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Modelling without queues: adapting discrete-event simulation for service operations

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journal contribution
posted on 27.02.2015, 14:06 authored by Stewart Robinson
Discrete-event simulation (DES), which has largely grown out of modelling manufacturing systems, has increasingly been applied in the service sector. The approach, however, is not always appropriate for modelling service operations. In particular, it cannot help with detailed decisions about the layout of service operations in which the customers are present such as retail outlets and airports. An adapted DES approach is proposed for modelling such systems and the approach is demonstrated through a model of a coffee shop. A key innovation is that queues are not explicitly modelled. The benefit of the approach is that it simplifies the modelling of service systems in which the customers are present by reducing the number of components that need to be modelled. It can also aid decisions about the layout of a system. We ask whether the approach is in fact an agent-based simulation and identify ways in which the approach could be extended.

History

School

  • Business and Economics

Department

  • Business

Published in

Journal of Simulation

Volume

0

Issue

0

Pages

0 - ?

Citation

ROBINSON, S., 2014. Modelling without queues: adapting discrete-event simulation for service operations. Journal of Simulation, 9(3), pp.195-205.

Publisher

Palgrave Macmillan (© Operational Research Society Ltd)

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2014

Notes

This is a post-peer-review, pre-copyedit version of an article published in Journal of Simulation. The definitive publisher-authenticated version [ROBINSON, S., 2014. Modelling without queues: adapting discrete-event simulation for service operations. Journal of Simulation, advance online publication, 25 July 2014] is available online at: [http://dx.doi.org/doi:10.1057/jos.2014.2]

ISSN

1747-7786

Language

en