• 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