A Decision Support System for Supplier Selection in the Spare Parts Industry

Abstract

Nowadays, maximizing production by reducing the risks in the supply chain and increasing the quality of the final product by choosing the best suppliers is one of the biggest problems faced by companies. Since both quantitative and qualitative criteria are involved in the selection of a supplier, it increases the complexity of decision problems. Decision support systems have been developed to assist in solving these problems. This paper is about creating an Analytical Hierarchy Process-based decision support system to facilitate supplier selection and find the best supplier within the specified criteria.