• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2021, Vol. 57 ›› Issue (5): 185-195.doi: 10.3901/JME.2021.05.185

• 数字化设计与制造 • 上一篇    下一篇

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面向机床精密主轴加工过程的混合流水生产线分批调度研究

李静, 高华钰, 沈南燕, 方明伦, 朱凯   

  1. 上海大学上海市智能制造及机器人重点实验室 上海 200072
  • 收稿日期:2020-02-11 修回日期:2020-08-19 出版日期:2021-03-05 发布日期:2021-04-28
  • 通讯作者: 沈南燕(通信作者),女,1982年出生,博士,副教授,博士研究生导师。主要研究方向为智能机床及磨削技术。E-mail:shny@shu.edu.cn
  • 作者简介:李静,女,1982年出生,博士,副教授,博士研究生导师。主要研究方向为先进制造装备及磨削技术。E-mail:ian1982@shu.edu.cn
  • 基金资助:
    国家科技重大专项资助项目(2016ZX04004003)。

Research on Batch Scheduling of Hybrid Production Line for Machine Tool Precision Spindle Processing

LI Jing, GAO Huayu, SHEN Nanyan, FANG Minglun, ZHU Kai   

  1. Shanghai Key Lab of Intelligent Manufacturing and Robotics, Shanghai University, Shanghai 200072
  • Received:2020-02-11 Revised:2020-08-19 Online:2021-03-05 Published:2021-04-28

摘要: 面向机床精密主轴加工过程,对混合流水生产调度问题进行研究。通过深入分析机床精密主轴加工工艺流程,以主轴粗精磨削工艺、分批规则、设备利用率等作为约束条件,以加工时间最小化为目标,建立混合流水生产模式下、机床精密主轴加工智能分批调度模型,并设计了基于差分进化-遗传混合算法的二阶段优化算法对模型进行求解;以某精密主轴生产线的实际订单为例进行仿真实验,与传统加工方案及其他典型分批调度算法对比分析,验证了该智能分批调度模型的有效性、算法的准确性及解决实际问题的优越性,能够有效缩短生产节拍,提高加工效率和设备利用率。

关键词: 机床精密主轴, 混合生产线, 智能调度, 批次划分, 排序优化

Abstract: Faced machine tool precision spindle Processing, the production scheduling problems with hybrid flow job is studied. Firstly, Through analyzing the machine precision spindle machining process, an intelligent batch scheduling model of hybrid production line is built, with factors of the spindle grinding process, batching rules and equipment utilization etc., as restriction conditions, minimizing the total machining time and so on. Then, a two-stage optimization algorithm based on differential evolution algorithm and genetic algorithm is designed to solve the model. The actual experiment of a precision spindle production line is taken as an example to experiment, and compared with traditional processing schemes and another typical batch scheduling schemes. The result shows the effectiveness of the intelligent batch scheduling model, the accuracy and the superiority in solving practical problems of the algorithm, which can effectively shorten the production cycle and improve the processing efficiency and equipment utilization.

Key words: precision spindle of machine, hybrid production line, intelligent scheduling, batch division, sorting optimization

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