Title :
Alternative Mobile Device Schedule Prediction based on Statistical Congruent Method by using the Compliance Information
Author_Institution :
Mobile Commun. Div., Samsung Electron., Gumi
Abstract :
This paper deals with the statistical forecasting method that is based on congruent random distributions of two different subjects. In the project management of mobile devices, the estimation of a target approval date is one of most important part for schedule the development procedure. The compliance rate of a mobile device shows how many features are applied in the mobile device. This research shows the relationship between the compliance rate and TA (target approval) date based on statistical congruent feature. Tractable results are obtained by using central limit theorem and zero-sum game. The results are demonstrated in the real application of mobile industry
Keywords :
mobile radio; project management; scheduling; statistical analysis; technological forecasting; central limit theorem; compliance information; congruent random distribution; mobile device; mobile industry; project management; scheduling; statistical forecasting method; target approval date; zero-sum game; Feedback; Game theory; Gaussian distribution; Industrial relations; Job shop scheduling; Mobile communication; Project management; Random variables; Research and development;
Conference_Titel :
Management of Innovation and Technology, 2006 IEEE International Conference on
Conference_Location :
Singapore, China
Print_ISBN :
1-4244-0147-X
Electronic_ISBN :
1-4244-0148-8
DOI :
10.1109/ICMIT.2006.262321