MATEC Web Conf.
Volume 265, 2019International Geotechnical Symposium “Geotechnical Construction of Civil Engineering & Transport Structures of the Asian-Pacific Region” (GCCETS 2018)
|Number of page(s)||5|
|Section||Construction Management and Economics|
|Published online||30 January 2019|
Quality management assurance using data integrity model
Moscow Aviation Institute, Volokolamskoe highway, 4, Moscow, 125993, Russia
2 Moscow state University of technology and management K.G.Razumovsky, Zemlyanoy Val street, 73, 109004, Moscow, Russia
3 Moscow State University of Civil Engineering, Yaroslavskoe sh. 26, Moscow, 129337, Russia
* Corresponding author: email@example.com
High complexity of modern quality management systems (QMS) leads to the need for new tools aimed to support them and implement continuous improvement. The key process to manage the quality level is quality assurance. The paper investigates process information integrity and consistency as properties or quality assurance process. Some basic approach for organizing data integrity metrics is described. An approach for QMS requirements assurance based on SysML modelling language is proposed.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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