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Facilitating the analysis of a UK national blood service supply chain using distributed simulation

Facilitating the analysis of a UK national blood service supply chain using distributed simulation
Facilitating the analysis of a UK national blood service supply chain using distributed simulation
In an attempt to investigate blood unit ordering policies, researchers have created a discrete-event model of the UK National Blood Service (NBS) supply chain in the Southampton area of the UK. The model has been created using Simul8, a commercial off-the-shelf (COTS) discrete-event simulation package (CSP). However, as more hospitals were added to the model, it was discovered that the length of time needed to perform a single simulation severely increased. It has been claimed that distributed simulation, a technique that uses the resources of many computers to execute a simulation model, can reduce simulation runtime. Further, an emerging standardized approach exists that supports distributed simulation with CSPs. These CSP Interoperability (CSPI) standards are compatible with the IEEE 1516 standard, the High Level Architecture (HLA), the de facto interoperability standard for distributed simulation. To investigate if distributed simulation can reduce the execution time of NBS supply chain simulation, this paper presents experiences of creating a distributed version of the CSP Simul8 according to the CSPI/HLA standards. It shows that the distributed version of the simulation does indeed run faster when the model reaches a certain size. Further, we argue that understanding the relationship of model features is key to performance. This is illustrated by experimentation with two different protocols implementations (using Time Advance Request (TAR) and Next Event Request (NER)). Our contribution is therefore the demonstration that distributed simulation is a useful technique in the timely execution of supply chains of this type and that careful analysis of model features can further increase performance.

discrete-event simulation, supply chain simulation, commercial simulation packages, distributed simulation, high level architecture, standards
0037-5497
113-128
Mustafee, Navonil
946116f7-b085-42e8-8b7d-d96cdf3470a1
Katsaliaki, Korina
6de37935-e254-4a4d-9626-d285624cb20c
Taylor, Simon J.E.
c021bfb3-41b8-4da5-8fd2-1d10404234dd
Brailsford, Sally
634585ff-c828-46ca-b33d-7ac017dda04f
Mustafee, Navonil
946116f7-b085-42e8-8b7d-d96cdf3470a1
Katsaliaki, Korina
6de37935-e254-4a4d-9626-d285624cb20c
Taylor, Simon J.E.
c021bfb3-41b8-4da5-8fd2-1d10404234dd
Brailsford, Sally
634585ff-c828-46ca-b33d-7ac017dda04f

Mustafee, Navonil, Katsaliaki, Korina, Taylor, Simon J.E. and Brailsford, Sally (2009) Facilitating the analysis of a UK national blood service supply chain using distributed simulation. Simulation, 85 (2), 113-128. (doi:10.1177/0037549708100530).

Record type: Article

Abstract

In an attempt to investigate blood unit ordering policies, researchers have created a discrete-event model of the UK National Blood Service (NBS) supply chain in the Southampton area of the UK. The model has been created using Simul8, a commercial off-the-shelf (COTS) discrete-event simulation package (CSP). However, as more hospitals were added to the model, it was discovered that the length of time needed to perform a single simulation severely increased. It has been claimed that distributed simulation, a technique that uses the resources of many computers to execute a simulation model, can reduce simulation runtime. Further, an emerging standardized approach exists that supports distributed simulation with CSPs. These CSP Interoperability (CSPI) standards are compatible with the IEEE 1516 standard, the High Level Architecture (HLA), the de facto interoperability standard for distributed simulation. To investigate if distributed simulation can reduce the execution time of NBS supply chain simulation, this paper presents experiences of creating a distributed version of the CSP Simul8 according to the CSPI/HLA standards. It shows that the distributed version of the simulation does indeed run faster when the model reaches a certain size. Further, we argue that understanding the relationship of model features is key to performance. This is illustrated by experimentation with two different protocols implementations (using Time Advance Request (TAR) and Next Event Request (NER)). Our contribution is therefore the demonstration that distributed simulation is a useful technique in the timely execution of supply chains of this type and that careful analysis of model features can further increase performance.

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More information

Published date: 2009
Keywords: discrete-event simulation, supply chain simulation, commercial simulation packages, distributed simulation, high level architecture, standards

Identifiers

Local EPrints ID: 147545
URI: http://eprints.soton.ac.uk/id/eprint/147545
ISSN: 0037-5497
PURE UUID: 78ebf73d-11ef-4981-bd37-c4ec9eb0e917
ORCID for Sally Brailsford: ORCID iD orcid.org/0000-0002-6665-8230

Catalogue record

Date deposited: 18 May 2010 08:46
Last modified: 14 Mar 2024 02:35

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Contributors

Author: Navonil Mustafee
Author: Korina Katsaliaki
Author: Simon J.E. Taylor

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