Designing a model of decision making in layers of supply, manufacturing, and distribution of the supply chain: A recommender-based system

Abstract

The aim of this paper is to implement a recommender system based on collaborative filtering in the supply chain to offer a combination of the best suppliers, producers and distributors which have the minimum cost and the maximum customer satisfaction. Up to now, the investigations to determine recommender systems suitable for the order fulfillment procedure in the supply chain are very small and inadequate. The proposed method assumes that components' conditions in all layers and scores recorded after each order exist in the recommender system. Thus, by using a method such as correlation coefficients, the similarity ratio between the request of current customer and that of other customers is calculated, and then the offer proposed to the most similar customer, will be offered to current customers.