DocumentCode
2178358
Title
An efficient Ranking and Selection procedure for a linear transient mean performance measure
Author
Morrice, Douglas J. ; Brantley, Mark W. ; Chen, Chun-Hung
Author_Institution
Red McCombs Sch. of Bus., Univ. of Texas at Austin, Austin, TX, USA
fYear
2008
fDate
7-10 Dec. 2008
Firstpage
290
Lastpage
296
Abstract
We develop a ranking and selection procedure for selecting the best configuration based on a transient mean performance measure. The procedure extends the OCBA approach to systems whose means are a function of some other variable such as time. In particular, we characterize this as a prediction problem and imbed a regression model in the OCBA procedure. In this paper, we analyze the linear case and discuss a number of extensions. Additionally, we provide some motivating examples for this approach.
Keywords
prediction theory; regression analysis; transient response; OCBA; linear transient mean performance measure; prediction problem; ranking and selection procedure; regression model; Analytical models; Computational modeling; Operations research; Predictive models; Product development; Product safety; Systems engineering and theory; Time measurement; Transient analysis; Virtual prototyping;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Conference, 2008. WSC 2008. Winter
Conference_Location
Austin, TX
Print_ISBN
978-1-4244-2707-9
Electronic_ISBN
978-1-4244-2708-6
Type
conf
DOI
10.1109/WSC.2008.4736080
Filename
4736080
Link To Document