Title :
Sensitivity of output performance measures to input distribution shape in modeling queues.3. Real data scenario
Author_Institution :
Dept. of Syst. Eng. & Oper. Res., George Mason Univ., Fairfax, VA, USA
fDate :
6/21/1905 12:00:00 AM
Abstract :
This paper follows-on papers presented at the two previous WSC conferences on sensitivity of output measures to input distribution selection in queueing modeling. Here, a real situation is studied, where data on input distributions are utilized and distributions selected by two fitting packages, Arena Input Analyzer and ExpertFit. Empirical distributions made from histograms of the raw data itself, as well as the first two choices from Arena and ExpertFit are compared for this small bank queueing network model, showing that an output measure such as mean wait in queue is quite sensitive to input distribution choice
Keywords :
banking; discrete event simulation; queueing theory; Arena; Arena Input Analyzer; ExpertFit; bank queueing network model; discrete event simulation; fitting packages; histograms; input distribution shape; output performance measures; queueing modeling; sensitivity; Data engineering; Histograms; Modeling; Operations research; Packaging; Particle measurements; Queueing analysis; Shape measurement; Systems engineering and theory; Traffic control;
Conference_Titel :
Simulation Conference Proceedings, 1999 Winter
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5780-9
DOI :
10.1109/WSC.1999.823108