Title
Optimal grouping for a nuclear magnetic resonance (NMR) scanner Optimal grouping for a nuclear magnetic resonance (NMR) scanner
Author
Faculty/Department
Faculty of Applied Economics
Publication type
report
Publication
Antwerpen :UA, [*]
Source (series)
Research paper / Faculty of Applied Economics UFSIA-RUCA ; 2001:040
Volume/pages
21 p.,
Carrier
E
Target language
English (eng)
Affiliation
University of Antwerp
Abstract
In this paper we analyze how a Nuclear Magnetic Resonance Scanner can be managed more efficiently, simultaneously improving patient comfort (in terms of total time spent in the system) and increasing availability in case of emergency calls. By means of a superposition approach, all relevant data on the arrival and service process of different patient types are transformed into a general single server, single class queueing model. The objective function consists of the weighted average patient lead time, which is a multi-dimensional convex function of the different patient group sizes. The optimal patient group sizes are determined by means of a dedicated optimization routine. The model does not only provide a valuable aid for planning purposes, but also allows to model customer service. It is illustrated by means of real life data, obtained from the Virga Jesse Hospital (Hasselt, Belgium).
Full text (open access)
https://repository.uantwerpen.be/docman/irua/84430f/87d04046.pdf
Handle