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
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