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APPLICATION OF THE COLLABORATIVE UNBIASED RANK LIST INTEGRATION METHOD TO SELECT THE MATERIALS
Authors:
Tran Van Dua1
1Faculty of Mechanical Engineering, Hanoi University of Industry, Hanoi City, 100000, Vietnam
Received: 09.09.2022.
Accepted: 17.11.2022.
Available: 31.12.2022.
Abstract:
For a machining processes, the material selection that is very important, greatly affect both on the economic and technical efficiency of these processes. The selection of each material often was considered many criteria, which have different values in different materials. Multi-criteria decision making that is a technique is used to slove with situations of this type. The collaborative unbiased rank list integration that is a recently proposed multi-criteria decision making method and has only used in a handful of published studies. In this study, this method was used to select the materials for the industrial fields. Material selection in three different areas was performed. In each case, the ranking results of the solutions by the collaborative unbiased rank list integration method were compared with those ones of other methods. The results showed that this method is completely reliable when using for material selection with the considering of multiple criteria. Moreover, the strength of this method is that it does not occur any ranking reversion phenomenon even when considered in different scenarios.
Keywords:
MCDM, CURLI method, Material selection, Normalization data, Weight
References:
[1] V.M. Athawale, R. Kumar, S. Chakraborty, Decision making for material selection using the UTA method. The International Journal of Advanced Manufacturing Technology, 57, 2011: 11-22. https://doi.org/10.1007/s00170-011-3293-7
[2] I. Emovon, O.S. Oghenenyerovwho, Application of MCDM method in material selection for optimal design: A review. Results in Materials, 7, 2020: 1-21. https://doi.org/10.1016/j.rinma.2020.100115
[3] H. Zhang, Y. Peng, G. Tian, D. Wang, P. Xie, Green material selection for sustainability: A hybrid MCDM approach. Plos one, 12(5), 2017: 1-26. https://doi.org/10.1371/journal.pone.0177578
[4] K. Mathiyazhagan, A. Gnanavelbabu, B. Lokesh Prabhuraj. A sustainable assessment model for material selection in construction industries perspective using hybrid MCDM approaches. Journal of Advances in Management Research, 16(2), 2018: 1-27. https://doi.org/10.1108/JAMR-09-2018-0085
[5] R. Kumar, Jagadish, A. Ray, Selection of Material for Optimal Design using Multi-Criteria Decision Making. Procedia Materials Science, 6, 2014: 590-596. https://doi.org/10.1016/j.mspro.2014.07.073
[6] S. Chakraborty, P. Chatterjee, Selection of materials using multi-criteria decision-making methods with minimum data. Decision Science Letters, 2, 2013: 135-148. https://doi.org/10.5267/j.dsl.2013.03.005
[7] L. Anojkumar, M. Ilangkumaran, V. Sasirekha, Comparative analysis of MCDM methods for pipe material selection in sugar industry. Expert Systems with Applications, 41, 2014: 2964-2980. http://dx.doi.org/10.1016/j.eswa.2013.10.028
[8] M.A. Ilgin, S.M. Gupta, O. Battaia, Use of MCDM techniques in environmentally conscious manufacturing and product recovery: State of the art. Journal of Manufacturing Systems, 37(3), 2015, 746-758.
http://dx.doi.org/10.1016/j.jmsy.2015.04.010
[9] A.A.A. Rahim, S.N. Musa, S. Ramesh, M. K. Lim, A systematic review on material selection methods. Proceedings of the Institution of Mechanical Engineers. Part L: Journal of Materials: Design and Applications, 234(7), 2020: 1-18.
https://doi.org/10.1177/1464420720916765
[10] M. Noryani, S.M. Sapuan, M.T. Mastura, Multi-criteria decision-making tools for material selection of natural fibre composites: A review. Journal of Mechanical Engineering and Sciences, 12(1), 2018: 3330-3353.
https://doi.org/10.15282/jmes.12.1.2018.5.0299
[11] D.D. Trung, Development of data normalization methods for multi-criteria decision making: applying for MARCOS method. Manufacturing review, 9(22), 2022: 1-15. https://doi.org/10.1051/mfreview/2022019
[12] N. Vafaei, R.A. Ribeiro, L.M.C. Matos, Normalization Techniques for Multi-Criteria Decision Making: Analytical Hierarchy Process Case Study. Doctoral Conference on Computing, Electrical and Industrial Systems, Costa de Caparica, Portugal, 2017, 2017: 261-269.
[13] A. Jahan, K.L. Edwards, A state-of-the-art survey on the influence of normalization techniques in ranking: Improving the materials selection process in engineering design. Materials & Design, 65, 2015: 335-342.
[14] J.R. Kiger, D.J. Annibale, A new method for group decision making and its application in medical trainee selection. Medical Education, 50, 2016: 1045-1053. https://doi.org/10.1111/medu.13112
[15] D.D. Trung, N.N. Ba, D.H. Tien, Application of the CURLI method method for multi-critical decision of grinding process. Journal of Applied Engineering Science, 20(3), 2022: 634-643. https://doi.org/10.5937/jaes0-35088
[16] D.D. Trung, Multi-criteria decision making of turning operation based on PEG, PSI and CURLI methods. Manufacturing review, 9(9), 2022: 1-12. https://doi.org/10.1051/mfreview/2022007
[17] D.D. Trung, Comparison R and CURLI methods for multi-criteria decision making. Advanced Engineering Letters, 1(2), 2022: 46-56. https://doi.org/10.46793/adeletters.2022.1.2.3
[18] D. Bozanic, A. Milic, D. Tesic, W. Sałabun, D. Pamucar, D numbers – fucom – fuzzy rafsi model for selecting the group of construction machines for enabling mobility. Facta Universitatis Series Mechanical Engineering, 19(3), 2021: 447-471.
https://doi.org/10.22190/FUME210318047B
[19] L.J. Muhammad, Ibrahim Badi, Ahmed Abba Haruna, I.A. Mohammed, Selecting the Best Municipal Solid Waste Management Techniques in Nigeria Using Multi Criteria Decision Making Techniques. Reports in Mechanical Engineering, 2(1), 2021: 180-189. https://doi.org/10.31181/rme2001021801b
[20] D. Pamucar, D. Bozanic, A. Randelovic, Multi-criteria decision making: An example of sensitivity analysis. Serbian Journal of Management, 12(1), 2017: 1-27. https://doi.org/10.5937/sjm12-9464
[21] L.K. Sa, N.C. Nhung, L.V. Chien, N.A. Tuan, P.V. Tu, Green Material Selection Using an Integrated Fuzzy Multi-criteria Decision Making Model. Asian Journal of Scientific Research, 11, 2018: 195-202. https://doi.org/10.3923/ajsr.2018.195.202
[22] F. Ma, Y. Zhao, Y. Pu, J. Li, A Comprehensive Multi – Criteria Decision Making Model for Sustainable Material Selection Considering Life Cycle Assessment Method. IEEE Access, 6, 2018: 58338-58354.
https://doi.org/10.1109/ACCESS.2018.2875038
[23] A.F. Hussein, B.I. Jameel, K.K. Abd, Comparative analysis of Fuzzy MCDM methods for material selection in biomedical application. Journal of Engineering Sciences, 2, 2018: 137-148.
[24] C. Bhowmik, S. Gangwar, S. Bhowmik, A. Ray, Optimum Selection of Energy-Efficient Material: A MCDM-Based Distance Approach. Soft Computing Applications – Studies in Computational Intelligence, 761, 2018: 59-79.
https://doi.org/10.1007/978-981-10-8049-4_3
[25] S.K. Tiwari, S. Pande, Selection of Gear Materials Using MCDM-TOPSIS Approach. International Journal of Manufacturing and Materials Processing, 3, 2017: 10-15.
[26] K. Yang, N. Zhu, C. Chang, D. Wang, S. Yang, S. Ma, A methodological concept for phase change material selection based on multicriteria decision making (MCDM): A case study. Energy, 165, 2018: 1085-1096.
https://doi.org/10.1016/j.energy.2018.10.022
[27] J. Martinez-Gomez, G. Guerron, R. A. Narvaez, Cookware material selection by multi-criteria decision making (MCDM) methods. International Journal of Engineering Trends and Technology, 34(8), 2016: 394-399.
[28] M.A. Sofuoglu, A new biomaterial selection approach using reference ideal method. Sadhana, 2021, 2021: 46-36.
https://doi.org/10.1007/s12046-021-01559-7
[29] S.A. Torabi, I. Shokr, A Common Weight Data Envelopment Analysis Approach for Material Selection. International Journal of Engineering, IJE TRANSACTIONS C: Aspec, 28(6), 2015: 913-921.
[30] E. Roszkowska, Rank Ordering Criteria Weighting Methods – A Comparative Overview. Journal Dedicated to the Needs of Science and Practice, 5, 2013: 1-168.
[31] C. Zopounidis, M. Doumpos, Multiple Criteria Decision Making – Applications in Management and Engineering. Springer, 2017.
[32] J. Ahmad, J. Xu, M. Nazam, Multi – criteria group decision making for pipe material selection: Comparative analysis of HF-VIKOR and HF-ELECTRE II. International Journal of development research, 5(6), 2015: 4826-4841.
[33] S.K. Anand, S. Mitra, Material Selection for Tool Holder using MCDM Methods. International Journal of Emerging Technologies in Engineering Research, 9(6), 2021: 1-13.
[34] L. Anojkumar, M. Ilangkumaran, M. Vignesh, A decision making methodology for material selection in sugar industry using hybrid MCDM techniques. Internationla journal of Materials and Product Technology, 51(2), 2015: 102-126.
[35] P. Chatterjee, S. Chakraborty, Gear Material Selection using Complex Proportional Assessment and Additive Ratio Assessment-based Approaches: A Comparative Study. International Journal of Materials Science and Engineering, 1(2), 2013: 104-111. https://doi.org/10.12720/ijmse.1.2.104-111
[36] D. Petković, M. Madić, M. Radovanović, P. Janković, Application of Recently Developed MCDM Methods for Materials Selection. Applied Mechanics and Materials, 809-810, 2015: 1468-1473.
https://doi.org/10.4028/www.scientific.net/AMM.809-810.1468
[37] M. Singh, M. Pant, R.D. Godiyal, A.K. Sharma, MCDM approach for selection of raw material in pulp and papermaking industry. Materials and Manufacturing Processes, 35(3), 2020: 241-249. https://doi.org/10.1080/10426914.2020.1711917
[38] S. Ercan, D. Bilal, Material selection on countermeasure flare systems by multi criteria decision making methods. International Journal of Multidisciplinary Studies and Innovative Technologies, 4(1), 2020: 1-9.
[39] D. Rai, G. K. Jha, P. Chatterje, S. Chakrabort, Material Selection in Manufacturing Environment Using Compromise Ranking and Regret Theory-based Compromise Ranking Methods: A Comparative Study. Universal Journal of Materials Science, 1(2), 2013: 69-77. https://doi.org/10.13189/ujms.2013.010210
[40] S.V. Bhaskar, H.N. Kudal, Multi-criteria decision-making approach to material selection in tribological application. International Journal of Operational Research, 31(1), 2019: 92-122. https://doi.org/10.1504/IJOR.2019.10023658
[41] M. Ilangkumaran, A. Avenash, V. Balakrishnan, S.B. Kumar, M.B. Raja, Material selection using hybrid MCDM approach for automobile bumper. International Journal of Industrial and Systems Engineering, 14(1), 2013: 20-39.
https://doi.org/10.1504/IJISE.2013.052919
[42] C. Prasenjit, B. Arnab, M. Supraksh, B. Soumava, C. Shankar, Development of a Hybrid Meta-Model for Material Selection Using Design of Experiments and EDAS Method. Engineering Transactions, 66(2), 2018: 187-207.
[43] A.S. Milani, A. Shanian, R. Madoliat, J.A. Nemes, The effect of normalization norms in multiple attribute decision making models: a case study in gear material selection. Structural and Multidisciplinary Optimization, 29(4), 2005: 312-318. https://doi.org/10.1007/s00158-004-0473-1
[44] P. Chatterjee, S. Chakraborty, Material selection using preferential ranking methods. Materials & Design, 35, 2012: 384-393. https://doi.org/10.1016/j.matdes.2011.09.027
[45] H. Calıskan, Selection of boron based tribological hard coatings using multi-criteria decision making methods. Materials and Design, 50 (2013) 742-749. http://dx.doi.org/10.1016/j.matdes.2013.03.059
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)
Volume 9
Number 3
September 2024
Last Edition
Volume 9
Number 3
September 2024
How to Cite
T.V. Dua, Application of the Collaborative Unbiased Rank List Integration Method to Select the Materials. Applied Engineering Letters, 7(4), 2022: 133–142.
https://doi.org/10.18485/aeletters.2022.7.4.1
More Citation Formats
Dua, T. V. (2022). Application of the Collaborative Unbiased Rank List Integration Method to Select the Materials. Applied Engineering Letters, 7(4), 133–142. https://doi.org/10.18485/aeletters.2022.7.4.1
Dua, Tran Van, “Application of the Collaborative Unbiased Rank List Integration Method to Select the Materials.” Applied Engineering Letters, vol. 7, no. 4, 2022, pp. 133–42, https://doi.org/10.18485/aeletters.2022.7.4.1.
Dua, Tran Van, 2022. “Application of the Collaborative Unbiased Rank List Integration Method to Select the Materials.” Applied Engineering Letters 7 (4): 133–42. https://doi.org/10.18485/aeletters.2022.7.4.1.
Dua, T.V. (2022). Application of the Collaborative Unbiased Rank List Integration Method to Select the Materials. Applied Engineering Letters, 7(4), pp.133–142. doi: 10.18485/aeletters.2022.7.4.1.
APPLICATION OF THE COLLABORATIVE UNBIASED RANK LIST INTEGRATION METHOD TO SELECT THE MATERIALS
Authors:
Tran Van Dua1
1Faculty of Mechanical Engineering, Hanoi University of Industry, Hanoi City, 100000, Vietnam
Received: 09.09.2022.
Accepted: 17.11.2022.
Available: 31.12.2022.
Abstract:
For a machining processes, the material selection that is very important, greatly affect both on the economic and technical efficiency of these processes. The selection of each material often was considered many criteria, which have different values in different materials. Multi-criteria decision making that is a technique is used to slove with situations of this type. The collaborative unbiased rank list integration that is a recently proposed multi-criteria decision making method and has only used in a handful of published studies. In this study, this method was used to select the materials for the industrial fields. Material selection in three different areas was performed. In each case, the ranking results of the solutions by the collaborative unbiased rank list integration method were compared with those ones of other methods. The results showed that this method is completely reliable when using for material selection with the considering of multiple criteria. Moreover, the strength of this method is that it does not occur any ranking reversion phenomenon even when considered in different scenarios.
Keywords:
MCDM, CURLI method, Material selection, Normalization data, Weight
References:
[1] V.M. Athawale, R. Kumar, S. Chakraborty, Decision making for material selection using the UTA method. The International Journal of Advanced Manufacturing Technology, 57, 2011: 11-22. https://doi.org/10.1007/s00170-011-3293-7
[2] I. Emovon, O.S. Oghenenyerovwho, Application of MCDM method in material selection for optimal design: A review. Results in Materials, 7, 2020: 1-21. https://doi.org/10.1016/j.rinma.2020.100115
[3] H. Zhang, Y. Peng, G. Tian, D. Wang, P. Xie, Green material selection for sustainability: A hybrid MCDM approach. Plos one, 12(5), 2017: 1-26. https://doi.org/10.1371/journal.pone.0177578
[4] K. Mathiyazhagan, A. Gnanavelbabu, B. Lokesh Prabhuraj. A sustainable assessment model for material selection in construction industries perspective using hybrid MCDM approaches. Journal of Advances in Management Research, 16(2), 2018: 1-27. https://doi.org/10.1108/JAMR-09-2018-0085
[5] R. Kumar, Jagadish, A. Ray, Selection of Material for Optimal Design using Multi-Criteria Decision Making. Procedia Materials Science, 6, 2014: 590-596. https://doi.org/10.1016/j.mspro.2014.07.073
[6] S. Chakraborty, P. Chatterjee, Selection of materials using multi-criteria decision-making methods with minimum data. Decision Science Letters, 2, 2013: 135-148. https://doi.org/10.5267/j.dsl.2013.03.005
[7] L. Anojkumar, M. Ilangkumaran, V. Sasirekha, Comparative analysis of MCDM methods for pipe material selection in sugar industry. Expert Systems with Applications, 41, 2014: 2964-2980. http://dx.doi.org/10.1016/j.eswa.2013.10.028
[8] M.A. Ilgin, S.M. Gupta, O. Battaia, Use of MCDM techniques in environmentally conscious manufacturing and product recovery: State of the art. Journal of Manufacturing Systems, 37(3), 2015, 746-758.
http://dx.doi.org/10.1016/j.jmsy.2015.04.010
[9] A.A.A. Rahim, S.N. Musa, S. Ramesh, M. K. Lim, A systematic review on material selection methods. Proceedings of the Institution of Mechanical Engineers. Part L: Journal of Materials: Design and Applications, 234(7), 2020: 1-18.
https://doi.org/10.1177/1464420720916765
[10] M. Noryani, S.M. Sapuan, M.T. Mastura, Multi-criteria decision-making tools for material selection of natural fibre composites: A review. Journal of Mechanical Engineering and Sciences, 12(1), 2018: 3330-3353.
https://doi.org/10.15282/jmes.12.1.2018.5.0299
[11] D.D. Trung, Development of data normalization methods for multi-criteria decision making: applying for MARCOS method. Manufacturing review, 9(22), 2022: 1-15. https://doi.org/10.1051/mfreview/2022019
[12] N. Vafaei, R.A. Ribeiro, L.M.C. Matos, Normalization Techniques for Multi-Criteria Decision Making: Analytical Hierarchy Process Case Study. Doctoral Conference on Computing, Electrical and Industrial Systems, Costa de Caparica, Portugal, 2017, 2017: 261-269.
[13] A. Jahan, K.L. Edwards, A state-of-the-art survey on the influence of normalization techniques in ranking: Improving the materials selection process in engineering design. Materials & Design, 65, 2015: 335-342.
[14] J.R. Kiger, D.J. Annibale, A new method for group decision making and its application in medical trainee selection. Medical Education, 50, 2016: 1045-1053. https://doi.org/10.1111/medu.13112
[15] D.D. Trung, N.N. Ba, D.H. Tien, Application of the CURLI method method for multi-critical decision of grinding process. Journal of Applied Engineering Science, 20(3), 2022: 634-643. https://doi.org/10.5937/jaes0-35088
[16] D.D. Trung, Multi-criteria decision making of turning operation based on PEG, PSI and CURLI methods. Manufacturing review, 9(9), 2022: 1-12. https://doi.org/10.1051/mfreview/2022007
[17] D.D. Trung, Comparison R and CURLI methods for multi-criteria decision making. Advanced Engineering Letters, 1(2), 2022: 46-56. https://doi.org/10.46793/adeletters.2022.1.2.3
[18] D. Bozanic, A. Milic, D. Tesic, W. Sałabun, D. Pamucar, D numbers – fucom – fuzzy rafsi model for selecting the group of construction machines for enabling mobility. Facta Universitatis Series Mechanical Engineering, 19(3), 2021: 447-471.
https://doi.org/10.22190/FUME210318047B
[19] L.J. Muhammad, Ibrahim Badi, Ahmed Abba Haruna, I.A. Mohammed, Selecting the Best Municipal Solid Waste Management Techniques in Nigeria Using Multi Criteria Decision Making Techniques. Reports in Mechanical Engineering, 2(1), 2021: 180-189. https://doi.org/10.31181/rme2001021801b
[20] D. Pamucar, D. Bozanic, A. Randelovic, Multi-criteria decision making: An example of sensitivity analysis. Serbian Journal of Management, 12(1), 2017: 1-27. https://doi.org/10.5937/sjm12-9464
[21] L.K. Sa, N.C. Nhung, L.V. Chien, N.A. Tuan, P.V. Tu, Green Material Selection Using an Integrated Fuzzy Multi-criteria Decision Making Model. Asian Journal of Scientific Research, 11, 2018: 195-202. https://doi.org/10.3923/ajsr.2018.195.202
[22] F. Ma, Y. Zhao, Y. Pu, J. Li, A Comprehensive Multi – Criteria Decision Making Model for Sustainable Material Selection Considering Life Cycle Assessment Method. IEEE Access, 6, 2018: 58338-58354.
https://doi.org/10.1109/ACCESS.2018.2875038
[23] A.F. Hussein, B.I. Jameel, K.K. Abd, Comparative analysis of Fuzzy MCDM methods for material selection in biomedical application. Journal of Engineering Sciences, 2, 2018: 137-148.
[24] C. Bhowmik, S. Gangwar, S. Bhowmik, A. Ray, Optimum Selection of Energy-Efficient Material: A MCDM-Based Distance Approach. Soft Computing Applications – Studies in Computational Intelligence, 761, 2018: 59-79.
https://doi.org/10.1007/978-981-10-8049-4_3
[25] S.K. Tiwari, S. Pande, Selection of Gear Materials Using MCDM-TOPSIS Approach. International Journal of Manufacturing and Materials Processing, 3, 2017: 10-15.
[26] K. Yang, N. Zhu, C. Chang, D. Wang, S. Yang, S. Ma, A methodological concept for phase change material selection based on multicriteria decision making (MCDM): A case study. Energy, 165, 2018: 1085-1096.
https://doi.org/10.1016/j.energy.2018.10.022
[27] J. Martinez-Gomez, G. Guerron, R. A. Narvaez, Cookware material selection by multi-criteria decision making (MCDM) methods. International Journal of Engineering Trends and Technology, 34(8), 2016: 394-399.
[28] M.A. Sofuoglu, A new biomaterial selection approach using reference ideal method. Sadhana, 2021, 2021: 46-36.
https://doi.org/10.1007/s12046-021-01559-7
[29] S.A. Torabi, I. Shokr, A Common Weight Data Envelopment Analysis Approach for Material Selection. International Journal of Engineering, IJE TRANSACTIONS C: Aspec, 28(6), 2015: 913-921.
[30] E. Roszkowska, Rank Ordering Criteria Weighting Methods – A Comparative Overview. Journal Dedicated to the Needs of Science and Practice, 5, 2013: 1-168.
[31] C. Zopounidis, M. Doumpos, Multiple Criteria Decision Making – Applications in Management and Engineering. Springer, 2017.
[32] J. Ahmad, J. Xu, M. Nazam, Multi – criteria group decision making for pipe material selection: Comparative analysis of HF-VIKOR and HF-ELECTRE II. International Journal of development research, 5(6), 2015: 4826-4841.
[33] S.K. Anand, S. Mitra, Material Selection for Tool Holder using MCDM Methods. International Journal of Emerging Technologies in Engineering Research, 9(6), 2021: 1-13.
[34] L. Anojkumar, M. Ilangkumaran, M. Vignesh, A decision making methodology for material selection in sugar industry using hybrid MCDM techniques. Internationla journal of Materials and Product Technology, 51(2), 2015: 102-126.
[35] P. Chatterjee, S. Chakraborty, Gear Material Selection using Complex Proportional Assessment and Additive Ratio Assessment-based Approaches: A Comparative Study. International Journal of Materials Science and Engineering, 1(2), 2013: 104-111. https://doi.org/10.12720/ijmse.1.2.104-111
[36] D. Petković, M. Madić, M. Radovanović, P. Janković, Application of Recently Developed MCDM Methods for Materials Selection. Applied Mechanics and Materials, 809-810, 2015: 1468-1473.
https://doi.org/10.4028/www.scientific.net/AMM.809-810.1468
[37] M. Singh, M. Pant, R.D. Godiyal, A.K. Sharma, MCDM approach for selection of raw material in pulp and papermaking industry. Materials and Manufacturing Processes, 35(3), 2020: 241-249. https://doi.org/10.1080/10426914.2020.1711917
[38] S. Ercan, D. Bilal, Material selection on countermeasure flare systems by multi criteria decision making methods. International Journal of Multidisciplinary Studies and Innovative Technologies, 4(1), 2020: 1-9.
[39] D. Rai, G. K. Jha, P. Chatterje, S. Chakrabort, Material Selection in Manufacturing Environment Using Compromise Ranking and Regret Theory-based Compromise Ranking Methods: A Comparative Study. Universal Journal of Materials Science, 1(2), 2013: 69-77. https://doi.org/10.13189/ujms.2013.010210
[40] S.V. Bhaskar, H.N. Kudal, Multi-criteria decision-making approach to material selection in tribological application. International Journal of Operational Research, 31(1), 2019: 92-122. https://doi.org/10.1504/IJOR.2019.10023658
[41] M. Ilangkumaran, A. Avenash, V. Balakrishnan, S.B. Kumar, M.B. Raja, Material selection using hybrid MCDM approach for automobile bumper. International Journal of Industrial and Systems Engineering, 14(1), 2013: 20-39.
https://doi.org/10.1504/IJISE.2013.052919
[42] C. Prasenjit, B. Arnab, M. Supraksh, B. Soumava, C. Shankar, Development of a Hybrid Meta-Model for Material Selection Using Design of Experiments and EDAS Method. Engineering Transactions, 66(2), 2018: 187-207.
[43] A.S. Milani, A. Shanian, R. Madoliat, J.A. Nemes, The effect of normalization norms in multiple attribute decision making models: a case study in gear material selection. Structural and Multidisciplinary Optimization, 29(4), 2005: 312-318. https://doi.org/10.1007/s00158-004-0473-1
[44] P. Chatterjee, S. Chakraborty, Material selection using preferential ranking methods. Materials & Design, 35, 2012: 384-393. https://doi.org/10.1016/j.matdes.2011.09.027
[45] H. Calıskan, Selection of boron based tribological hard coatings using multi-criteria decision making methods. Materials and Design, 50 (2013) 742-749. http://dx.doi.org/10.1016/j.matdes.2013.03.059
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)
Volume 9
Number 3
September 2024
Last Edition
Volume 9
Number 3
September 2024
How to Cite
T.V. Dua, Application of the Collaborative Unbiased Rank List Integration Method to Select the Materials. Applied Engineering Letters, 7(4), 2022: 133–142.
https://doi.org/10.18485/aeletters.2022.7.4.1
More Citation Formats
Dua, T. V. (2022). Application of the Collaborative Unbiased Rank List Integration Method to Select the Materials. Applied Engineering Letters, 7(4), 133–142. https://doi.org/10.18485/aeletters.2022.7.4.1
Dua, Tran Van, “Application of the Collaborative Unbiased Rank List Integration Method to Select the Materials.” Applied Engineering Letters, vol. 7, no. 4, 2022, pp. 133–42, https://doi.org/10.18485/aeletters.2022.7.4.1.
Dua, Tran Van, 2022. “Application of the Collaborative Unbiased Rank List Integration Method to Select the Materials.” Applied Engineering Letters 7 (4): 133–42. https://doi.org/10.18485/aeletters.2022.7.4.1.
Dua, T.V. (2022). Application of the Collaborative Unbiased Rank List Integration Method to Select the Materials. Applied Engineering Letters, 7(4), pp.133–142. doi: 10.18485/aeletters.2022.7.4.1.