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A location model with queueing constraints

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Abstract

Many models used for locating service facilities assume that customer demand is deterministic and that service facilities are always available. Stochastic demands for service may cause queueing if the server is not available. We consider a model which combines the spatial aspects of locating service faculties with the service delays caused by stochastic customer demands. The resulting 0–1 integer linear program may be solved by existing algorithms. An example is presented to illustrate the effect of the queueing considerations.

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Cited by (4)

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P. M. Dearing received his Ph.D. from the University of Florida (1972) in the field of Operations Research. His research interests include problems of facility location and design and the development of solution methodologies for these problems. He is an Associate Professor of Mathematical Sciences at Clemson University, teaching courses in Operations Research and related topics.

James P. Jarvis received his Ph.D. from the Massachusetts Institute of Technology (1975) in the field of Operations Research. His research interests include quantitative analyses of the response capabilities of emergency services such as fire, police and ambulance systems. He is an Assistant Professor of Mathematical Sciences at Clemson University, teaching courses in Operations Research and applied stochastic processes.

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