Authors

G.B. BURDO, A.Yu. SOROKIN, O.V. STOYANOVA

Abstract

The paper presents the results of a study in the field of decision-making in the production systems of multinomenclature engineering. The article pays attention to the features of decision-making in the conditions of a poorly formalized subject area and the lack of clear criteria. The technique is based on the integration of the capabilities of human intelligence and software. The idea is to make an agreed decision by representatives of a number of structural divisions. The work is based on life cycle methodologies, fuzzy sets of system theory and process control.

Keywords

artificial intelligence, production systems management, mechanical engineering, product quality criteria, decision support.