ARTIFICIAL INTELLIGENCE AS A METHOD OF OPTIMIZING RISKS AND COSTS IN THE PROCUREMENT OF HIGH-TECH METALLURGICAL PRODUCTS

1 DOHNAL Pavel
Co-authors:
2 DOHNAL Pavel Jr. 1 KAZANTSEV Dmitry
Institutions:
1 VSB - Technical University of Ostrava, Ostrava, Czech Republic, EU, pavel.dohnal@vsb.cz
2 University of Southern Denmark, Denmark, EU, padoh21@student.sdu.dk
Conference:
32nd International Conference on Metallurgy and Materials, Orea Congress Hotel Brno, Czech Republic, EU, May 17 - 19, 2023
Proceedings:
Proceedings 32nd International Conference on Metallurgy and Materials
Pages:
690-696
ISBN:
978-80-88365-12-9
ISSN:
2694-9296
Published:
13th June 2023
Metrics:
139 views / 96 downloads
Abstract

Artificial intelligence today has become a tool suitable not only for solving household and industrial problems, but also for optimizing and improving the efficiency of business processes. Using the example of the procurement of high-tech metallurgical products, the article demonstrates the areas of effective application of artificial intelligence in a multi-stage international project. The analysis of this procurement as an experiment is combined in the article with inductive generalizations of a practical order and systematization of expert opinions on the role and legal status of artificial intelligence. Rational use of IT does not eliminate a person from the project but allows you to focus the specialist's attention on expert issues. Big data processing and forecasting possible risks are the areas in which artificial intelligence is able to qualitatively reduce costs and serve to obtain a better result. And modern metallurgy today is one of the most promising industries for the application of this approach.

Keywords: Artificial intelligence, procurement, metallurgy production, logistics, high technologies

© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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