Comparing Simulation Output Accuracy of Discrete Event and Agent Based Models: A Quantitative Approach

In our research we investigate the output accuracy of discrete event simulation models and agent based simulation models when studying human centric complex systems. In this paper we focus on human reactive behaviour as it is possible in both modelling approaches to implement human reactive behaviou...

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Main Authors:	Mazlina, Abdul Majid, Aickelin, Uwe, Siebers, Peer-Olaf
Format:	Conference or Workshop Item
Language:	English
Published:	Society for Modeling & Simulation International 2009
Subjects:	T Technology (General) QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/7359/ http://umpir.ump.edu.my/id/eprint/7359/ http://umpir.ump.edu.my/id/eprint/7359/1/SCSC_2009.pdf

id	ump-7359
recordtype	eprints
spelling	ump-73592018-04-12T03:50:30Z http://umpir.ump.edu.my/id/eprint/7359/ Comparing Simulation Output Accuracy of Discrete Event and Agent Based Models: A Quantitative Approach Mazlina, Abdul Majid Aickelin, Uwe Siebers, Peer-Olaf T Technology (General) QA75 Electronic computers. Computer science In our research we investigate the output accuracy of discrete event simulation models and agent based simulation models when studying human centric complex systems. In this paper we focus on human reactive behaviour as it is possible in both modelling approaches to implement human reactive behaviour in the model by using standard methods. As a case study we have chosen the retail sector, and here in particular the operations of the fitting room in the women wear department of a large UK department store. In our case study we looked at ways of determining the efficiency of implementing new management policies for the fitting room operation through modelling the reactive behaviour of staff and customers of the department. First, we have carried out a validation experiment in which we compared the results from our models to the performance of the real system. This experiment also allowed us to establish differences in output accuracy between the two modelling methods. In a second step a multi-scenario experiment was carried out to study the behaviour of the models when they are used for the purpose of operational improvement. Overall we have found that for our case study example both, discrete event simulation and agent based simulation have the same potential to support the investigation into the efficiency of implementing new management policies. Society for Modeling & Simulation International 2009 Conference or Workshop Item NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/7359/1/SCSC_2009.pdf Mazlina, Abdul Majid and Aickelin, Uwe and Siebers, Peer-Olaf (2009) Comparing Simulation Output Accuracy of Discrete Event and Agent Based Models: A Quantitative Approach. In: Proceedings of the Summer Computer Simulation Conference (SCSC 2009), 13-16 July 2009 , Istanbul, Turkey. pp. 177-184.. http://dl.acm.org/citation.cfm?id=2349508&picked=prox
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	T Technology (General) QA75 Electronic computers. Computer science
spellingShingle	T Technology (General) QA75 Electronic computers. Computer science Mazlina, Abdul Majid Aickelin, Uwe Siebers, Peer-Olaf Comparing Simulation Output Accuracy of Discrete Event and Agent Based Models: A Quantitative Approach
description	In our research we investigate the output accuracy of discrete event simulation models and agent based simulation models when studying human centric complex systems. In this paper we focus on human reactive behaviour as it is possible in both modelling approaches to implement human reactive behaviour in the model by using standard methods. As a case study we have chosen the retail sector, and here in particular the operations of the fitting room in the women wear department of a large UK department store. In our case study we looked at ways of determining the efficiency of implementing new management policies for the fitting room operation through modelling the reactive behaviour of staff and customers of the department. First, we have carried out a validation experiment in which we compared the results from our models to the performance of the real system. This experiment also allowed us to establish differences in output accuracy between the two modelling methods. In a second step a multi-scenario experiment was carried out to study the behaviour of the models when they are used for the purpose of operational improvement. Overall we have found that for our case study example both, discrete event simulation and agent based simulation have the same potential to support the investigation into the efficiency of implementing new management policies.
format	Conference or Workshop Item
author	Mazlina, Abdul Majid Aickelin, Uwe Siebers, Peer-Olaf
author_facet	Mazlina, Abdul Majid Aickelin, Uwe Siebers, Peer-Olaf
author_sort	Mazlina, Abdul Majid
title	Comparing Simulation Output Accuracy of Discrete Event and Agent Based Models: A Quantitative Approach
title_short	Comparing Simulation Output Accuracy of Discrete Event and Agent Based Models: A Quantitative Approach
title_full	Comparing Simulation Output Accuracy of Discrete Event and Agent Based Models: A Quantitative Approach
title_fullStr	Comparing Simulation Output Accuracy of Discrete Event and Agent Based Models: A Quantitative Approach
title_full_unstemmed	Comparing Simulation Output Accuracy of Discrete Event and Agent Based Models: A Quantitative Approach
title_sort	comparing simulation output accuracy of discrete event and agent based models: a quantitative approach
publisher	Society for Modeling & Simulation International
publishDate	2009
url	http://umpir.ump.edu.my/id/eprint/7359/ http://umpir.ump.edu.my/id/eprint/7359/ http://umpir.ump.edu.my/id/eprint/7359/1/SCSC_2009.pdf
first_indexed	2023-09-18T22:03:59Z
last_indexed	2023-09-18T22:03:59Z
_version_	1777414585044697088

Comparing Simulation Output Accuracy of Discrete Event and Agent Based Models: A Quantitative Approach

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