Open AccessDevelopment of a computer intelligent system for optimizing adaptive control of business planning processes
Author(s) -
А. Ф. Шориков,
Е. В. Буценко
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1794/1/012005
Subject(s) - computer science , intelligent decision support system , decision support system , control (management) , business system planning , information system , work (physics) , management science , systems engineering , process management , artificial intelligence , engineering , mechanical engineering , electrical engineering
The article presents a methodology for developing an intelligent system for optimizing adaptive control of business planning processes in conditions of uncertainty. The results of the work are based on a new method for optimizing adaptive project management using network economic and mathematical modeling. The article describes a methodology for computer implementation of the proposed intelligent system, which is designed to automate the modeling of business planning processes and optimize adaptive decision-making management during their implementation based on network economic and mathematical modeling, as well as methods and tools for the development of intelligent computer systems. The developed system takes into account the existing specific technical and economic conditions and the available information support. The results obtained in this work can serve as a basis for the creation of intelligent computer systems to support management decisions in the implementation of business planning processes in conditions of information uncertainty.