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Received: 21 October 2018 Accepted: 3 January 2019 In today's competitive world, it is very important for organizations to select suppliers according to price, quality, satisfactory service and timely delivery. Since a considerable portion of production costs is associated with purchasing raw materials from suppliers, selection of the right suppliers and allocation of optimal order quantities plays an important role in the success of an organization. So far, extensive research has been conducted in the context of supplier selection, and multi-criteria decision-making techniques are the common approach used to select the appropriate option. Recently, some studies in the context of supplier selection considered variable assumptions like quantity discount possibility. So, the aim of this study is modeling the supplier selection problem based on incremental and wholesale discounts and comparing the results of them like best selected supplier(s) and optimal order allocation to them. And solve a big problem with GA and NSGA algorithms and comparing with each other’s for this an integrated three-stage approach has been proposed by combining fuzzy AHP and Extended Analysis Method for the supplier selection problem and develop a GA&NSGA algorithms. Finally, the performance of the proposed approach and proposed algorithms has been appraised by numerical examples.

journal européen des systèmes automatisés/journal européen des systèmes automaitsés

Supplier Selection and Order Allocation Problem Modeling with the Aim of Comparing Incremental Discounts Versus Wholesale Discounts by Using GA and NSGA Algorithms