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Download fileModelling without queues: adapting discrete-event simulation for service operations
journal contribution
posted on 2015-02-27, 14:06 authored by Stewart RobinsonDiscrete-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 SimulationVolume
0Issue
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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
2014Notes
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
1747-7786Publisher version
Language
- en