• DocumentCode
    3273567
  • Title

    Lean+ manufacturing process analysis simulation (LPAS+)

  • Author

    Gregg, Michael L. ; Van Andel, Sean M. ; Saylor, Steven E.

  • Author_Institution
    Boeing Co., St. Louis, MO, USA
  • fYear
    2011
  • fDate
    11-14 Dec. 2011
  • Firstpage
    2166
  • Lastpage
    2175
  • Abstract
    This paper presents an approach for modeling manufacturing process flows using a database-driven simulation design based on commercially available general purpose simulation software. The Lean+ Process Analysis Simulation (LPAS+) incorporates a work flow schedule to model cycle time and resource usage, accounting for task sequencing, task duration variability, resource (labor, tooling, position, etc.) requirements, maximum capacity, and contention. Advantages of the approach include rapid model development, 100 percent reusability, a database driven architecture, the incorporation of macros for automating the population of detailed input tables, and ease of end model use by non-simulation experts. The approach has been used successfully within Boeing to support analysis and cycle time reduction of aircraft and spacecraft production flows and resource requirements analysis including labor and equipment.
  • Keywords
    database management systems; digital simulation; manufacturing processes; LPAS+; aircraft production flows; database driven architecture; database driven simulation design; lean+ manufacturing process analysis simulation; resource requirements analysis; spacecraft production flows; Analytical models; Data models; Databases; Manufacturing; Production; Schedules;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), Proceedings of the 2011 Winter
  • Conference_Location
    Phoenix, AZ
  • ISSN
    0891-7736
  • Print_ISBN
    978-1-4577-2108-3
  • Electronic_ISBN
    0891-7736
  • Type

    conf

  • DOI
    10.1109/WSC.2011.6147929
  • Filename
    6147929