系统仿真学报 ›› 2023, Vol. 35 ›› Issue (5): 920-935.doi: 10.16182/j.issn1004731x.joss.22-0077

• 论文 • 上一篇    下一篇

自动化生产线柔性制造过程优化决策仿真平台

付超1,2,3(), 王冬越1,2,3, 李鑫鑫1,2,3, 薛旻1,2,3()   

  1. 1.合肥工业大学 管理学院,安徽 合肥 230009
    2.过程优化与智能决策教育部重点实验室,安徽 合肥 230009
    3.智能决策与信息系统技术教育部工程研究中心,安徽 合肥 230009
  • 收稿日期:2022-01-24 修回日期:2022-03-16 出版日期:2023-05-30 发布日期:2023-05-22
  • 通讯作者: 薛旻 E-mail:wls_fuchao@163.com;xuehfut@163.com
  • 作者简介:付超(1978-),男,教授,博士,研究方向为数据驱动的智能制造工程管理。E-mail:wls_fuchao@163.com
  • 基金资助:
    科技创新2030“新一代人工智能”重大项目(2018AAA0101705);国家自然科学基金(72001063)

Simulation Platform for Optimization and Decision Making of Flexible Manufacturing Process of Automatic Production Lines

Chao Fu1,2,3(), Dongyue Wang1,2,3, Xinxin Li1,2,3, Min Xue1,2,3()   

  1. 1.School of Management, Hefei University of Technology, Hefei 230009, China
    2.Key Laboratory of Process Optimization and Intelligent Decision-Making, Ministry of Education, Hefei 230009, China
    3.Engineering Research Center for Intelligent Decision-Making & Information System Technologies, Ministry of Education, Hefei 230009, China
  • Received:2022-01-24 Revised:2022-03-16 Online:2023-05-30 Published:2023-05-22
  • Contact: Min Xue E-mail:wls_fuchao@163.com;xuehfut@163.com

摘要:

为了仿真柔性生产过程以验证理论计算分析的正确性和发现生产过程中的其他重要优化决策要素,设计开发了面向自动化生产线柔性制造过程的优化决策仿真平台。构建了仿真平台框架,包括企业生产层、优化决策层、数据资源层、功能模块层等四个层次。在此基础上,详细阐述了功能模块层的生产布局模块、运行配置模块、运行仿真模块的功能实现,以及优化决策模块对内外部算法连接和静动态产线研究的支持。运用平台仿真江苏省常州市某高端装备制造企业汽车关键零部件的生产过程,阐释其应用过程。

关键词: 自动化生产线, 柔性制造过程, 运行仿真, 三维漫游, 理论仿真验证

Abstract:

In order to simulate a flexible manufacturing process to verify the correctness of theoretical computation and analysis and find other important factors for optimization and decision making in the manufacturing process, a simulation platform for the optimization and decision making of the flexible manufacturing process of automatic production lines is designed and developed. The framework of the simulation platform is constructed with four hierarchies, including the enterprise production hierarchy, optimization and decision making hierarchy, data resource hierarchy, and function module hierarchy. On this basis, the functional implementation of the modules of production allocation, operation setting, and operation simulation in the function module hierarchy, as well as the support of the optimization and decision making module for the connection with internal-external algorithms and static-dynamic production line studies are demonstrated in detail. The developed platform is applied to simulate the manufacturing process of key components of cars in a high-end equipment manufacturing enterprise in Changzhou, Jiangsu, and the application process of the platform is illustrated.

Key words: automatic production line, flexible manufacturing process, operation simulation, three-dimensional roaming, simulation verification of theories

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