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Dynamic modeling and chaos control of sustainable integration of informatization and industrialization

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  • Zhu, Jianhua
  • Sun, Yanming

Abstract

The integration of informatization and industrialization (TIOII) is an important measure for China to help small and medium-sized manufacturing enterprises conduct intelligent transformation and upgrading. TIOII is a dynamic process, hence, from the perspective of quality management, this study establishes a dynamic model to find out the internal evolution mechanism of TIOII. To ensure that manufacturing enterprises can continuously conduct multiple stages of TIOII, enterprises need to continuously change their strategies of TIOII. However, changes in development strategy may cause a dynamic system to fall into chaos. Therefore, this study used the maximum Lyapunov exponent method to conduct chaotic identification, then designed a linear controller to manage and control the chaotic system to make it evolve in the direction we expected. The case analysis results showed that the dynamic evolutionary process of TIOII can be found by an analysis of the dynamic system of TIOII and chaotic behavior in the process of TIOII can be controlled effectively by the design of the linear controller. Our results reveal the internal evolutionary mechanism of the intelligent transformation and upgrading of manufacturing enterprises, show the influence of chaos on an enterprise's management of TIOII, and help enterprises understand how to utilize and control chaos in TIOII.

Suggested Citation

  • Zhu, Jianhua & Sun, Yanming, 2020. "Dynamic modeling and chaos control of sustainable integration of informatization and industrialization," Chaos, Solitons & Fractals, Elsevier, vol. 135(C).
    • Handle: RePEc:eee:chsofr:v:135:y:2020:i:c:s0960077920301478
    DOI: 10.1016/j.chaos.2020.109745
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    References listed on IDEAS

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    1. Delroy A. Chevers & Gerald G. Grant, 2017. "Information Systems Quality and Success in Canadian Software Development Firms," Information Resources Management Journal (IRMJ), IGI Global, vol. 30(3), pages 1-25, July.
    2. Qamar Din, 2017. "Global stability and Neimark-Sacker bifurcation of a host-parasitoid model," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(6), pages 1194-1202, April.
    3. Li Da Xu & Eric L. Xu & Ling Li, 2018. "Industry 4.0: state of the art and future trends," International Journal of Production Research, Taylor & Francis Journals, vol. 56(8), pages 2941-2962, April.
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    1. Peng Niu & Yanming Sun & Zhuping Gong, 2021. "Research on the Chaotic Characteristics and Noise Reduction Prediction of Information System Anomalies in Equipment Manufacturing Enterprises," Sustainability, MDPI, vol. 13(9), pages 1-20, April.
    2. Jianhua Zhu & Julien S. Baker & Zhiting Song & Xiao-Guang Yue & Wenqi Li, 2023. "Government regulatory policies for digital transformation in small and medium-sized manufacturing enterprises: an evolutionary game analysis," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-18, December.

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