Parametric identification of the organizational maturity management system

International Workshop "Advanced Technologies in Material Science, Mechanical and Automation Engineering – MIP: Engineering – 2019"

材料科学;机械制造;原子能学

Dorrer, Mikhail^1^2

Reshetnev Siberian State University of Science and Technology, prospect Krasnoyarsky rabochy 31, Krasnoyarsk, Russia^1

Siberian Federal University, 2 79 Svobodny pr., Krasnoyarsk

660041, Russia^2

关键词: Business Process;    Dynamic management;    Identification of the parameters;    Machine building enterprise;    Management systems;    Organizational maturity;    Parametric identification;    System of indicators;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/537/4/042054/pdf
DOI  :  10.1088/1757-899X/537/4/042054

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

The article describes the solution of the problem of constructing a mathematical model that describes the behavior of indicators of the level of maturity of a company's business processes as a dynamic management system. This work was carried out in the course of solving the problem of developing a system for managing the level of maturity of the enterprise's business processes. The set of maturity indicators for a company's business processes is described as a dynamic model in discrete time of a control system in a deterministic formulation. The identification of the parameters of the dynamic model is made on the basis of the data on the maturity of the company's business processes collected at the operating machine-building enterprise. It is shown that a dynamic model of a control system in discrete time in a deterministic formulation adequately describes the behavior of a system of indicators of the maturity of a company's business processes. The resulting model reproduces the available experimental data on changes in the levels of organizational maturity in the company. It shows plausible behavior when predicting a process based on various input data in a real-world expected range of input parameters.