Paper

Proposing a Framework for Performance Improvementin a Bi-Direction Multi-Layer and Multi-Product Supply Chain Using Data Mining


Authors:
Hamed Fazlollahtabar; Behnam Pazhoohi; Hassan Mehrmanesh
Abstract
This paper concerns with clustering elements in a multi-layer and multi-product supply chain aiming purification of interactions using data mining. The flow of information in the supply chain is bi-direction, i.e., forward flow from supplier to customer and a backward one from customers. The goal is to improve the performance of the supply chain and preventing the bottlenecks. Thus, a data mining technique is applied for clustering elements configure the proposed supply chain using operational specifications related to each layer of the supply chain. The applicability of the proposed model is shown in a case study.
Keywords
Multi-Layer; Multi-Product; Supply Chain; Clustering; Performance Improvement
StartPage
22
EndPage
31
Doi
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