Modelling very large complex systems using distributed simulation: A pilot study in a healthcare setting

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DC Field	Value	Language
dc.contributor.author	Brailsford, S	-
dc.contributor.author	Katsaliaki, K	-
dc.contributor.author	Mustafee, N	-
dc.contributor.author	Taylor, SJE	-
dc.coverage.spatial	6	en
dc.date.accessioned	2009-12-23T09:45:08Z	-
dc.date.available	2009-12-23T09:45:08Z	-
dc.date.issued	2006	-
dc.identifier.citation	Proceedings of the 2006 Operational Research Society Simulation Workshop (SW06), Leamington Spa, March 2006. pp. 257-262	en
dc.identifier.uri	http://www.orsoc.org.uk/conf/simulation2006/proceedings/SW06_36BrailsfordKatsaliakiMustafeeTaylor.pdf	en
dc.identifier.uri	http://bura.brunel.ac.uk/handle/2438/4002	-
dc.description.abstract	Modern manufacturing supply chains are hugely complex and like all stochastic systems, can benefit from simulation. Unfortunately supply chain systems often result in massively large and complicated models, which even today’s powerful computers cannot run efficiently. This paper presents one possible solution - distributed simulation. This pilot study is implemented in a healthcare setting, the supply chain of blood from donor to recipient.	en
dc.language.iso	en	en
dc.publisher	Operational Research Society	en
dc.subject	Distributed simulation	en
dc.subject	Healthcare	en
dc.subject	Blood transfusion	en
dc.subject	Supply chains	en
dc.title	Modelling very large complex systems using distributed simulation: A pilot study in a healthcare setting	en
dc.type	Conference Paper	en
Appears in Collections:	Computer Science Dept of Computer Science Research Papers

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