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Title : Clustering Based Model For Facility Location In Logistic Network Using K-Means

Authors : Shaju Varghese, Gladston Raj S     Volume 1 Issue 1    Pages: 26 - 32

ABSTRACT - The optimum location for facilities is one of the major challenges in logistics network. These locations are scattered in various places in urban area, places in highways, populated areas in order to speedup package deliveries and minimize the overall transport cost and time. Identifying and deciding the optimum locations and the minimum number of distribution centers (DCs) are the major goals in the design of any type of logistics network. The number of DCs will basically depend upon various types of attributes related to the network. The optimum locations of DCs will reduce the overall transport cost. As operations globalize, location decisions become more complex. This is a soft computing based model for facility location in logistics network design. In this work we propose a k-means clustering model for facility location in logistics.

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