Please use this identifier to cite or link to this item:
http://elar.urfu.ru/handle/10995/75636
Title: | Hybrid Agents Implementation for the Control of the Construction Company |
Authors: | Aksyonov, K. Bykov, E. Aksyonova, O. Nevolina, A. Goncharova, N. |
Issue Date: | 2017 |
Publisher: | Elsevier B.V. |
Citation: | Hybrid Agents Implementation for the Control of the Construction Company / K. Aksyonov, E. Bykov, O. Aksyonova et al. // Procedia Computer Science. — 2017. — Vol. 105. — P. 215-220. |
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. © 2017 The Authors. |
Keywords: | CONSTRUCTION CONTROL DECISION SUPPORT MULTI-AGENT SIMULATION PLANNING SUBCONTRACT ARTIFICIAL INTELLIGENCE CONSTRUCTION CONSTRUCTION INDUSTRY CONTROL DECISION MAKING INTELLIGENT CONTROL MULTI AGENT SYSTEMS PLANNING ROBOTICS SMART SENSORS APPLICATION EXPERIENCES CONSTRUCTION COMPANIES CONSTRUCTION DURATION DECISION MAKING PERSONS DECISION SUPPORTS MULTI AGENT SIMULATION PLANNING AND MONITORING SUBCONTRACT DECISION SUPPORT SYSTEMS |
URI: | http://elar.urfu.ru/handle/10995/75636 |
Access: | info:eu-repo/semantics/openAccess cc-by-nc-nd gold |
Conference name: | IEEE International Symposium on Robotics and Intelligent Sensors, IRIS 2016 |
Conference date: | 17 December 2016 through 20 December 2016 |
SCOPUS ID: | 85016095509 |
WOS ID: | 000398830900035 |
PURE ID: | 1687883 |
ISSN: | 1877-0509 |
DOI: | 10.1016/j.procs.2017.01.213 |
Appears in Collections: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
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2-s2.0-85016095509.pdf | 322,02 kB | Adobe PDF | View/Open |
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