R-RAM: A Novel Hybrid Model for Option Ranking
Abstract
Ranking alternatives considering multiple criteria is a complex task, requiring the selection of both a weight calculation method and a ranking method. This study proposes a hybrid method, R-RAM, combining the strengths of the R and RAM methods. R-RAM calculates criteria weights considering both subjective and objective factors and then ranks alternatives using the RAM method. The performance of R-RAM was evaluated in four case studies: ranking metal cutting experiments, electric bicycles, automotive protective materials, and 3D printers. Results showed that R-RAM consistently performed comparably to existing MCDM methods and outperformed the R method. The average Spearman correlation coefficients between R-RAM and other methods were significantly higher in all cases (0.8833, 0.9167, 1, and 0.9429), compared to those of R (0.6214, 0.8839, 0.7, and 0.7714). Sensitivity analysis demonstrated the stability of rankings produced by R-RAM under various weight scenarios. Using R-RAM eliminates the need for users to spend time and effort thinking about which weighting method or solution ranking method to choose, as R-RAM operates by using R to calculate weights for criteria and RAM to rank the alternatives. The introduction of RRAM is a noteworthy contribution to the field of option ranking.
References
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Hernández-González, W. Luis,Curra-Sosa, A. Dagnier A,R. Pérez-Rodríguez, and P. D. C.Zambrano-Robledo, “Modeling Cutting Forces in High-Speed Turning using Artificial Neural Networks,”TecnoLógicas, vol. 24, no. 51, 2021. doi:10.22430/22565337.1671
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S.Zha, Y.Guo, S.Huang, and S.Wang, “A Hybrid MCDM Method Using Combination Weight for the Selection of Facility Layout in the Manufacturing System: A Case Study,”Mathematical Problems in Engineering, vol. 2020, no.1320173, 2020. doi:10.1155/2020/1320173
A.E. Youssef, and K.Saleem, “A Hybrid MCDM Approach for Evaluating Web-Based E-Learning Platforms,”IEEE Access, vol. 11, 2023. doi:10.1109/ACCESS.2023.3294798
H.Cui,S.Dong,J.Hu,M.Chen,B.Hou,J.Zhang,B.Zhang,J.Xian,and F.Chen, “A hybrid MCDMmodel with Monte Carlo simulation to improve decision-making stability and reliability,”Information Sciences, vol. 647,no. 119439,2023. doi:10.1016/j.ins.2023.119439
E. Ayyildiz, M. Murat, and G. Imamoglu, “A novel hybrid MCDM approach to evaluate universities based on student perspective,”Scientometrics, vol.128, pp. 55–86, 2023. doi: 10.1007/s11192-022-04534-z
R.Chaurasiya, and D.Jain, “Hybrid MCDM method on pythagorean fuzzy set and its application,”Decision Making: Applications in Management and Engineering, vol. 6, no.1, pp. 379-398, 2023. doi:10.31181/dmame0306102022c
T. V. Dua, D. V. Duc, N. C. Bao, and D. D. Trung, D. D,“Integration of objective weighting methods for criteria and MCDM methods: application in material selection,”EUREKA: Physics and Engineering, vol. 2024, no. 2, pp. 131–148, 2024. doi: 10.21303/2461-4262.2024.003171
B.Kizielewicz, and W.Sałabun, “SITW method: a new approach to re-identifying multi-criteria weightsin complex decision analysis,”Spectrum of Mechanical Engineering and Operational Research,vol.1, no.1, pp.215-226,2024. doi:10.31181/smeor11202419
R.V.Rao, and J.Lakshmi, “R-method: A simpleranking method for multi-attribute decision-making in the industrial environment,”Journal of Project Management, vol.6, pp.223–230, 2021. doi: 10.5267/j.jpm.2021.5.001
D. D. Trung, D. H. Tien, and N. H. Son, “Decısıon makıng for car selectıon ın Vıetnam,”EUREKA: Physics and Engineering, vol. 2022, no. 6, pp. 139–150,2022. doi:10.21303/2461-4262.2022.002505
D.D.Trung, “Comparison Rand CURLI methods for multi-criteria decision making,”Advanced Engineering Letters, vol.1,no.2, pp.46-56,2022. doi:10.46793/adeletters.2022.1.2.3
S.Chatterjee, and S.Chakraborty, “Application of the R method in solving material handling equipmentselection problems,”Decision Making: Applications in Management and Engineering, vol. 6, no.2, pp. 74-94, 2023. doi: 10.31181/dmame622023391
A.Sotoudeh-Anvari, “Root Assessment Method (RAM): A novel multi-criteria decision making method and its applications in sustainability challenges,”Journal of Cleaner Production,vol. 423, no.138695, 2023. doi: 10.1016/j.jclepro.2023.138695
D. D. Trung, B. Dudić, N.-T. Nguyen, and A. Ašonja, “Data Normalization for Root Assessment Methodology,”International Journal of Industrial Engineering and Management,vol. 15, no. 2, pp. 156–168, 2024. doi: 10.24867/IJIEM-2024-2-354
D.D.Trung, “Using RAM method for optimal selection of flame retardant nanocomposite material fabrication solution,”EPJ Applied Metamaterials, vol.11, no. 4, 2024. doi:10.1051/epjam/2024005
D.D.Trung, D.V.Duc, N.C. Bao, and D.T.T.Thuy, “Using the root assessment method to choose the optimal solution for mushroom cultivation,”Yugoslav Journal of Operations Research, 2024. doi:10.2298/YJOR240115007T
D.T.Do, “Assessing the Impact of Criterion Weights on the Ranking of the Top Ten Universities in Vietnam,”Engineering, Technology & Applied Science Research, vol. 14, no. 4, pp.14899-14903, 2024. doi: 10.48084/etasr.7607
D.D.Trung, B.Dudić, H.T.Dung, and N.X.Truong, “Innovation in financial health assessment: applying MCDM techniques to banks in VIETNAM,”ECONOMICS -Innovative and EconomicsResearch Journal, vol.12, no. 2, 2024, doi: 10.2478/eoik-2024-0011
Y.Ali, B.Mehmood, M.Huzaifa, U.Yasir, and A.U.Khan, “Development of a new hybrid multi criteria decision-making method for a car selection scenario,”FACTA Universitatis, Series:Mechanical Engineering,vol.18, no.3, pp.357-373, 2020. doi:10.22190/FUME200305031A
T.N.U.Vo, “Integrating FUCA, SRP, and OPARA Methodsto Assess Faculty's Scientific Research Capacity,”Engineering, Technology & Applied Science Research, vol. 14, no. 6, pp.17870-17875,2024. doi:10.48084/etasr.8659
I. Ajripour, “Applying a hybrid MCDM technique in warehouse management,”Studies and articles, vol.11, pp. 55-68, 2022. doi:10.14267/ VEZTUD.2022.11.05
A.S. Eisa, and M. Fattouh, “Hybrid MCDM Model of ARAS -TOPSIS -GRA for Materials Selection Problem,”Journal of Engineering Research, vol. 7, no. 2, 2023. doi:10.21608/ERJENG.2023.200188.1164
A.Gol, I.Shahsavani, F.Fazli, A. –M.Golmohammadi, and R.Tavakkoli-Moghaddam, “A Comprehensive Approach to Evaluating the Effective Factors in Implementing a Circular Supply Chain by A Hybrid MCDM Method,”International Journal of Supply and Operations Management, vol. 10, no. 4, pp. 545-563, 2023. doi:10.22034/IJSOM.2023.109683.2578
M.Krstic, S.Tadic, M.Kovac, V.Roso, and S.Zecevic, “A Novel Hybrid MCDM Model for the Evaluation of Sustainable Last Mile Solutions,”Mathematical Problems in Engineering, vol. 2021, no. 5969788, 2021. doi:10.1155/2021/5969788
A. A. Makki, and R. M. S. Abdulaal, “A Hybrid MCDM Approach Based on Fuzzy MEREC-G and Fuzzy RATMI,”Mathematics,vol. 11, no. 3773,2023. doi:10.3390/math11173773
G.Ozkaya, and C.Erdin, “Evaluation of smart and sustainable cities through a hybrid MCDM approach based on ANP and TOPSIS technique,”Heliyon, vol. 6, no. e05052, 2020. doi: 10.1016/j.heliyon.2020.e05052
A.Biswas, K.H.Gazi, S.P. Mondal, and A.Ghosh, “A Decision-Making Framework for Sustainable Highway Restaurant Site Selecton: AHP-TOPSIS Approach based on the Fuzzy Numbers,”Spectrum of operatonal research, vol. 2, no.1, pp.1-26,2025. doi:10.31181/sor2120256
S.Biswas, B.Biswas, and K.Mitra, “A Novel Group Decision Making Model to Compare Online Shopping Platforms,”Spectrum of decision making and applications,vol.2, no.1, pp.1-27,2025. doi:10.31181/sdmap2120259
S.Kousar, A.Ansar, N.Kausar, and G.Freen, “Multi-Criteria Decision-Making for Smog Mitgaton: A Comprehensive Analysis of Health, Economic, andEcological Impacts,”Spectrum of decision making and applicatons,vol.2, no.1, pp.53-67, 2025. doi: 10.31181/sdmap2120258
C. –H.Chen, “A Hybrid Multi-Criteria Decision-Making Approach Based on ANP-Entropy TOPSIS for Building Materials Supplier Selection,”Entropy, vol. 23, no. 1597,2021. doi:10.3390/e23121597
R.N.Wardany, and Zahedi, “A study comparative of PSI, PSI-TOPSIS, andPSI-MABAC methods in analyzing the financial performance of state-owned enterprisescompanies listed on the Indonesia stock exchange,”Yugoslav Journal of Operations Research, 2024. doi:10.2298/YJOR240115017W
S.T.Mhlanga, and M.Lall, “Influence of Normalization Techniques on Multi-criteria Decision-making Methods,”Journal of Physics: Conference Series, vol. 2224, 2021.doi: 6596/2224/1/012076
N.Vafaei, “Data Normalization in Decision Making Processes,”Thesis of MSc in Defense Technologies, Universidade Nova de Lisboa, 2020.
D.D.Trung, “A combination method for multi-criteria decision making problem in turning process,”Manufacturing review,vol. 8, no. 26,2021. doi:10.1051/mfreview/2021024
V. –H.Nguyen,T. –T.Le,A. –T.Nguyen,X. –T.Hoang,N. –T.Nguyen,and N. –K.Nguyen, “Optimization of milling conditionsfor AISI 4140 steel using an integrated machine learning-multi objective optimization-multi criteria decision making framework,”Measurement, vol.242, no.115837,2025. doi:10.1016/j.measurement.2024.115837
Hernández-González, W. Luis,Curra-Sosa, A. Dagnier A,R. Pérez-Rodríguez, and P. D. C.Zambrano-Robledo, “Modeling Cutting Forces in High-Speed Turning using Artificial Neural Networks,”TecnoLógicas, vol. 24, no. 51, 2021. doi:10.22430/22565337.1671
N.V.Thien, and N.H.Son, “Material Selection for PMEDM Process,”International Journal of Mechanical Engineering and Robotics Research, vol. 13, no. 3, pp.315-324,2024. doi:10.18178/ijmerr.13.3.315-324
T.V.Huy, N.Q.Quyet, V.H.Binh, T.M.Hoang, N.T.T.Tien, L.T.Anh, D.T.Nga, N.Q.Doan, P.H. Tu, and D.D.Trung, “Multi-criteria decision-making for electric bicycle selection,”Advanced Engineering Letters, vol.1, no.4, pp. 126-135,2022. doi:10.46793/adeletters.2022.1.4.2
T.V.Dua, “Application of the collaborative unbiased rank list integration method to select the materials,”Applied Engineering Letters, vol.7, no.4, pp. 133-142, 2022. doi:10.18485/aeletters.2022.7.4.1
N.T.P.Giang, and V.Q.Oai, “Application of preference selection index (PSI) method for selecting a 3D printer,”Journal of Science & Technology, vol. 58, no. 6A, pp.47-50,2022. doi:10.57001/huih5804.67
L. J. Muhammad, I. Badi, A. A. Haruna, and I. A. Mohammed, “Selecting the best municipal solid waste management techniques in nigeria using multi criteria decision making techniques,” Rubber Injection Molding Machines, vol 2, pp. 180-189, 2021. doi:10.31181/rme2001021801b
D. Bozanic, A. Milic, D. Tesic, W. Sałabun, and D. Pamucar, “D numbers –fucom –fuzzy rafsi model for selecting the group of construction machines for enabling mobility,” Facta Univ Ser: Mech Eng, vol. 19, no. 3, pp. 447-471, 2021. doi:10.22190/FUME210318047B
M. Radovanović, A. Petrovski, E. Cirkin, A. Behlić, Jokić, Željko, D. Chemezov, E. G. Hashimov, M. B.Bouraima, and C. Jana, “Application of the new hybrid model LMAW-G-EDAS multi-criteria decision-making when choosing an assault rifle for the needs of the army,”Journal of Decision Analytics and Intelligent Computing, vol. 4, no. 1, pp. 16–31, 2024.doi:10.31181/jdaic10021012024r
M.Keshavarz-Ghorabaee, A.Rastegar, M.Amiri, E.K.Zavadskas, and J. Antucheviciene, “Multi-Criteria Personnel Evaluation and Selection Using an Objective Pairwise Adjusted Ratio Analysis (OPARA),”Economic Computation and Economic Cybernetics Studies and Research, vol. 58, no. 2, pp. 23-45, 2024. doi:10.24818/18423264/58.2.24.02
Published
2025-02-07
How to Cite
TRUNG, Do Duc et al.
R-RAM: A Novel Hybrid Model for Option Ranking.
Yugoslav Journal of Operations Research, [S.l.], feb. 2025.
ISSN 2334-6043.
Available at: <https://yujor.fon.bg.ac.rs/index.php/yujor/article/view/1322>. Date accessed: 11 feb. 2025.
doi: https://doi.org/10.2298/YJOR240615009T.
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Research Articles
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