Abstract
References
- Barr, A., Feigenbaum, E. A., & Cohen, P. R. (1981). The handbook of artificial intelligence. USA: William Kaufmann.
- Ernst, G. W., & Newell, A. (1966). Generality and generality and problem solving. Carnegie Institute of Technology.
- Michalewicz, Z., & Fogel, D. B. (2010). How to solve it: Modern heuristics. Berlin – Heidelberg: Springer
Information Technology Essence of the Heuristic Model for SMART Management in a Medium-Sized Industrial Enterprise
Abstract
This article presents the information and technological essence of a qualitatively new generated Heuristic model for SMART management in medium-sized industrial enterprises. A summary is made of the features of heuristics in the modern reality and of the prerequisites necessitating the implementation of heuristic and smart-based tools in a single and comprehensive software programme. The general framework of the mathematical model on which its architecture is based is also defined in order to make a comprehensive description of the structure and information and technological features of the software-based programme. The criterion for optimality, which is targeted in the Heuristic model for SMART management in a medium-sized industrial enterprise and its constituent engineering-technological, financial and production parameters, is presented. The main relationships, tools and approaches in the software programme itself are described. The main characteristics and connections of the software-based program of the Heuristic model for SMART management in the medium-sized industrial enterprise are presented.
References
- Barr, A., Feigenbaum, E. A., & Cohen, P. R. (1981). The handbook of artificial intelligence. USA: William Kaufmann.
- Ernst, G. W., & Newell, A. (1966). Generality and generality and problem solving. Carnegie Institute of Technology.
- Michalewicz, Z., & Fogel, D. B. (2010). How to solve it: Modern heuristics. Berlin – Heidelberg: Springer
Details
| Primary Language | English |
|---|---|
| Subjects | Environmental and Sustainable Processes |
| Journal Section | Articles |
| Authors | |
| Early Pub Date | December 28, 2023 |
| Publication Date | December 30, 2023 |
| Published in Issue | Year 2023 |
