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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lu, R.F. Shuguang Song |
| Copyright Year | 2010 |
| Description | Author affiliation: The Boeing Company, P. O. Box 3707, Seattle, WA 98124-2207, USA (Lu, R.F.; Shuguang Song) |
| 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. |
| Starting Page | 254 |
| Ending Page | 267 |
| File Size | 208497 |
| Page Count | 14 |
| File Format | |
| ISBN | 9781424498666 |
| ISSN | 15584305 |
| e-ISBN | 9781424498659 |
| DOI | 10.1109/WSC.2010.5679157 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-12-05 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Correlation Airplanes Tutorials Random variables Particle measurements Stochastic processes Production |
| Content Type | Text |
| Resource Type | Article |
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