Assembly Sequence Planning: A Review

被引：0
|
作者：
Zhang H.-Y. [1 ]
机构：
[1] Department of Mechanical and Materials Engineering, Jiujiang University, JJ, Jiujiang
来源：
Recent Advances in Computer Science and Communications | 2022年 / 15卷 / 04期
关键词：
Ant colony optimization; Artificial neural network; Assembly sequence planning; Constraint conditions; Genetic algorithm; Optimization objectives; Particle swarm optimization;
D O I：
10.2174/2666255813999201002150656
中图分类号：
学科分类号：
摘要：
Background: Assembly Sequence Planning (ASP) is an important stage in the process of product design and manufacturing. A reasonable assembly sequence can reduce the complexity of assembly operations, reduce the number of tools and fixtures, improve assembly efficiency, reduce assembly time, and reduce assembly costs. Methods: The purpose of this paper is to review the objective function, constraint conditions, and the solving methods of the ASP. Conclusion: The research methods can be roughly divided into three categories: Graph-based method, knowledge-based method, and artificial intelligence algorithm. The advantages and disadvantages of the three methods are compared. Finally, future research is discussed, which could provide a reference for the ASP. © 2022 Bentham Science Publishers.
引用
收藏
页码：531 / 539
页数：8
相关论文
共 50 条
  • [31] Technology of assembly sequence planning for reflector
    Wang D.
    Duan X.
    Shao X.
    Gao F.
    Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2020, 26 (06): : 1679 - 1690
  • [32] Subassembly identification for assembly sequence planning
    Wang, Y. (wangyyong100@126.com), 1600, Springer London (68): : 1 - 4
  • [33] Assembly sequence planning in VM system
    Zhang, Weize
    Tong, Ruofeng
    Dong, Jinxiang
    PROCEEDINGS OF THE 2007 11TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN, VOLS 1 AND 2, 2007, : 908 - +
  • [34] RETRACTED: A Novel Assembly Sequence Design Mechanism for Assembly Sequence Planning (Retracted Article)
    Zhang, Nan
    Liu, Zhenyu
    Qiu, Chan
    Tan, Jianrong
    2020 IEEE 7TH INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND APPLICATIONS (ICIEA 2020), 2020, : 10 - 14
  • [35] A Sub-assembly Identification Algorithm for Assembly Sequence Planning
    Cao, Yan
    Kou, Xiaoxi
    Cao, Sen
    PROCEEDINGS OF THE 2015 INTERNATIONAL INDUSTRIAL INFORMATICS AND COMPUTER ENGINEERING CONFERENCE, 2015, : 555 - 558
  • [36] Assembly sequence planning optimization for aircraft assembly based on GA
    Li, Yuan
    Zhang, Kai-Fu
    Wang, Ting
    Yang, Hai-Cheng
    Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2006, 12 (02): : 188 - 191
  • [37] An interference discrimination method for assembly sequence planning and assembly simulation
    Zhang, Wenlei
    Ma, Mingxu
    Li, Haiyan
    Yu, Jiapeng
    Zhang, Zhenwei
    ASSEMBLY AUTOMATION, 2020, 40 (04) : 541 - 552
  • [38] A multi-plant assembly sequence planning model with integrated assembly sequence planning and plant assignment using GA
    Tseng, Yuan-Jye
    Chen, Jian-Yu
    Huang, Feng-Yi
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2010, 48 (1-4): : 333 - 345
  • [39] A multi-plant assembly sequence planning model with integrated assembly sequence planning and plant assignment using GA
    Yuan-Jye Tseng
    Jian-Yu Chen
    Feng-Yi Huang
    The International Journal of Advanced Manufacturing Technology, 2010, 48 : 333 - 345
  • [40] A technical comment on a review on assembly sequence planning and assembly line balancing optimisation using soft computing approaches
    Fathi, M. (fathi.masood@gmail.com), 1600, Springer London (71): : 9 - 12
12345