Background:
Assembly process planning (ASP) is the 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 the assembly efficiency, reduce the 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, and the advantages and advantages of the three methods are compared.
Finally, future research is discussed which could provide reference for the ASP.