Open AccessEvaluation of Aerospace Production Site Management and Control Capability based on F-AHP and BP Neural Network
Author(s) -
Fengsheng Jia,
Li Hui,
Rui Lai,
Hongtao Yao,
Bao Zhi-wen
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1043/4/042027
Subject(s) - aerospace , analytic hierarchy process , artificial neural network , production (economics) , control (management) , scope (computer science) , manufacturing engineering , engineering , quality (philosophy) , computer science , systems engineering , industrial engineering , artificial intelligence , operations research , aerospace engineering , economics , macroeconomics , programming language , philosophy , epistemology
The management and control level of aerospace production site directly affects the production quality of aerospace products. It is one of the important fields of aerospace quality management research to master the management and control ability of aerospace production site efficiently. Based on the analysis of the control scope of aerospace production site, the evaluation index system of space production site control ability is proposed. Through the establishment of Fuzzy-Analytic Hierarchy model, the sample data of process management and control ability evaluation on aerospace production site was collected. BP neural network model was constructed and trained, the output of BP neural network reached the expected accuracy, which meet the requirements of process management and control ability evaluation on aerospace production site. The result shows that the proposed evaluation index system and BP neural network model can not only fully absorb the tacit knowledge of experts, but also reduce the subjective arbitrary defects of artificial weights, which can be used to evaluate of the control ability of aerospace production site efficiently.