Rostering staff at a mathematics support service using a finite-source queueing model

Gillard, Jonathan William ORCID: https://orcid.org/0000-0001-9166-298X, Knight, Vincent Anthony ORCID: https://orcid.org/0000-0002-4245-0638, Vile, Julie Leanne and Wilson, Robert 2016. Rostering staff at a mathematics support service using a finite-source queueing model. IMA Journal of Management Mathematics 27 (2) , pp. 201-209. 10.1093/imaman/dpu017

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Abstract

We study the problem of staffing university mathematics support services (MSSs) in which students drop in to the service (without appointment) for tutoring support. Our approach seeks to find the minimum sufficient number of tutors (with appropriate specialities) to present by hour and day to cover student demand with tolerable delays. We employ traditional operational research techniques to aid managers and administrators of MSSs to roster their services. The machine interference type queue is adopted to model the number of student queries within a mathematics support session. We define and solve an appropriate integer program to roster the number of tutors needed to run the service efficiently.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Mathematics
Subjects:	Q Science > QA Mathematics
Publisher:	Oxford University Press
ISSN:	1471-678X
Date of Acceptance:	22 July 2014
Last Modified:	29 Nov 2024 21:30
URI:	https://orca.cardiff.ac.uk/id/eprint/71435

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