DocumentCode
126954
Title
Study on earnings forecast of internet of things in China —Based on Anylogic simulation model
Author
Wang Xiao-hong ; Yu Tsong-mu ; Zhang Jun-hui
Author_Institution
Sch. of Manage., Harbin Inst. of Technol., Harbin, China
fYear
2014
fDate
17-19 Aug. 2014
Firstpage
96
Lastpage
102
Abstract
Based on applications of the Internet of things, this article has studied the changes and related factors of the proportion which the profit of the Internet of things accounts in GDP in the future. We established differential system of linear equations, and built an Anylogic simulation model, obtained the curves of the model and predicted number. The results show that by 2020, the Internet of things will be 10 times the 2012 earnings scale; In addition, the results show that the factors which are positive to the profit of Internet of things contains per capita incomes, Internet trading scale, the Internet of things from personnel of course of education, etc. Therefore in order to promote the better development of the Internet of things, China can take measures to enhance positive correlation factors and reduce the inhibition of negative correlation factors.
Keywords
Internet of Things; economic forecasting; economic indicators; linear differential equations; supply chain management; Anylogic simulation model; China; GDP; IOT; Internet of Things; Internet trading scale; differential linear equation system; earnings forecasting; earnings scale; model curves; negative correlation factor inhibition reduction; number prediction; per-capita incomes; positive correlation factor enhancement; profit proportion; Analytical models; Biological system modeling; Economic indicators; Equations; Internet of Things; Mathematical model; Anylogic simulation model; differential system of linear equations; system dynamics; the Internet of things;
fLanguage
English
Publisher
ieee
Conference_Titel
Management Science & Engineering (ICMSE), 2014 International Conference on
Conference_Location
Helsinki
Print_ISBN
978-1-4799-5375-2
Type
conf
DOI
10.1109/ICMSE.2014.6930214
Filename
6930214
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