@inproceedings{henmas00,
	abstract = {The St. John Ambulance Service (Auckland Region) in New Zealand (St Johns) supplies ambulance services to the Crown Health Enterprises. Current and future contracts specify several minimum performance targets that St Johns must achieve. As the city of Auckland grows, roads become congested, and population demographics change. These changes mean that St. Johns faces a very difficult problem: how many ambulances are needed, and where should they be placed in order to meet the service targets efficiently.

A preliminary study using queueing theory suggested that more ambulances were needed. However, the assumptions required in the queueing model were such that a more realistic modelling approach was deemed necessary to verify and refine the queueing model results. We discuss a simulation and analysis software tool BartSim developed by the authors that is currently being used to address the issues St. Johns faces. The results obtained from BartSim will be used to drive changes to the rostering process for staff at St. Johns.},
	author = {Shane G. Henderson and Andrew J. Mason},
	booktitle = {Proceedings of the 35th Conference of the Operational Research Society of New Zealand},
	date-added = {2016-01-10 19:26:34 +0000},
	date-modified = {2016-01-10 19:27:37 +0000},
	pages = {57--64},
	title = {{BartSim}: A tool for analysing and improving ambulance performance in Auckland, New Zealand},
	url_paper = {pubs/BartSim2000.pdf},
	year = {2000}}

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