Intelligent Management of Enterprise Business Processes
Abstract
:1. Introduction
2. Literature Review
3. Methods
4. Results
4.1. System Model of an Enterprise as a Basis for Intelligent Management
- A physical subsystem (managed subsystem) that includes input resources, an innovative (technological) process, and output products;
- A management subsystem, which includes a cybernetic (virtual) subsystem that contains a feedback loop, diagnoses the states of the physical system, and supports the making and implementation of management decisions;
- Person—a manager who makes the decision.
- Decision makers (managers);
- A virtual subsystem that diagnoses enterprise states and supports decision-making and implementation;
- Information processor and standards (plans, goals).
4.2. The Features of Making Managerial Decisions during Intelligent Enterprise Management
- Methods and procedures for operations research that allow you to develop recommendations for quantitative analysis necessary for planning and organizing targeted actions;
- Methods of system analysis used to determine tasks and choose the direction of action, to assess how systems act under conditions of uncertainty;
- Methods of system engineering used for the design and synthesis of complex systems based on the study of the features of the functioning of their elements.
- Assessment of circumstances to determine the conditions that you need to know for making decisions;
- Search, develop, and analyze possible alternative actions;
- Choosing one direction of action from possible alternatives in such a way that a certain goal is achieved.
- Qualifications of the decision-maker, who determines its quality;
- Preparation level of the person who implements the solution, which determines the quality of its implementation;
- The degree of improvement of the information system (clarity, efficiency), which determines the quality of feedback between these categories of managers and the environment.
4.3. The Human Factor in Intelligent Enterprise Management
- P (prophets);
- G (geniuses);
- T (talents);
- C (capable);
- N (normal);
- O (others).
4.4. The Problem of Assessing and Forecasting the State of Enterprise Development in the Context of Intellectual Management
- Dynamics of probabilities of states and stability of development of enterprises and their employees;
- Dynamics of probabilities of states for innovative and technological processes;
- Scientific and technological, environmental, social and economic efficiency of enterprises.
5. Discussion
6. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Odrekhivskyi, M.; Pshyk-Kovalska, O.; Zhezhukha, V.; Ivanochko, I. Intelligent Management of Enterprise Business Processes. Mathematics 2023, 11, 78. https://doi.org/10.3390/math11010078
Odrekhivskyi M, Pshyk-Kovalska O, Zhezhukha V, Ivanochko I. Intelligent Management of Enterprise Business Processes. Mathematics. 2023; 11(1):78. https://doi.org/10.3390/math11010078
Chicago/Turabian StyleOdrekhivskyi, Mykola, Orysya Pshyk-Kovalska, Volodymyr Zhezhukha, and Iryna Ivanochko. 2023. "Intelligent Management of Enterprise Business Processes" Mathematics 11, no. 1: 78. https://doi.org/10.3390/math11010078
APA StyleOdrekhivskyi, M., Pshyk-Kovalska, O., Zhezhukha, V., & Ivanochko, I. (2023). Intelligent Management of Enterprise Business Processes. Mathematics, 11(1), 78. https://doi.org/10.3390/math11010078