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| An Approach for Aircraft Assembly Sequence Intelligent Planning Based on Case Learning |
| CHEN Junhao, JIA Xiaoliang |
| Northwestern Polytechnical University, Xi’an 710072, China |
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Abstract 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.
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2022, 
