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- W1983713856 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." @default.
- W1983713856 created "2016-06-24" @default.
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- W1983713856 date "2010-12-30" @default.
- W1983713856 modified "2023-09-25" @default.
- W1983713856 title "Simulation-based estimation of cycle time using quantile regression" @default.
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- W1983713856 doi "https://doi.org/10.1080/0740817x.2010.521806" @default.
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