Tribology and Materials | Volume 5 | Issue 3 | 2026 | 134-149
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https://doi.org/10.46793/tribomat.2026.014
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Comparative analysis of the simple additive weighting method and the deviation-based pairwise assessment ratio technique for material selection
Duc Trung Do
1,
Mehmet Özçalici2,
Van Dua Tran1,
Xuan Thinh Hoang1,
Chi Bao Nguyen1,
Nazlı Ersoy
3
1 Hanoi University of Industry, Hanoi, Vietnam
2 Kilis 7 Aralık University, Kilis, Turkey
3 Osmaniye Korkut Ata University, Osmaniye, Turkey
Abstract: Multi-criteria decision-making (MCDM) techniques are widely used to rank alternatives defined by multiple criteria. However, due to fundamental algorithmic differences, they often yield different results for the same problem. This study presents a comparative analysis of two MCDM approaches with distinct historical backgrounds: the simple additive weighting (SAW) method and the deviation-based pairwise assessment ratio technique (DEPART) method, a novel and recently introduced approach. The comparison assesses their effectiveness in material ranking within mechanical engineering. Two primary criteria guided this evaluation: the stability of alternative scores derived from each method and the degree of correlation between the rankings generated by SAW and DEPART relative to other well-established MCDM methods. Comprehensive sensitivity analyses show that the DEPART method outperforms the SAW method. The analysis was performed on two cases of material selection used for the production of gearbox housing and connecting rod, based on data from the literature. The comparison was conducted using two key performance metrics: the ranking similarity coefficient (r) and the stability coefficient (S), demonstrating DEPART's overall superior effectiveness.
Keywords: MCDM, SAW, DEPART, material selection, mechanical engineering.
Received: 03-08-2025, Revised: 27-11-2025, Accepted: 21-01-2026
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license, which allows users to distribute, remix, adapt,
and build upon the material in any medium or format for non-commercial purposes only, and only so long as attribution is given to the creator.
2 Kilis 7 Aralık University, Kilis, Turkey
3 Osmaniye Korkut Ata University, Osmaniye, Turkey
Abstract: Multi-criteria decision-making (MCDM) techniques are widely used to rank alternatives defined by multiple criteria. However, due to fundamental algorithmic differences, they often yield different results for the same problem. This study presents a comparative analysis of two MCDM approaches with distinct historical backgrounds: the simple additive weighting (SAW) method and the deviation-based pairwise assessment ratio technique (DEPART) method, a novel and recently introduced approach. The comparison assesses their effectiveness in material ranking within mechanical engineering. Two primary criteria guided this evaluation: the stability of alternative scores derived from each method and the degree of correlation between the rankings generated by SAW and DEPART relative to other well-established MCDM methods. Comprehensive sensitivity analyses show that the DEPART method outperforms the SAW method. The analysis was performed on two cases of material selection used for the production of gearbox housing and connecting rod, based on data from the literature. The comparison was conducted using two key performance metrics: the ranking similarity coefficient (r) and the stability coefficient (S), demonstrating DEPART's overall superior effectiveness.
Keywords: MCDM, SAW, DEPART, material selection, mechanical engineering.
Received: 03-08-2025, Revised: 27-11-2025, Accepted: 21-01-2026
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license, which allows users to distribute, remix, adapt, and build upon the material in any medium or format for non-commercial purposes only, and only so long as attribution is given to the creator.