| 考虑效率差异和流动分配的混流装配线工人优化 |
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| 引用本文： | 胡明茂,齐二石,赵锎,章弘毅.考虑效率差异和流动分配的混流装配线工人优化[J].工业工程,2019,22(3):9-18. |
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| 作者姓名： | 胡明茂 齐二石 赵锎 章弘毅 |
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| 作者单位： | 天津大学管理与经济学部,天津300072;湖北汽车工业学院机械工程学院,湖北十堰442002;天津大学管理与经济学部,天津,300072;湖北汽车工业学院机械工程学院,湖北十堰,442002 |
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| 基金项目： | 国家自然科学基金资助项目（71401158）；中国博士后科学基金资助项目（2015M581301）；国家社会科学基金资助项目（17BGL238）；湖北省自然科学基金资助项目（2014CFB625）；教育部人文社会科学研究青年基金资助项目（19YJC63063） |
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| 摘 要： | 本文研究了考虑工人装配水平差异、不同工位之间可以流动分配的装配线工人优化调度,在确定混流装配线的排序后,装配工人在其最擅长的工位工作,在完成本工位的工作后参与其他工位的装配工作,定义相关的优化因素变量和约束条件,建立了考虑工人工位效率差异且可流动分配的混流装配线工人优化数学模型。采用削峰填谷算法和多种群移民算法进行工人的调整和均衡优化,利用一个三层神经网络对削峰填谷的工位进行评估选择,得到工人的最优分配方案,最后通过Matlab对举例进行了验证。算例优化后,减少了2名装配工人,并提高了装配线的平衡率。
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| 关 键 词： | 混流装配 工人优化 效率差异 流动分配 |
| 收稿时间： | 2018-08-22 |
An Optimization of Workers in Mixed Assembly Line Considering Efficiency Differences and Distribution in Different Station |
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| HU Mingmao,QI Ershi,ZHAO Kai,ZHANG Hongyi.An Optimization of Workers in Mixed Assembly Line Considering Efficiency Differences and Distribution in Different Station[J].Industrial Engineering Journal,2019,22(3):9-18. |
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| Authors: | HU Mingmao QI Ershi ZHAO Kai ZHANG Hongyi |
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| Affiliation: | 1. College of Management & Economics, Tianjin University, Tianjin 300072, China;2. College of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan 442002, China |
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| Abstract: | The optimal workers scheduling of assembly line considering the differences in worker assembly levels and the flow distribution between different workstations was analyzed. After determining the sort of mixed flow assembly line, the assembly worker worked in the workstation where she/he was good at and took part in the assembly work of other stations after completing the work in this workstation. An optimized mathematical model of mixed-flow assembly line workers considering the difference in workstation efficiency and flow distribution was established after the definition of the relevant optimization factor variables and constraints. The peak sharpening algorithm and multiple population migration algorithm were adopted for the adjustment of the workers and balance optimization, and then a three-layer neural network to evaluate peak cutting the location choice was used to obtain the optimal allocation of workers. Finally, an example was given to verify the listed model with Matlab, and two assembly workers were reduced and the assembly line balance rate was increased. |
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| Keywords: | mixed flow assembly worker optimization efficiency difference flow distribution |
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