Public Facilities Location Under Stochastic Demand
- 1 October 1974
- journal article
- research article
- Published by Taylor & Francis in INFOR: Information Systems and Operational Research
- Vol. 12 (3) , 261-270
- https://doi.org/10.1080/03155986.1974.11731580
Abstract
This paper extends the current state of public facilities location problems on a road network to cover situations in which the number of users at each node may be a random variable. The basic location model is reformulated as a chance-constrained programming problem with fractile criterion. A computational procedure for solving the non-linear deterministic equivaent problem derived is presented. Finally, a hypothetical numerical example i1lustrates the pos-sibility of changes in the location decision when the stochastic nature of the problem is taken into account.Keywords
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