Paper Info
Title
Implementing MSER-5 in commercial simulation software and its wider implications
Abstract
Starting a model from an unrealistic state can lead to initialization bias in the simulation output. This, in turn, can produce bias in the results and lead to incorrect conclusions. One method for dealing with this problem is to run the model for a warm-up period until steady state is reached and remove the initialization bias by deleting the data within that warm-up period. Our previous research identified the MSER-5 algorithm as the best candidate warm-up method for implementation into an automated output analysis system, and for inclusion into existing DES software products. However, during an attempt to implement an automatable sequential version of the MSER-5 procedure into existing discrete-event simulation software several issues arose. This paper describes the framework and associated adaption of MSER-5 in order to automate it. It then discusses in detail the implementation issues that arose and some potential solutions.
Year
DOI
Venue
2011
10.1109/WSC.2011.6147779
Winter Simulation Conference
Keywords
Field
DocType
implementation issue,warm-up period,automated output analysis system,des software product,wider implication,discrete-event simulation software,mser-5 procedure,simulation output,mser-5 algorithm,commercial simulation software,best candidate warm-up method,initialization bias,discrete event simulation,algorithm design,steady state,data model,data models,algorithm design and analysis,simulation software
Simulation software,Software design,Computer science,Simulation,Software metric,Initialization,Software construction,Software sizing,Goal-Driven Software Development Process,Software verification
Conference
ISSN
ISBN
Citations 
0891-7736
978-1-4799-2077-8
1
PageRank 
References 
Authors
0.36
3
2
Name
Order
Citations
PageRank
Kathryn Hoad1415.00
Stewart Robinson258350.51