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
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