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A digital twin-based flexible cellular manufacturing for optimization of air conditioner line
Journal of Manufacturing Systems ( IF 12.1 ) Pub Date : 2020-07-01 , DOI: 10.1016/j.jmsy.2020.07.012
Hongfei Guo , Minshi Chen , Khalgui Mohamed , Ting Qu , Siming Wang , Jianke Li

Abstract In a personalized and various production mode, the production line needs to be updated quickly to meet market demand. The Optimization of production line is taken as the object. To address the coupling problems, such as unreasonable production line layout, unbalanced process capability, inaccurate logistics distribution and unintelligent equipment testing, a method of flexible cellular manufacturing based on digital twin is put forward. Decoupling based on event mechanisms and multi-objective optimization will be used in the design of methods, which will be continuously optimized in the simulation and will eventually be validated. After the implementation of an air conditioner line, the production capacity increased by 58.3 %, the WIP decreased by 77.8 %, the balance rate of the production line increased by 25.2 %, and the per capita production capacity increased by 29.8 %. The number of operators decreased by 28.3 %. The results show that the optimization method of flexible cellular manufacturing based on digital twin has practical value and guiding significance to improve the efficiency of production line.

中文翻译:

基于数字孪生的柔性蜂窝制造用于优化空调生产线

摘要 在个性化、多样化的生产模式下,生产线需要快速更新以满足市场需求。以生产线优化为对象。针对产线布局不合理、工艺能力不平衡、物流配送不准确、设备测试不智能等耦合问题,提出了一种基于数字孪生的柔性单元制造方法。方法的设计将采用基于事件机制的解耦和多目标优化,在仿真中不断优化,最终得到验证。一条空调线实施后,产能提高58.3%,WIP下降77.8%,产线平衡率提高25.2%,人均生产能力增长29.8%。运营商数量减少28.3%。结果表明,基于数字孪生的柔性单元制造优化方法对提高产线效率具有实用价值和指导意义。
更新日期:2020-07-01
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