An approach to supplier selectionin in the dynamic environment

Purchasing is one of the most important supply chain processes which its improvement affects on the whole supply chain's performance. The most critical stage of this process is the best supplier selection, while considering probable changes in candidates' specifications during time and the costs and computational time of selection. In this paper, we propose a context aware system via data clustering algorithms for dynamic selection. Our proposed model only considers the unsteady clusters instead of all clusters, runs the selection algorithm on the best set of suppliers from the previous decision period and reduces the time of selection process while achieving an acceptable purchasing cost. We design an e-shopping website for Internet-based trading citrus product. While suppliers introduce themselves in some properties and show their changed specifications through this website, customers can also order their needs by features determination. Implementing this system which provides direct communication between supplier and consumer, will save time and cost, and provide profitability for the entire supply chain.