Using Artificial Intelligence in Terms of Individual Stages of the Raw Material Supplier Selection Process

Abstract

The purpose of this research is to develop and justify the model of using artificial intelligence in terms of individual stages of the raw material supplier selection process in Ukraine. The research used both general scientific and specific methods: methods of logical generalisation, systematization, comparison, analysis and synthesis, methods of graphic representation, etc. The following conclusions were made as a result of the study: clarifying the exact stage, where artificial intelligence should be used in the process of selection of the raw material supplier. Based on different studies on the topic, definitions of "material supplier selection process" were grouped by approaches and shortly reviewed. Based on this definition, an original definition was given, and it was therefore concluded that specific actions should be performed. It was established that no general definition for artificial intelligence exists in contemporary science due to various existing issues. Also, artificial intelligence is used in different fields and has its distinguishing features. After analyzing them, artificial intelligence was divided into subclasses, based on which a model of the artificial intelligence's usage, when choosing the material supplier was suggested. These conclusions would bring practical value when improving Ukraine's prioritized fields, such as food, medical and military industries.