• DocumentCode
    2805410
  • Title

    Dynamic spatial block arrangement scheduling in shipbuilding industry using genetic algorithm

  • Author

    Varghese, Raisa ; Yoon, Duck Young

  • Author_Institution
    Graduate Sch. of Naval Archit. & Ocean Eng., Chosun Univ., Gwangju, South Korea
  • fYear
    2005
  • fDate
    10-12 Aug. 2005
  • Firstpage
    444
  • Lastpage
    449
  • Abstract
    In any large heavy industry like that of ship building, there exist a lot of complications for the arrangement of building blocks optimally for the minimal space consumption. The major problem arises at yard because of scarcity of space for arranging the building blocks of ship under construction. A standardized erection sequence diagram is generally available to provide the prioritized erection sequence and it serves as the frame work In order to make a timely erection of the blocks a post plan has to be developed so that the blocks lie in the nearest possible vicinity of the material handling devices while keeping the priority of erection and the blocks are arranged in the pre-erection area. This kind of readiness of blocks leads to a very complex problem of space. This arises due to the least available space leading to an urgent need for intelligent spatial schedule without compromising the rate of production. There exists two critical problems ahead namely, the spatial occupation layout of pre-erection area and the evacuating pattern in the spatial vicinity. The block shape is assumed be rectangular. The related input data´s are the dates of erection (earliest as well as the latest), geometrical parameters of block available on pre-erection area, slack time and the like.
  • Keywords
    genetic algorithms; scheduling; shipbuilding industry; dynamic spatial block arrangement scheduling; evacuating pattern; genetic algorithm; intelligent spatial schedule; optimisation; pre-erection area; shipbuilding industry; spatial occupation layout; standardized erection sequence diagram; Aerospace industry; Buildings; Construction industry; Dynamic scheduling; Genetic algorithms; Job shop scheduling; Marine vehicles; Materials handling; Production; Shipbuilding industry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Informatics, 2005. INDIN '05. 2005 3rd IEEE International Conference on
  • Print_ISBN
    0-7803-9094-6
  • Type

    conf

  • DOI
    10.1109/INDIN.2005.1560417
  • Filename
    1560417