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Intelligent quality management tools for digital production and knowledge management system for their application
Author(s) -
A. N. Chesalin,
S.Ya. Grodzenskiy,
M. Yu. Nilov,
Van Tu Pham
Publication year - 2020
Publication title -
iop conference series materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/862/4/042032
Subject(s) - digital firm , computer science , quality (philosophy) , production manager , production (economics) , knowledge management , quality management system , quality management , process management , technology management , information management , management system , engineering management , systems engineering , business , engineering , operations management , philosophy , macroeconomics , economics , epistemology
Due to the evolution of the digital production technologies and the transition to the cyber-physical systems, new methods of controlling technological processes and managing business processes of modern enterprises are needed. In the article we investigate the problem of improving quality management methods for the organization and management of modern digital production. Various methods of quality management, both traditional and modern, are considered. The concept of digital production quality management based on artificial intelligence and information technologies is proposed. As a basis for the implementation of the intelligent quality management methods in the management of digital production we consider the development of a knowledge management system for their effective application.

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