| Issue |
MATEC Web Conf.
Volume 106, 2017
International Science Conference SPbWOSCE-2016 “SMART City”
|
|
|---|---|---|
| Article Number | 08004 | |
| Number of page(s) | 7 | |
| Section | 8 Organization and Planning of Construction Works and Municipal Facilities | |
| DOI | https://doi.org/10.1051/matecconf/201710608004 | |
| Published online | 23 May 2017 | |
The procedure of selecting the best construction equipment by the set of its quantitative characteristics
1 State Educational Institution of Higher Education of Moscow Region State University of Humanities and Social Studies, Department of machine science, 30, Zelyonaya street, Moscow Region, Kolomna, 140410, Russian Federation
2 Moscow State University of Civil Engineering, Yaroslavskoe shosse, 26, Moscow, 129337, Russia
* Corresponding author: nirs-isa@mail.ru
Today’s construction projects are highly mechanized. That#x2019;s why selection of right equipment has always been a key factor in the success of any construction project. This decision is typically made by comparison of equipment feature, productivity, capacity and cost. The article describes the approach to selecting the best set of construction equipment from the available options by the set of its quantitative characteristics. It is proposed to carry out the evaluation of options and selection of the best option based on the method of spectral analysis. The article presents the results of the selection of the most appropriate floor screed conveyor for purchasing by construction company using the specified method.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.