Comparing simulation output accuracy of discrete event and agent based models: a quantitative approach

Abdul Majid, Mazlina, Aickelin, Uwe and Siebers, Peer-Olaf (2009) Comparing simulation output accuracy of discrete event and agent based models: a quantitative approach. Proceedings of the Summer Computer Simulation Conference, 2009 . pp. 177-184.

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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.

Item Type: Article
Additional Information: Paper originally presented at Summer Computer Simulation Conference (SCSC 2009), Istanbul, Turkey.
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
Depositing User: Aickelin, Professor Uwe
Date Deposited: 24 Aug 2012 10:21
Last Modified: 04 May 2020 20:26

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