DocumentCode
1930848
Title
An Agent-Based Dynamic Scheduling Solution for Resource-Constrained Project Scheduling
Author
Yu, Ying ; Wang, Chengwei ; Zhu, Ji
Author_Institution
Sch. of Mechatron. Eng. & Autom., Shanghai Univ., Shanghai, China
fYear
2012
fDate
25-27 Sept. 2012
Firstpage
120
Lastpage
123
Abstract
Resource-constrained project scheduling (RCPSP) is aimed at achieving a valid scheduling solution to minimize the whole duration/cost of the project subject to resource constraint, precedence constraint and temporal constraint. As resource unavailability may be unknown in advance in some periods of the project in reality, an agent-based dynamic solution for RCPSP with task splitting and uncertain resource supply is provided to solve this problem, the essence of which is to dynamically adjusting the key tasks of the project in accordance with the tasks´ time lags mainly caused by the uncertain resource supply. Besides, interruption of running tasks is allowed since it conforms to reality. A multi-agent system consisting of several agents and one resource agent is exploited to illustrate its performance. Lastly the experimental results illustrate the efficiency of dynamic solution.
Keywords
constraint handling; multi-agent systems; project management; resource allocation; scheduling; RCPSP; agent-based dynamic scheduling solution; multiagent system; precedence constraint; resource agent; resource-constrained project scheduling; task splitting; temporal constraint; time lag; uncertain resource supply; Dynamic scheduling; Europe; Intelligent agents; Job shop scheduling; Mathematical model; Multiagent systems; Processor scheduling; Dynamic solution; Multi-agent system; RCPSP; Task Splitting; Uncertain Resource supply;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence, Modelling and Simulation (CIMSiM), 2012 Fourth International Conference on
Conference_Location
Kuantan
ISSN
2166-8531
Print_ISBN
978-1-4673-3113-5
Type
conf
DOI
10.1109/CIMSim.2012.44
Filename
6338057
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