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In-person class cancellation and work-from-home / Annulation des cours en présentiel et télétravail

Updated: Tue, 03/10/2026 - 17:14
In-person class cancellation and work-from-home / Annulation des cours en présentiel et télétravail. McGILL ALERT! Due to freezing rain all in-person classes and activities on Wednesday, March 11, will be cancelled. Staff are asked not to come to campus tomorrow unless they are required on site by their supervisor to perform necessary functions and activities. See your 91Ë¿¹ÏÊÓÆµ email for more information.
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ALERTE McGILL! En raison de la pluie verglaçante, tous les cours et activités en présentiel prévus pour le mercredi 11 mars sont annulés. Nous demandons au personnel de ne pas se présenter sur le campus demain, à moins que leur superviseur ne leur demande d’être sur place pour accomplir des fonctions ou activités nécessaires au fonctionnement du campus. Pour plus d’informations, veuillez consulter vos courriels de 91Ë¿¹ÏÊÓÆµ.
News

The impact of client choice on preventive healthcare facility network design

Published: 13 January 2012

Authors: Zhang, Yue; Berman, Oded; Verter, Vedat

Abstract:

In contrast with sick people who need urgent medical attention, the clientele of preventive healthcare have a choice in whether to participate in the programs offered in their region.  In order to maximize the total participation to a preventive care program, it is important to incorporate how potential clients choose the facilities to patronize. We study the impact of client choice behavior on the configuration of a preventive care facility network and the resulting level of participation. To this end, we present two alternative models: in the "probabilistic-choice model" a client may patronize each facility with a certain probability, which increases with the attractiveness of the available facilities. In contrast, the "optimal-choice model" stipulates that each client will go to the most attractive facility. In this paper, we assume that the proximity to a facility is the only attractiveness attribute considered by clients. To ensure the quality of care, we impose a bound on the mean waiting time as well as a minimum workload requirement at each open facility. Subject to a total capacity limit, the number of open facilities as well as the location and the capacity (number of servers) of each open facility is the main determinant of the configuration of a facility network. Both models are formulated as a mixed-integer program. To solve the problems efficiently, we propose a probabilistic search algorithm and a genetic algorithm. Finally, we use the models to analyze the network of mammography centers in Montreal.

OR Spectrum, 2011

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