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Dynamic Modeling and Chaos Control of Informatization Development in Manufacturing Enterprises.
Niu, Peng; Zhu, Jianhua; Sun, Yanming.
Afiliación
  • Niu P; School of Business Administration, South China University of Technology, Guangzhou 510641, China.
  • Zhu J; School of Aviation Flight Basics, Naval Aviation University, Yantai 264001, China.
  • Sun Y; School of Business Administration, University of Guangzhou, Guangzhou 510006, China.
Entropy (Basel) ; 23(6)2021 May 28.
Article en En | MEDLINE | ID: mdl-34071345
ABSTRACT
To explore the cooperative evolutionary mechanism among top management support, employees' technical ability, and informatization performance in the process of the "integration of informatization and industrialization (IOII)" in manufacturing enterprises, this study established a three-dimensional dynamic model of informatization development, obtained the model parameters by the expert scoring method of case companies, and analyzed the time series of the dynamic model. After adjusting those parameters of the evolutionary process that do not meet the expectations of the enterprise, combined with management practice, the dynamic system is finally stable at the expected value. For a special state in the evolutionary process, the maximum Lyapunov exponent is used to identify the chaotic characteristics of the system, and a linear controller is designed to manage and control the chaotic system so that it evolves toward the expected value. The results of the case analysis verify the rationality of the model and the effectiveness of the control method, reveal the internal evolutionary mechanism of the informatization development of manufacturing enterprises, and explain the influence of chaos on enterprise management so as to help managers to use and control chaos.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Entropy (Basel) Año: 2021 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Entropy (Basel) Año: 2021 Tipo del documento: Article País de afiliación: China