Paper Info
Title
Efficient generation of cycle time-throughput curves through simulation and metamodeling
Abstract
A cycle time-throughput (CT-TH) curve plays an important role in strategic planning for manufacturing systems. In this research, we seek to quantify the relationship of the moments and percentiles of cycle time to throughput rate via simulation experiments. The estimation of CT-TH moment curves is based on a nonlinear regression metamodel supported by queueing theory, and the adequacy of the model has been proved through our numerical experiments. Utilizing the estimated moment curves of cycle time, we proposed to estimate the CT-TH percentile curves in an indirect method assuming that the underlying distribution of cycle time is a generalized gamma, a highly flexible distribution. More specifically, we fit metamodels for the first three CT-TH moment curves throughout the throughput range of interest, determine the parameters of the generalized gamma by matching moments, and then obtain percentiles by inverting the distribution. To insure efficiency and control estimation error, simulation experiments are sequentially built up to optimize some design criterion.
Year
DOI
Venue
2005
10.1145/1162708.1163139
Winter Simulation Conference
Keywords
DocType
Volume
discrete event simulation,underlying distribution,cycle time-throughput,queueing,design of experiments,ct-th percentile curve,estimated moment curve,generalized gamma,control estimation error,cycle time-throughput curve,simulation experiment,flexible distribution,efficient generation,semiconductor manufacturing,cycle time,ct-th moment curve,response surface modeling,simulation model,design of experiment,nonlinear regression,queueing theory,strategic planning
Conference
54
Issue
ISBN
Citations 
1
0-7803-9519-0
15
PageRank 
References 
Authors
2.45
3
3
Name
Order
Citations
PageRank
Feng Yang1477.21
Bruce E. Ankenman214518.19
Barry L. Nelson31876257.62