Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/12239
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dc.contributor.authorVidyarthi, Navneet-
dc.date.accessioned2014-08-05T10:35:48Z-
dc.date.available2014-08-05T10:35:48Z-
dc.date.issued2014-07-
dc.identifier.urihttp://hdl.handle.net/11718/12239-
dc.descriptionThe R & P seminar held at Wing 11 IIM Ahmedabad on July 24, 2014 by Prof. Navneet Vidyarthi, Assistant Professor at the John Molson School of Business at Concordia Universityen_US
dc.description.abstractPreventive healthcare (PH) programs and services aim at reducing the likelihood and severity of potentially life-threatening illness by early detection and prevention. The effectiveness of these programs depends on the participation level and the accessibility of the users to the facilities providing the services. Factors that impact the accessibility include the number, type, and location of the facilities as well as the assignment of the clients to these facilities. In this talk, we report on the impact of system-optimal (i.e., directed) choice on the design of the preventive healthcare facility network under congestion. We present a model that simultaneously determines the location and the size of the facilities as well as the allocation of clients to these facilities so as to minimize the weighted sum of the total travel time and the congestion associated with waiting and service delay at the facilities. The problem is set up as a network of spatially distributed M/G/1 queues and formulated as a nonlinear mixed integer program. Using simple transformation of the nonlinear objective function and piecewise linear approximation, we reformulated as a linear model that is tractable using an exact (ε-optimal) approach. We analyze the tradeoff between travel time and queuing time and its impact on the location and capacity of the facilities as well as the allocation of clients to these facilities under a directed choice policy. We present a case study that deals with locating mammography clinics in Montreal, Canada. The results show that incorporating congestion in the PH facility network design substantially reduces the total time spent by clients. The proposed model allows policy makers to direct clients to facilities in an equitable manner resulting in better accessibility. Joint work with Onur Kuzgunkaya, Faculty of Engineering, Concordia University, Montreal, Canadaen_US
dc.language.isoenen_US
dc.subjectHealthcare Facilityen_US
dc.subjectPreventive Healthcareen_US
dc.titleThe Impact of Directed Choice on the Design of Preventive Healthcare Facility Network under Congestionen_US
dc.typeVideoen_US
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24_07_2014.mp4The Impact of Directed Choice on the Design of Preventive Healthcare Facility Network under Congestion191.72 MBMP4 VideoView/Open


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