Industrial application of a new classification procedure based on mathematical programming

The aim of this paper is to present an industrial application of a new procedure for classification. The problem is solved by minimizing the distance between the components and the centers of the clusters. It is therefore critical to determine the best centers of the clusters. Once the centers of each class are determined, the rule of center neighbourhood is applied to assign an element to a class. The problem of clustering has several applications in various contexts, such as the problems of data mining, bioinformatics and finance. The implementation of the method was applied in the operational process of the Packing Techniques in Cardboard Mayr-Melnhof Packaging firm.