DocumentCode :
2702101
Title :
Method to analyze the influence degree of service processes based on wavelet neural network
Author :
Zhao, Qingbin ; Li, Qing ; Wen, Jingqian ; Wang, Yuan
Author_Institution :
Sch. of Mech. Eng. & Autom., Beihang Univ., Beijing, China
fYear :
2012
fDate :
15-18 June 2012
Firstpage :
1242
Lastpage :
1245
Abstract :
In order to analyze the influence degree between after-sales service quality and usage quality of aviation equipment, a method based on wavelet neural network (WNN) is proposed that support the equipment supplier to determine the key workflow and factors. Supplier workflow index-equipment usage quality relation function was established, and the overall effectiveness was defined. MATLAB was used for approximation of the relation function, and effectiveness, timeliness and stability of workflow were regarded as the analysis indexes. An equipment supplier workflow was given as a specific application.
Keywords :
aerospace industry; aircraft maintenance; customer services; neural nets; quality of service; wavelet transforms; MATLAB; WNN; after-sales service quality; analysis indexes; aviation equipment usage quality; equipment supplier workflow; influence degree analysis; relation function approximation; service process; supplier workflow index-equipment usage quality relation function; wavelet neural network; workflow effectiveness; workflow stability; workflow timeliness; Analytical models; Indexes; Maintenance engineering; Neural networks; Training; Wavelet analysis; Wavelet transforms; maintenance support; service quality; workflow analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2012 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-0786-4
Type :
conf
DOI :
10.1109/ICQR2MSE.2012.6246444
Filename :
6246444
Link To Document :
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