ABSTRACT
This chapter presents clustering of elements in a multi-layer and multi-product bi-direction supply chain for purification of interactions using data mining. The objective is to improve the performance of the supply chain and prevent the bottlenecks using some operational specifications related to each layer of the proposed supply chain. A developed version of k-mean clustering technique is illustrated.
