Supplier Selection Using Combinative Distance-Based Assessment (CODAS) Method for Multi-Criteria Decision-Making

Abstract

The Multi-Criteria Decision Making (MCDM) problems have received considerable attention from various researchers over the past decades. Great variety of methods and approaches have been developed within this field. The aim of this paper is to use a new Combinative Distance-based Assessment (CODAS) method to handle MCDM problems for a steelmaking company in Libya. The concept of this method is based on computing the Euclidean distance and the Taxicab distance to determine the desirability of an alternative. The Euclidean distance is used as the primary measure, and the Taxicab distance as the secondary measure. The developed method is applied with a real world case study for ranking the suppliers in the Libyan Iron and Steel Company (LISCO). The results showed that the proposed method was effectively able to select the best supplier among the six alternative suppliers.