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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/16839

Title: Modelling without queues: adapting discrete-event simulation for service operations
Authors: Robinson, Stewart
Keywords: Simulation
Service operations layout
Discrete-event simulation
Agent-based simulation
Issue Date: 2014
Publisher: Palgrave Macmillan (© Operational Research Society Ltd)
Citation: ROBINSON, S., 2014. Modelling without queues: adapting discrete-event simulation for service operations. Journal of Simulation, 9(3), pp.195-205.
Abstract: 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.
Description: 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]
Version: Accepted for publication
DOI: 10.1057/jos.2014.21
URI: https://dspace.lboro.ac.uk/2134/16839
Publisher Link: http://dx.doi.org/10.1057/jos.2014.21
ISSN: 1747-7786
Appears in Collections:Published Articles (Business School)

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