s.a torabi - School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
I shokr - School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

Material selection is one of the major challenges in manufacturing systems. The improper selection may lead to failure in the production processes and result in customer dissatisfaction and costinefficiency. Every material has different properties which should be considered as major criteriaduring the material selection. Selection criteria could be quantitative or qualitative. Quantifying the performance of qualitative criteria is an inevitable issue in the multi criteria decision making (MCDM)problems. In this paper, a common weight data envelopment analysis (CWDEA) model is applied forthe material selection problem which accounts for both quantitative and qualitative criteria in an effective manner. Through a numerical example borrowed from the literature, it is shown that CWDEA is not able to produce a full ranking vector in this case. Accordingly, the problem is solved under different normalization methods and the resulting ranking vectors are then aggregated by the linear assignment method to generate a final full ranking vector

Material Selection , Manufacturing Systems , Data Envelopment Analysis (DEA) , Multi-criteria Decision Making (MCDM)