计算机集成制造系统 ›› 2022, Vol. 28 ›› Issue (7): 1940-1952.DOI: 10.13196/j.cims.2022.07.002

• • 上一篇    下一篇

面向高端装备制造协同优化的人工智能方法研究综述与展望

陆少军1,2,崔龙庆1,2,赵婷1,2,江涛1,2,刘心报1,2,杨善林1,2+   

  1. 1.合肥工业大学管理学院
    2.合肥工业大学过程优化与智能决策教育部重点实验室
  • 出版日期:2022-07-31 发布日期:2022-08-10
  • 基金资助:
    国家重点研发计划资助项目(2019YFB1705300);国家自然科学基金资助项目(72101071,72071056,71871080);中央高校基本科研业务费专项资金资助项目(JZ2021HGTA0134,JZ2021HGQA0200);安徽省自然科学基金资助项目(2108085QG287);安徽省重点研究与开发计划资助项目(2022a05020023)。

Review and prospect of artificial intelligence methods for collaborative optimization of high-end equipment manufacturing

LU Shaojun1,2,CUI Longqing1,2,ZHAO Ting1,2,JIANG Tao1,2,LIU Xinbao1,2,YANG Shanlin1,2+   

  1. 1.School of Management,Hefei University of Technology
    2.Key Laboratory of Process Optimization and Intelligent Decision-making,Ministry of Education,Hefei University of Technology
  • Online:2022-07-31 Published:2022-08-10
  • Supported by:
    Project supported by the National Key Research and Development Program,China(No.2019YFB1705300),the National Natural Science Foundation,China(No.72101071,72071056,71871080),the Fundamental Research Funds for the Central Universities,China(No.JZ2021HGTA0134,JZ2021HGQA0200),the Natural Science Foundation of Anhui Province,China(No.2108085QG287),and the Key Research and Development Program of Anhui Province,China(No.2022a05020023).

PDF

摘要： 高端装备制造能力是一个国家综合竞争力的重要体现,面向高端装备制造协同优化问题设计基于人工智能的调度决策方法,对于提高高端装备智能制造协同效率具有重要意义。将高端装备制造过程协同优化问题分为制造与库存协同优化、制造与配送协同优化、制造与组装协同优化和制造与维修协同优化4类具有不同特点的问题,并分析了这4类问题的研究现状;从时间优化、成本优化和能源优化的角度,综述了解决上述4类协同优化问题的人工智能方法;在此基础上,提出了面向高端装备制造协同优化的人工智能方法的未来研究方向。

关键词: 制造协同优化, 人工智能, 调度算法, 高端装备制造

Abstract: The manufacturing capacity of high-end equipment is an important reflection of a countrys comprehensive competitiveness.The design of scheduling decision method based on artificial intelligence for collaborative optimization of high-end equipment manufacturing is of great significance for improving the intelligent manufacturing collaborative efficiency of high-end equipment.The collaborative optimization problem of high-end equipment manufacturing was divided into four problems with different characteristics:inventory coordination,distribution coordination,assembly coordination and maintenance coordination.The research status of these four problems was analyzed.From the perspective of time optimization,cost optimization and energy optimization,the artificial intelligence methods to solve the above four kinds of collaborative optimization problems were summarized.On this basis,the future research direction of artificial intelligence method for collaborative optimization of high-end equipment manufacturing was proposed.

Key words: manufacturing collaborative optimization, artificial intelligence, scheduling algorithm, high-end equipment manufacturing

中图分类号: 

京ICP备12012770号-3
Copyright © 《计算机集成制造系统》编辑部
技术支持：北京玛格泰克科技发展有限公司
总访问量
今日访问
在线人数