• DocumentCode
    2185258
  • Title

    Multi-Agent Resource Allocation (MARA) for modeling construction processes

  • Author

    Liu, Yang ; Mohamed, Yasser

  • Author_Institution
    Dept. of Civil & Environ. Eng., Univ. of Alberta, Edmonton, AB, Canada
  • fYear
    2008
  • fDate
    7-10 Dec. 2008
  • Firstpage
    2361
  • Lastpage
    2369
  • Abstract
    Multi-agent resource allocation (MARA) is a field developing solutions to the problem of distributing a number of resources amongst multiple agents. This field has inter-disciplinary characteristics and relates to a wide range of applications, such as industrial procurement, scheduling and network routing. Many construction operations involve entities sharing and competing for limited resources. The decision to allocate these resources to entities usually has a significant impact on the schedule and cost of these operations. The dynamic and continuously changing nature of construction operations justifies the need for decision support tools with high adaptability and handling of uncertainty which is featured by MARA. This paper presents the main elements and techniques in MARA and discusses a sample case applying these techniques for the modeling of industrial construction assembly processes, also presents the conceptual model of the sample case and a prototype implementation of that model using Repast multi-agent simulation package.
  • Keywords
    assembling; digital simulation; multi-agent systems; production engineering computing; resource allocation; scheduling; software agents; Repast multiagent simulation package; conceptual model; decision support tool; industrial construction assembly process modeling; industrial procurement; multiagent resource allocation; network routing; scheduling application; uncertainty handling; Assembly; Construction industry; Costs; Job shop scheduling; Packaging; Procurement; Resource management; Routing; Uncertainty; Virtual prototyping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference, 2008. WSC 2008. Winter
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4244-2707-9
  • Electronic_ISBN
    978-1-4244-2708-6
  • Type

    conf

  • DOI
    10.1109/WSC.2008.4736343
  • Filename
    4736343