Hybrid agents implementation for the control of the construction company / Aksyonov Konstantin,Bykov Eugene,Aksyonova Olga,Nevolina Alena,Goncharova Natalia // . - 2017. - V. 105, l. . - P. 215-220.

ISSN/EISSN:

1877-0509 / нет данных

Type:

Proceedings Paper

Abstract:

Planning the project duration together with separate works is an essential element of managing the construction. The final duration depends on multiple factors, including the funds, customer requests, and capabilities of the construction company. In order to avoid additional costs in penalties or additional expenses, the management needs to estimate the real construction duration in advance, before the contract is signed. Further on, these terms need to be monitored both in whole and for the specific jobs in order to be able to edit further stages with regard of the remaining time, resources and used resources ratio. The development of a decision support system for the construction company is a pressing problem due to the growing demand in decision making persons' labor automation in planning and monitoring the construction processes. The paper presents the model and the application experience for such a system. (C) 2017 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Author keywords:

Control; construction; planning; multi-agent simulation; decision support; subcontract

DOI:

10.1016/j.procs.2017.01.213

Web of Science ID:

ISI:000398830900035

Соавторы в МНС:

Другие поля

Поле	Значение
Editor	Yussof, H
Booktitle	2016 IEEE INTERNATIONAL SYMPOSIUM ON ROBOTICS AND INTELLIGENT SENSORS (IRIS 2016)
Series	Procedia Computer Science
Note	IEEE International Symposium on Robotics and Intelligent Sensors (IRIS), Tokyo, JAPAN, DEC 17-20, 2016
Organization	IEEE
Publisher	ELSEVIER SCIENCE BV
Address	SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
Language	English
Research-Areas	Computer Science; Robotics; Remote Sensing
Web-of-Science-Categories	Computer Science, Artificial Intelligence; Robotics; Remote Sensing
Author-Email	e.a.bykov@urfu.ru
Funding-Acknowledgement	Act 211 Government of the Russian Federation {[}02.A03.21.0006]
Funding-Text	The work was supported by Act 211 Government of the Russian Federation, contract No 02.A03.21.0006.
Number-of-Cited-References	6
Usage-Count-Last-180-days	1
Usage-Count-Since-2013	1
Doc-Delivery-Number	BH2DH