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An Improved Algorithm for the Multi-commodity Location Problem
Authors:Alan W. Neebe  Basheer M. Khumawala
Affiliation:1.School of Business Administration and Curriculum in Operations Research and Systems Analysis, The University of North Carolina at Chapel Hill; and College of Business Aministration, University of Houston,
Abstract:Distribution systems designs commonly require the optimal location decisions of regional ware-houses or distribution centers which function as intermediate facilities between plants and customers. This paper deals with such a location problem in which the facilities can handle one of several commodities. We term this problem the multi-commodity facility location problem. A branch and bound algorithm is proposed for solving this problem. Improved bounds are developed for increasing the efficiency of the algorithm. Computational results are provided.
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