DocumentCode :
3515381
Title :
R&D costing analysis and prediction modeling of armored vehicles
Author :
Li, Xiangrong ; Xu, Zongchang ; Meng, Xianghui
Author_Institution :
Arms Eng. Dept., Armored Force Eng. Coll., Beijing, China
fYear :
2009
fDate :
20-24 July 2009
Firstpage :
9
Lastpage :
11
Abstract :
Aiming to some problems of armored vehicles research and development, such as few new types, few costing data and long research and development(R&D) cycle, it discussed some key techniques about R&D costing analysis of the armored vehicles, including identifying conversion coefficients about time worth, calculating dynamic and static expense and yearly expense distribution. Then, using parameters modeling method based on non-linear multi-regression technology, it built a prediction model between R&D costing and performance parameters of the armored vehicles. The model can be used to predict R&D costing of one new vehicle whose performance parameters are confirmed. The research results are significant to armored equipments life cycle costing (LCC) analysis that is comparatively weak currently in China.
Keywords :
armour; life cycle costing; military vehicles; regression analysis; remaining life assessment; research and development; R&D costing analysis; armored vehicles; life cycle costing; nonlinear multiregression technology; parameter modeling method; research and development; yearly expense distribution; Automotive engineering; Costing; Data engineering; Educational institutions; Inorganic materials; Metals industry; Predictive models; Research and development; Statistics; Vehicle dynamics; life cycle costing analysis; non-linear multi-regression technology; research and development costing prediction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Reliability, Maintainability and Safety, 2009. ICRMS 2009. 8th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4903-3
Electronic_ISBN :
978-1-4244-4905-7
Type :
conf
DOI :
10.1109/ICRMS.2009.5270250
Filename :
5270250
Link To Document :
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