  • [6] mitigating unpredictable, undesirable emergent behavior in complex systems [J], Transdisciplinary Perspectives on Complex Systems
  • [7] New Findings and Approaches, 4, pp. 85-113, (2017)
  • [8] GLAESSGEN E, STARGEL D., The digital twin paradigm for future NASA and US air force vehicles, 53rd Structures. In: Structural Dynamics, and Materials Conference
  • [9] Special Session on the Digital Twin, pp. 1-14, (2012)
  • [10] TAO F, SUI F, LIU A, Et al., Digital twin-driven product design i ramework[J], International Journal of Production Research, 57, 11 -12, pp. 3935-3953, (2019)