Profitability Analysis in Distribution: A Neural Network Approach
نویسنده
چکیده
The purpose of this paper is to investigate whether neural networks and, especially the Kohonen’s self-organizing map network, can be used in profitability analysis in distribution. We focus on the physical distribution part of the supply chain and build a neural network model a profitability map using shipment data from a large company. We show how the profitability map can be used in an efficient way for profitability analysis.
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