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Intelligent Decision-Making Policies of Aircraft Assembly Based on Experts Tacit Knowledge
Technical Paper
2023-01-0981
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Event:
2023 AeroTech
Language:
English
Abstract
Regarding the development of an aircraft assembly process, this paper will illustrate the
intelligent decision and policies of the aircraft assembly process based on technician
experience. A model of the knowledge management system of the aircraft assembly process is
developed to avoid the complexity of the entire aircraft or aircraft product assembly process.
Firstly, According to the characteristics of the knowledge management system of the aircraft
assembly process, the aircraft assembly process has been discussed to realize the decision of
the aircraft assembly process. Secondly, intelligent decision-making in the aircraft assembly
process has been established based on the knowledge management system and aircraft assembly
process library that is oriented to the assembly process requirements employing an assembly
process reasoning method. Finally, the intelligent decision policies of the aircraft assembly
process are based on tacit knowledge, which is applied to the decision-making for the “Rapid
Prototype” (RP) process selection for a benchmark test part as designed by Fahad and Hopkinson
employing the ranking-based method. Based on the descending values of these appraisal scores,
the final ranking of RP processes is obtained. The ranking sequence of RP processes according
to the “Intelligent Decision” method is A1 > A5 > A4 > A3 > A2, indicating A1
(SLA-7000) as the best choice. The research has practical value in completing the
aircraft/aircraft product assembly process concerning a different form of logic, taking into
account the existence of various criteria, opposing goals of the decision-making process,
subjective character of the assessment process, and involvement of many decision-making.
Authors
Citation
Miah, M. and Zhang, J., "Intelligent Decision-Making Policies of Aircraft Assembly Based on Experts Tacit Knowledge," SAE Technical Paper 2023-01-0981, 2023, https://doi.org/10.4271/2023-01-0981.Also In
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