Intelligent Decision-Making Policies of Aircraft Assembly Based on Experts Tacit Knowledge

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.