Bi-objective customer segmentation using data mining technique (A case study in Sima-choob)

Document Type : Research Paper

Authors

1 Assistant Prof., Faculty of industrial engineering, Bu-Ali Sina University, Hamedan, Iran

2 MSc in industrial engineering, Faculty of industrial engineering, Bu-Ali Sina University, Hamedan, Iran

Abstract

In today's competitive markets, with orientation companies towards customer satisfaction, customer relationship management (CRM) is more complicated. The main question is how to identify profitable and key customers of company. Companies can segmenting their customers into different groups based on the specific criteria by identify and analyzing the characteristics of their behavior. These provide the optimal allocation of limited resources, implementation marketing strategies and management of profitably of customers alongside CRM. The aim of this study is to customers segmentation of Sima-choob company with bi-objective, i.e., maximize customer’s value and customer’s profitably. Therefore, after the identification and preparation of the data for problem using data mining techniques, two solving algorithm namely NSGAII and NRGA are proposed.

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References

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