E3S Web Conf.
Volume 110, 2019International Science Conference SPbWOSCE-2018 “Business Technologies for Sustainable Urban Development”
|Number of page(s)||7|
|Section||Energy Efficiency in the Construction|
|Published online||09 August 2019|
Construction machines requirement for the building site
Moscow State University of Civil Engineering, Institute of Construction and Architecture, 129337, Moscow, Russia
* Corresponding author: firstname.lastname@example.org
Economic indicators of construction production are directly related to the choice of the optimal number of machines. The lack of machines for the production of construction and installation works leads to the impossibility of their implementation in the directive period. The pace of construction and installation work and labor productivity depend, to a large extent, on the degree of provision of construction facilities with machines (level of labor mechanization). The article considers the calculations of the need for construction machines for the building site, trust and the ministry. When determining the need for machines for construction sites, it is necessary to take into account ensuring the execution of works in the planned timeframe, increasing the level of complex mechanization, increasing labor productivity and reducing manual work, improving the use of the machine park and their operation. The article presents a consistent set of formulas that must be used when choosing construction machines and determining their number.
© 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, 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.