Please use this identifier to cite or link to this item: https://doi.org/10.1080/0740817X.2010.521806
Title: Simulation-based estimation of cycle time using quantile regression
Authors: Chen, N. 
Zhou, S.
Keywords: Cycle time estimation
quantile regression
system throughput
Issue Date: Mar-2011
Source: 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)
URI: http://scholarbank.nus.edu.sg/handle/10635/63314
ISSN: 0740817X
DOI: 10.1080/0740817X.2010.521806
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