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
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