Probabilistic Maximal Covering Location - Allocation Models with Constrained Waiting Time or Queue Length for Congested Systems

Universitat Pompeu Fabra Working Paper No. 177

Posted: 7 May 1997

See all articles by Vladimir Marianov

Vladimir Marianov

Pontificia Universidad Catolica de Chile

Daniel Serra

Universitat Pompeu Fabra - Faculty of Economic and Business Sciences

Date Written: September 1996

Abstract

When dealing with the design of service networks, such as health and EMS services, banking or distributed ticket selling services, the location of service centers has a strong influence on the congestion at each of them, and consequently, on the quality of service. In this paper, several models are presented to consider service congestion. The first model addresses the issue of the location of the least number of single--server centers such that all the population is served within a standard distance, and nobody stands in line for a time longer than a given time--limit, or with more than a predetermined number of other clients. We then formulate several maximal coverage models, with one or more servers per service center. A new heuristic is developed to solve the models and tested in a 30--nodes network.

JEL Classification: C61, R12, R53

Suggested Citation

Marianov, Vladimir and Serra, Daniel, Probabilistic Maximal Covering Location - Allocation Models with Constrained Waiting Time or Queue Length for Congested Systems (September 1996). Universitat Pompeu Fabra Working Paper No. 177, Available at SSRN: https://ssrn.com/abstract=8597

Vladimir Marianov

Pontificia Universidad Catolica de Chile ( email )

Av. Vicuna Mackenna 4860
Department of Electrical Engineering
Santiago
Chile
(562) 354 4974 (Phone)
(562) 552 2563 (Fax)

Daniel Serra (Contact Author)

Universitat Pompeu Fabra - Faculty of Economic and Business Sciences ( email )

Ramon Trias Fargas 25-27
Barcelona, 08005
Spain
(34) 93 542 16 66 (Phone)
(34) 93 542 17 46 (Fax)

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