| Issue |
MATEC Web Conf.
Volume 170, 2018
International Science Conference SPbWOSCE-2017 “Business Technologies for Sustainable Urban Development”
|
|
|---|---|---|
| Article Number | 01124 | |
| Number of page(s) | 10 | |
| Section | Municipal Facilities Management. Business Activity Management in Construction. Process Reengineering and Information Systems | |
| DOI | https://doi.org/10.1051/matecconf/201817001124 | |
| Published online | 13 June 2018 | |
Optimal placement of maintenance facilities
Voronezh State Technical University, Moscow Avenue, 14, Voronezh, 394026, Russia
* Corresponding author: sbarkalov@nm.ru
The article deals with the placement of service facilities and infrastructure. The most typical statements of problems are given. It is shown that the greatest difficulty is the simultaneous consideration of budget constraints and restrictions on the relative location of objects. It is shown that the application of the method of dynamic programming, in many ways can solve these problems. A heuristic algorithm for solving the problem is proposed. The issue of determining the rational number of objects intended for placement is considered. In this case, the problem reduces to determining the matching of maximum power. A heuristic algorithm is proposed that allows you to determine the required number of objects to be placed.
© The Authors, published by EDP Sciences, 2018
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. (http://creativecommons.org/licenses/by/4.0/).
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.