Optimization of Scheduling for Construction Corporation / Aksyonov Konstantin,Bykov Eugene,Aksyonova Olga // . - 2013. - V. , l. . - P. 310-314.

ISSN/EISSN:

2166-0662 / нет данных

Type:

Proceedings Paper

Abstract:

The paper dives into a set of tasks that emerge when planning activities of a corporation, involved into construction of multiple objects. This task is referred to as the problem of project portfolio. Problem of planning construction works and its software implementation are solved with aid of integration of multi-agent modeling and critical path method. The achieved benefit in time and cost relies on use of the simulation system and decision support system of BPsim products family, which has been developed by the authors. At the end of paper the economic effect of deployment and its calculations are briefly noted.

Author keywords:

agents; decision support systems; modeling; simulation; convolution; critical path method

DOI:

10.1109/ISMS.2013.112

Web of Science ID:

ISI:000321584200062

Соавторы в МНС:

Другие поля

Поле	Значение
Editor	AlDabass, D and Uthayopas, P and Sanguanpong, S and Niramitranon, J
Booktitle	FOURTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS, MODELLING AND SIMULATION (ISMS 2013)
Series	Proceedings International Conference on Intelligent Systems Modelling Simulation
Note	4th International Conference on Intelligent Systems, Modelling and Simulation (ISMS), Bangkok, THAILAND, JAN 29-31, 2013
Organization	IEEE Reg 10; IEEE Comp Soc UK \& RI Sect; Asia Modelling \& Simulat Soc (AMSS); UK Simulat Soc; European Simulat Federat (EUROSIM); European Council Modelling \& Simulat (ECMS); Kasetsart Univ; Chiang Mai Univ; Khon Kaen Univ; Prince Songkla Univ; Chulalongkorn Univ; Assumpt Univ; Asian Inst Technol; Univ Technol Malaysia (UTM); Univ Malaysia (UMP); Univ Technol Mara (UiTM); Univ Malaysia Perlis (UniMaP); Univ Sci Malaysia (USM); Univ Malaya (UM); Univ Liverpool; Queen Mary London Univ; Kingston Univ; Nottingham Trent Univ; IEEE; Inst Teknologi Bandung; Univ Katolik; IEEE Comp Soc
Publisher	IEEE
Address	345 E 47TH ST, NEW YORK, NY 10017 USA
Language	English
ISBN	978-0-7695-4963-7
Research-Areas	Computer Science
Web-of-Science-Categories	Computer Science, Artificial Intelligence; Computer Science, Information Systems
Author-Email	bpsim.dss@gmail.com
Number-of-Cited-References	9
Usage-Count-Since-2013	12
Doc-Delivery-Number	BFV81