• DocumentCode
    239572
  • Title

    Modeling construction manufacturing processes using foresight

  • Author

    Flood, Ian

  • Author_Institution
    Rinker Sch. Coll. of Design, Constr. & Planning, Univ. of Florida, Gainesville, FL, USA
  • fYear
    2014
  • fDate
    7-10 Dec. 2014
  • Firstpage
    3331
  • Lastpage
    3340
  • Abstract
    An essential part of the planning and control of any manufacturing system is the development of a model of the key processes. The Critical Path Method (CPM) is the most widely used modeling method in construction due to its simplicity. Discrete-event simulation is more versatile than CPM and is well suited to modeling manufacturing processes since these tend to be repetitive, but it lacks the simplicity in use of CPM and thus has not been widely adopted in construction. This paper demonstrates an alternative modelling approach, Foresight, developed to provide the modeling versatility of simulation, and yet be relatively simple to use and visually insightful. Previous work demonstrated the application of Foresight to in-place construction work and compared its performance to conventional simulation. This paper extends this work, demonstrating the application of Foresight to manufactured construction processes whereby streams of jobs, with design variances, are executed within a factory.
  • Keywords
    construction; manufacturing processes; modelling; production planning; CPM; Foresight modelling approach; construction manufacturing processes modeling; construction work; critical path method; design variances; discrete-event simulation; factory; manufacturing system control; manufacturing system planning; modeling method; modeling versatility; Concrete; Curing; Floods; Job shop scheduling; Manufacturing processes; Planning; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), 2014 Winter
  • Conference_Location
    Savanah, GA
  • Print_ISBN
    978-1-4799-7484-9
  • Type

    conf

  • DOI
    10.1109/WSC.2014.7020167
  • Filename
    7020167