• DocumentCode
    677700
  • Title

    A simulation tool for complex assembly lines with multi-skilled resources

  • Author

    Angelidis, Evangelos ; Bohn, Daniel ; Rose, Oliver

  • Author_Institution
    Dept. of Comput. Sci., Univ. of the Bundeswehr Munich, Neubiberg, Germany
  • fYear
    2013
  • fDate
    8-11 Dec. 2013
  • Firstpage
    2577
  • Lastpage
    2586
  • Abstract
    The focus areas of our research are simulation and optimization of complex assembly lines for heavy machinery (airplanes, turbines, industrial machines etc.). These production facilities have several specific characteristics: many isolated project networks with precedence constraints and thousands of multi-mode activities, time-bounds for activities and projects, many priority rules, limited numbers of multi-skilled resources with individual shift regimes, internal and subcontracted personnel, and resource locking rules. Formally, it is defined as a Multi-Mode Resource-Constrained Multi-Project Scheduling Problem with activity splitting. A promising way of dealing with problems in this domain is simulation-based optimization. In this paper, we introduce a specific custom-built simulator designed for this problem domain. The tool supports a variety of real-world extensions and dedicated behavior which usually comes at enormous runtime and development cost when it has to be built into a commercial off-the-shelf simulation tool.
  • Keywords
    assembling; machinery production industries; optimisation; personnel; production facilities; resource allocation; scheduling; assembly lines; heavy machinery production facilities; individual shift regimes; internal personnel; multimode activities; multimode resource constrained multiproject scheduling problem; multiskilled resources; off-the-shelf simulation tool; optimization; resource locking rules; subcontracted personnel; Assembly; Data models; Job shop scheduling; Optimization; Runtime; Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), 2013 Winter
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4799-2077-8
  • Type

    conf

  • DOI
    10.1109/WSC.2013.6721630
  • Filename
    6721630