Open AccessInformation support of a quality management system in the context of digitalization of business processes
Author(s) -
Dmitry Antipov,
A. Yu. Smagina,
N. Klassen
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/986/1/012025
Subject(s) - process management , quality (philosophy) , business process , context (archaeology) , production (economics) , computer science , quality management system , relevance (law) , knowledge management , control (management) , quality policy , product (mathematics) , automation , risk analysis (engineering) , quality management , business , management system , engineering , operations management , work in process , marketing , philosophy , mathematics , artificial intelligence , law , macroeconomics , biology , paleontology , geometry , epistemology , political science , mechanical engineering , economics
In conditions of improving production processes, the organization and implementation of a quality management system is one of the most important issues in the management system of individual business processes and the organization as a whole. The formation and implementation of control over the organization of production, product quality, labor protection and other business processes and management objects is carried out in accordance with the accumulated theoretical, methodological and practical experience. However, at present, in the conditions of intensive development of technologies that allow us to move to a qualitatively new level of production, traditionally established approaches to managing business processes are losing their relevance and require additions, including in terms of enhancing the automation of information support for the quality management system. Therefore, as part of this study, it is proposed to pay attention to the development of tools of intelligent quality management systems in terms of performing control and analytical tasks.