Parametric identification of the organizational maturity management system
URI (for links/citations):
https://iopscience.iop.org/article/10.1088/1757-899X/537/4/042054/pdfhttps://elib.sfu-kras.ru/handle/2311/128460
Author:
Доррер, Михаил Георгиевич
Corporate Contributor:
Институт управления бизнес-процессами и экономики
Кафедра бизнес-информатики
Date:
2019-04Journal Name:
IOP Conf. Series: Materials Science and EngineeringJournal Quartile in Scopus:
без квартиляJournal Quartile in Web of Science:
без квартиляBibliographic Citation:
Доррер, Михаил Георгиевич. Parametric identification of the organizational maturity management system [Текст] / Михаил Георгиевич Доррер // IOP Conf. Series: Materials Science and Engineering: IOP Conference Series: Materials Science and Engineering. — 2019. — Т. 537.Abstract:
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
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