MATEC Web Conf.
Volume 196, 2018XXVII R-S-P Seminar, Theoretical Foundation of Civil Engineering (27RSP) (TFoCE 2018)
|Number of page(s)||8|
|Section||Building Materials, Technologies, Organization and Management in Construction|
|Published online||03 September 2018|
Cost minimization of locating construction machinery park with the use of simulation and optimization algorithms
Warsaw University of Technology, Faculty of Civil Engineering, Institute of Building Engineering, Division of Production Engineering and Construction Management,
ul. L.Kaczyńskiego 16,
Corresponding author: firstname.lastname@example.org
Every construction project requires a plan of construction site, where storage areas, temporary roads, social containers, machinery parks etc. are shown. The location of the machinery park on a building site is very important. Cost is the most important factor for both, civil engineering structures and buildings in terms of the machinery movement. The everyday building machinery transport from the park to the working positions is time and cost consuming. Four possible solution of the location of temporary roads, necessary for such transport of the construction machinery, were discussed. Finding the optimum location of machinery park was presented, and case study calculations were made. Two dimension problem simulation has been applied, enhanced by heuristic algorithms to solve the discussed matter.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/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.