DocumentCode
3028865
Title
Sensitivity analysis of linear programming formulations for G/G/M queue
Author
Chan, Wai Kin Victor ; Closser, Nowell
Author_Institution
Dept. of Ind. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
fYear
2013
fDate
8-11 Dec. 2013
Firstpage
667
Lastpage
677
Abstract
Linear programming representations for discrete-event simulation provide an alternative approach for analyzing discrete-event simulations. This paper presents several formulations for G/G/m queues and discusses the applications and limitations of these formulations. We derive the relationship between these formulations. We then demonstrate the applications of these formulations in sample-path gradient estimation.
Keywords
discrete event simulation; linear programming; queueing theory; sensitivity analysis; G/G/m queue; discrete-event simulation; linear programming formulation; linear programming representations; sample-path gradient estimation; sensitivity analysis; Analytical models; Linear programming; Mathematical model; Mathematical programming; Sensitivity analysis; Servers;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Conference (WSC), 2013 Winter
Conference_Location
Washington, DC
Print_ISBN
978-1-4799-2077-8
Type
conf
DOI
10.1109/WSC.2013.6721460
Filename
6721460
Link To Document