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兵工学报 ›› 2025, Vol. 46 ›› Issue (4): 240200-.doi: 10.12382/bgxb.2024.0200

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基于数字孪生的定制化士兵装备装箱生产过程优化方法

高丰1,*(), 赵宁2, 庄存波1, 于冬梅3   

  1. 1 北京理工大学 机械与车辆学院, 北京 100081
    2 北京科技大学 机械工程学院, 北京 100083
    3 中国兵器工业第二○八研究所, 北京 102202
  • 收稿日期:2024-03-19 上线日期:2025-04-30
  • 通讯作者:

Digital Twin-driven Customized Individual Equipment Packing Production Optimization

GAO Feng1,*(), ZHAO Ning2, ZHUANG Cunbo1, YU Dongmei3   

  1. 1 School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
    2 School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China
    3 No.208 Research Institute of China Ordnance Industries, Beijing 102202, China
  • Received:2024-03-19 Online:2025-04-30

摘要:

士兵装备与战士的身高、体重、任务分工等密切相关,具有高度定制化和大批量生产特征,而定制化和大批量生产给士兵装备生产交付带来了巨大挑战。装箱是士兵装备生产的最后环节,也是实现定制化和大批量生产最难环节,针对这一难题,提出一种基于数字孪生的士兵装备装箱生产过程优化方法。建立士兵装备装箱生产过程的数字孪生模型;通过仿真刻画士兵装备铺货补货、箱子运输、工人拣货、装箱等整个生产过程,并通过改进遗传算法对生产过程进行优化。将所提方法在某装备生产企业进行实际应用,通过迭代仿真实现了货位配置、工人数量和搬运设备数量的最佳设计和优化,有效解决士兵装备大规模个性化生产中动态性高,拥堵锁死频发,生产周期长,工位忙闲不均衡以及漏装错装问题发现不及时等难题,士兵装备的装箱生产效率提升了11.18%。

关键词: 装备拣选, 大规模定制化生产, 数字孪生, 改进遗传算法, 生产优化

Abstract:

Individual equipment is closely related to the user’ height and weight as well as the task division,and has the characteristics of high customization and mass production,which bring great challenges to the production and delivery of individual equipment.Packing is the last step of individual equipment production,and is also the most difficult step to achieve customization and mass production.To solve this problem,an optimization method of individual equipment packing production process based on digital twin is proposed.First,a digital twin model of individual equipment packing production process is established.Secondly,the whole production process of individual equipment,such as distribution and replenishment,transportation,workers’ picking and boxing,is described by simulation,and the production process is optimized by an improved genetic algorithm.Finally,the proposed method is actually applied in equipment production.The optimal design and optimization of the cargo location,the number of workers and the number of handling equipment are realized by iterative simulation,thus effectively solving the problems of highly dynamic,congestion and transportation conflicts,long production cycle,unbalanced busy and idle stations,and delayed detection of misloading in large-scale customized production of individual equipment.The production efficiency of soldier equipment packing is improved by 11.18%.

Key words: equipment selection, large-scale customized production, digital twin, improved genetic algorithm, production optimization

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