Please use this identifier to cite or link to this item:
|Title:||Simulation-based estimation of cycle time using quantile regression|
|Authors:||Chen, N. |
|Keywords:||Cycle time estimation|
|Citation:||Chen, N., Zhou, S. (2011-03). Simulation-based estimation of cycle time using quantile regression. IIE Transactions (Institute of Industrial Engineers) 43 (3) : 176-191. ScholarBank@NUS Repository. https://doi.org/10.1080/0740817X.2010.521806|
|Abstract:||Production cycle time is an important performance measure in manufacturing systems, and thus it is of interest to characterize distributional properties, such as quantiles, for informative decision making. This article proposes a non-linear quantile regression model for the relationship between stationary cycle time quantiles and corresponding throughput rates of a manufacturing system. The statistical properties of the estimated cycle time quantiles are investigated and the impact of dependent data from simulation output on parameter estimations is analyzed. Extensive numerical studies are presented to demonstrate the effectiveness of the proposed methods. Copyright © 2010 "IIE".|
|Source Title:||IIE Transactions (Institute of Industrial Engineers)|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Mar 19, 2019
WEB OF SCIENCETM
checked on Mar 5, 2019
checked on Jan 26, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.