| Issue |
E3S Web Conf.
Volume 97, 2019
XXII International Scientific Conference “Construction the Formation of Living Environment” (FORM-2019)
|
|
|---|---|---|
| Article Number | 03038 | |
| Number of page(s) | 12 | |
| Section | Safety in Construction | |
| DOI | https://doi.org/10.1051/e3sconf/20199703038 | |
| Published online | 29 May 2019 | |
Multifactorial parametric model for assessing and making organizational decisions to ensure the quality of construction
Moscow State university of civil engineering, Yaroslavskoye Shosse, 26, Moscow, 129337, Russia
* Corresponding author: markova@mgsu.ru
As noted by a number of experts in the field of the quality of construction of capital construction objects, at present there are no industry-specific methods for assessing the quality of construction and installation works in construction. The quality assessment and acceptance of capital construction objects is carried out according to the criterion of compliance with the requirements established in the project documentation, the working documentation prepared on its basis and the requirements established in the regulatory documents. It should be noted that the more complex the object, the larger the construction volume, the longer the construction period of the object and the harder it is to achieve full compliance of the object with the established requirements due to the lack of a methodology for choosing organizational decisions, as well as changing regulatory requirements, technological variability, errors.The current situation necessitated the development of an assessment model and the adoption of organizational decisions to ensure the quality of construction. This article highlights and discusses the main factors affecting the quality of organizational decisions. A system for assessing the level of quality assurance of construction is proposed, taking into account the quality of organizational decisions and the main factors cited.
© 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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