• DocumentCode
    1914971
  • Title

    A tutorial on concepts and measures of manufacturing processes dependence

  • Author

    Lu, Roberto F. ; Song, Shuguang

  • Author_Institution
    Boeing Co., Seattle, WA, USA
  • fYear
    2010
  • fDate
    5-8 Dec. 2010
  • Firstpage
    254
  • Lastpage
    267
  • Abstract
    In a large-scale production system such as building a Boeing 777 airplane, there are more than ten thousand jobs. The interdependence structure among jobs and some jobs´ delay´s influence on the other jobs in different manufacturing areas are critical information to understand the status of their area. Relationship among groups of jobs may help us find the root cause of problems, to estimate resource planning and to prioritize their tasks. This tutorial is intended to review and introduce commonly used concepts and measures of stochastic dependence. In particular, we focus on concept of positive quadrant dependence, global and local measures of bivariate dependence. Some categorical data analysis techniques and probabilistic models will also be presented. Monte-Carlo simulation techniques will be introduced to provide confidence intervals for estimated measures. Finally, we apply the statistical methods in this tutorial to Boeing 777 production processes as a case study.
  • Keywords
    Monte Carlo methods; data analysis; manufacturing data processing; manufacturing resources planning; stochastic processes; Boeing 777; Monte-Carlo simulation; bivariate dependence; data analysis; large-scale production system; manufacturing areas; manufacturing process; positive quadrant dependence; resource planning; stochastic dependence; Airplanes; Correlation; Particle measurements; Production; Random variables; Stochastic processes; Tutorials;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), Proceedings of the 2010 Winter
  • Conference_Location
    Baltimore, MD
  • ISSN
    0891-7736
  • Print_ISBN
    978-1-4244-9866-6
  • Type

    conf

  • DOI
    10.1109/WSC.2010.5679157
  • Filename
    5679157