iipp publishingJournal of Applied Engineering Science

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ERP - systems, logistics and mechatronics systems for ensuring the smooth construction process
DOI: 10.5937/jaes16-14653
This is an open access article distributed under the CC BY-NC-ND 4.0 terms and conditions. 
Creative Commons License
Volume 16 article 489 pages: 1 - 4

Alexey Grigoryevich Bulgakov
Southwest State University, Kursk, Russia

Georgii Evgenyevich Tokmakov
South-Russian State Polytechnic University, Novocherkassk, Russia

The article considers possible structures to integrate ERP systems at a building enterprise with low - end nformation and mechatronic systems – AMS (automated management systems) and MES which handle technological divisions as well as read necessary information. To achieve the information integrity of the construction process a multiagent control system of information and resource fl ows of industrial divisions together with a mathematical model of the operation is suggested.

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G. Rzevski. On Behaviour and Architectures of Autonomous Intelligent Agents: An Engineer-ing Perspective, Proceedings First International Round-Table on Abstract Intelligent Agents, ENEA, Rome, 1993.
TIA – technology // Siemens electronic information resource URL: http://www.automation.siemens.com/mcms/topics/en/tia/Pages/default.aspx?stc=wwiia303256 (date of reference: 04.03.2010).
Mark T. Hoske. How to connect offi ce, design and control systems, CONTROL ENGINEER-ING //The world of computer automation; On-line., October 1997. URL: http://www.mka.ru/?p=40188 (date of reference: 09.09.2010) Reliability and effectiveness in technology: Reference book./editing board: Aduevsky D. – Moscow.: Machinebuilding, 1988.
K.K. Shestopalov. Hoisting-and-transport, building and road machines and equipment. M.: Academy, 2009. P. 67-72.
S.W. Hughes, D.D. Tippett, W.K. Thomas. Measuring project success in the construction industry // EMJ – Engineering Management Journal. 2004. 16(3). Р. 31–37.
Min-Yuan Cheng, Hsing-Chih Tsai, Erick Sudjono. Evolutionary fuzzy hybrid neural network for construction industry. Automation in Construction 21 (2012) S. 46-51.
T.M. Cheng, C.W. Feng, M.Y. Hsu. An integrated modeling mechanism foroptimizing the simulation model of construction operation, Autom. Constr. 15 (2006) 327–340.