• 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