Applicability of Quality Metrics and New Approaches to the PDCA Cycle in Improving Quality Control and Management Systems Applied in Aircraft Manufacturing Processes

Digital control and information security technologies are used in modern technological processes. Integrated control tools designed to make correct decisions based on the electronic models should be used in the development of technological systems. The problems of interface quality assurance are due...

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Bibliographic Details
Published in2021 International Conference on Quality Management, Transport and Information Security, Information Technologies (IT&QM&IS) pp. 305 - 308
Main Authors Kunakov, Egor P., Gulov, Alexei E., Lontsikh, Natalia P., Rodionov, Nikita S., Golovina, Elena Y.
Format Conference Proceeding
LanguageEnglish
Published IEEE 06.09.2021
Subjects
continuous improvement
Deming cycle
Digital control
engineering technology
Information security
information systems
Information technology
Manufacturing processes
Measurement
process approach
Process control
Productivity
Quality assurance
quality management system
risk
software product
user interface development
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Summary:Digital control and information security technologies are used in modern technological processes. Integrated control tools designed to make correct decisions based on the electronic models should be used in the development of technological systems. The problems of interface quality assurance are due to complex metrics measurement and analysis processes. An increase in the number and duration of management time delays and mismanagement of large volumes of data increase the number of errors and test time and deteriorate the productivity of software tools used for determining the applicability of quality metrics. The article describes the process of improvement of technological parameters and characteristics by improving the Deming PDCA quality management cycle and software interfaces. It describes the role of risk accounting in the elimination of inconsistencies in the systems and processes.
DOI:10.1109/ITQMIS53292.2021.9642916