Assembly sequence planning (ASP) defines the efficiency and quality of aircraft assembly. However

for the ASP of aircraft

the traditional knowledge reuse is not flexible and the solving time of canonical meta-heuristic algorithm is tedious. This paper proposes a framework based on case learning to complete the ASP of aircraft. Firstly

the characteristics of the aircraft ASP are analyzed and the aircraft ASP framework is constituted. Moreover

the aircraft ASP case is extracted from the heterogeneous information source

the aircraft ASP case is reused by process similarity

and the assembly sequence of aircraft product is inferred by genetic algorithm and case fragment. Finally

the aircraft ASP system is designed

and the feasibility and effectiveness of the framework is verified by an example of an aircraft undercarriage.