Location and design decisions of facilities in a distribution system with elastic customer demand |
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Authors: | Xue-feng Wang |
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Institution: | (3) Stanford University, Stanford, USA; |
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Abstract: | This paper describes a bi-level programming model that seeks to simultaneously optimize location and design decisions of facilities
in a distribution system in order to realize company’s maximal total profit subject to the constraints on the facility capacity
and the investment budget. In the upper-level problem, two-echelon integrated competitive/uncompetitive capacitated facility
location model, which involves facility location and design, is presented. In the lower-level problem, customer is assumed
to patronize store based on facility utility which is expressed by service time cost in the store and its travel cost to customer.
Customer’s facility choice behavior is presented by a stochastic user equilibrium assignment model with elastic demand. Since
such a distribution system design problem belongs to a class of NP-hard problem, a genetic algorithm (GA)-based heuristic
procedure is presented. Finally, a numerical example is used to illustrate the application of the proposed model and some
parameter sensitivity analyses are presented. |
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Keywords: | facility location facility design distribution system bi-level programming |
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