Materials Ranking by Means of Multi Attribute Decision Making

Abstract:

The first part of the work shortly describes possible mathematical methods for decision making. The paper gives an overview with general comments on multi-criteria problems, related to the preferences and the priorities of the decision-makers. The paper proposed and solves an example for material rating by a multiple attribute decision making. The MADM and PCA methodologies have been applied to rank out ten alternatives. Similar materials were selected using both techniques.

• Periodical: Applied Mechanics and Materials (Volume 760)
• Pages: 135-140
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.760.135
• Online since: May 2015
• Authors: Adrian Stere Paris*, Constantin Târcolea
• Keywords: MADM, Material Selection, Preference Index Value

References

[1] S. Opricovic, G. -H. Tzeng, The Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS, European J. of Op. Research 156(2) (2004) 445-455.

DOI: 10.1016/s0377-2217(03)00020-1

[2] S.D. Pohekar , M. Ramachandran, Application of multi-criteria decision making to sustainable energy planning—A review, Renewable and Sustainable Energy Reviews 8 (2004) 365–381.

DOI: 10.1016/j.rser.2003.12.007

[3] C. Hwang, K. Yoon, Multiple attribute decision making: method and application, Springer Publications, Berlin, (1981).

[4] J. M. Lafleur, Probabilistic AHP and TOPSIS for Multi-Attribute Decision-Making under Uncertainty, IEEEAC paper #1135, V. 2, (2011) 1-18.

DOI: 10.1109/aero.2011.5747655

[5] K. S. Raju, D. N. Kumar, Multi criterion decision making in irrigation planning, Agr. Sys., 62 (1999) 117-129.

[6] S. Zhaoxu, M. Han, Multi-criteria decision making method based on Improved ELECTRE III model, International Conference on Education Technology and Management Science (ICETMS), Atlantis Press (2013) 548-550.

DOI: 10.2991/icetms.2013.306

[7] S. Opricovic, G. -H. Tzeng, Extended VIKOR Method in Comparison with Outranking Methods, European Journal of Operational Research, V. 178, No 2 (2007) 514–529.

DOI: 10.1016/j.ejor.2006.01.020

[8] C. Târcolea, A. S. Paris, P. Voicu, Principal Component Analysis Applied to Agricultural Equipments, Tarım Makinaları Bilimi Dergisi (Journal of Agricultural Machinery Science) Istanbul 7 (3) (2011) 305-308.

[9] A. S. Paris, C. Târcolea, PCA Applied for Equipments Selection, Int. Conf. on Manuf. Sci. and Educ. - MSE 2011- Sibiu-Romania Proceedings of the 5th International Conference on Manufacturing Science and Education- MSE 2011 vol. I Creative Thinking in Engineering and Academic Education, June 2-5, Ed. Univ. L. Blaga Sibiu ( 2011) 349-352.

[10] A. S. Paris, C. Târcolea, Computer aided selection in design processes with multivariate statistics, Proc. of the Int. Conf. on Manuf. Sys., ICMaS, Bucharest, Vol. 4, (2009) 335-338.

[11] C. Târcolea, A. S. Paris, The Joreskog technique applied for materials design, Proceedings of the 17th International Conference on Manufacturing Systems – ICMaS, nov. 2008, Ed Acad. Romane, Bucharest, Romania, (2008) 309-312.

[12] C. Târcolea, A. S. Paris, Discriminant Analysis and Applied Regression, The International Conference of Differential Geometry and Dynamical BSG PROCEEDINGS 18, (DGDS-2010) August 2010, Bucharest, Geometry Balkan Press, (2011) 221-226.

[13] M. F. Ashby, Materials Selection in Mechanical Design, Third Edition, Ed. Elsevier, Amsterdam, (2005).

[14] C. Târcolea, A. S. Paris, A. Demetrescu –Târcolea, Statistical methods applied for materials selection The International Conference DGDS-2008 & MENP-5, 2008, Mangalia, Romania, Applied Sciences, Geometry Balkan Press, Vol. 11, (2009) 145-150.

[15] A. S. Paris, S. Ionescu, P. Szel, C. Târcolea, Statistical approach in the selection of materials for engineering products, Sci. Sem. Modern mechanical design, Ed. U. P. B., (1991), 97-106.

[16] H. Singh, R. Kumar, Selection of Material for Bicycle Chain in Indian Scenario using MADM Approach, Proceedings of the World Congress on Engineering, V. III , London, (2012) 1377-1381.

[17] A. Cantrell, Bicycle materials case study, Information on http: /depts. washington. edu /matseed/ mse_resources/ Webpage/Bicycle/Bicycle%20Materials%20Case%20Study. htm.

[18] A.S. Paris, Statistik Anwendungen in Ingenieurwissenschaften - eine starke Innovationsunterstützung, Interdisciplinary approach of innovation as a progress factor, Int. Scientific Conf. Bucharest, Romania, Dec. 2012, FILS, UPB, Ed. Printech, (2012).

[19] P. Thokala, A. Duenas, Multiple Criteria Decision Analysis for Health Technology Assessment, Value in Health, V. 15, Is. 8 (2012) 1172-1181.

DOI: 10.1016/j.jval.2012.06.015

[20] Y. Peng, Y. Zhang, G. Kou, Y. Shi, A Multi criteria Decision Making Approach for Estimating the Number of Clusters in a Data Set, PLoS ONE, v. 7, is. 7 (2012) 1-8.

DOI: 10.1371/journal.pone.0041713