Multi-criteria Decision Making Approach: selection of Blanking Die Material (TECHNICAL NOTE)


1 Gujarat Technological University, Chandkheda, Ahmadabad, Gujarat, India

2 Faculty of Technology and Engineering, M. S. University, Baroda, Gujarat, India


Proper selection of material in manufacturing firms is a vital role of designer depending upon the different era of application. The material selection problem is very complex and challenging task today. Erroneous cull of material frequently leads to astronomically immense cost involution, and finally drives towards unfortunate component or product breakdown. Thus, the designer necessitates discovering and culling the felicitous materials with concrete functionalities in order to obtain the desired output with least cost involution and definite applicability. It is an intension for simple, logical and rational methods or statistical implements to direct decision makers while considering number of cull attributes and their interrelations. This paper introduce a way to work out the material selection problem by one of the most Multi-Criteria decision making (MCDM) approaches in which ranking of the best material is computed using the multi-objective optimization on the basis of ratio analysis (MOORA) method.


1.     Rao, R. and Patel, B., "A subjective and objective integrated multiple attribute decision making method for material selection", Materials & Design,  Vol. 31, No. 10, (2010), 4738-4747.

2.     Kumar, R. and Ray, A., "Selection of material for optimal design using multi-criteria decision making", Procedia Materials Science,  Vol. 6, (2014), 590-596.

3.     Singh, D. and Rao, R., "A hybrid multiple attribute decision making method for solving problems of industrial environment", International Journal of Industrial Engineering Computations,  Vol. 2, No. 3, (2011), 631-644.

4.     Gorener, A., Toker, K. and Uluçay, K., "Application of combined swot and ahp: A case study for a manufacturing firm", Procedia-social and Behavioral Sciences,  Vol. 58, (2012), 1525-1534.

5.     Dey, B., Bairagi, B., Sarkar, B. and Sanyal, S., "A moora based fuzzy multi-criteria decision making approach for supply chain strategy selection", International Journal of Industrial Engineering Computations,  Vol. 3, No. 4, (2012), 649-662.

6.     Brauers, W.K.M. and Zavadskas, E.K., "The moora method and its application to privatization in a transition economy", Control and Cybernetics,  Vol. 35, No. 2, (2006), 445-452.

7.     Chakladar, N.D. and Chakraborty, S., "A combined topsis-ahp-method-based approach for non-traditional machining processes    selection",  Proceedings   of   the   Institution   of Mechanical Engineers, Part B: Journal of Engineering Manufacture,  Vol. 222, No. 12, (2008), 1613-1623.

8.     Chakraborty, S., "Applications of the moora method for decision making in manufacturing environment", The International Journal of Advanced Manufacturing Technology,  Vol. 54, No. 9, (2011), 1155-1166.

9.     Al-Harbi, K.M.A.-S., "Application of the ahp in project management", International journal of project management,  Vol. 19, No. 1, (2001), 19-27.

10.   Gadakh, V., Shinde, V. and Khemnar, N., "Optimization of welding process parameters using moora method", The International Journal of Advanced Manufacturing Technology,  Vol. 69, No. 9-12, (2013), 2031-2039.

11.   Bose, G. and Mahapatra, K., "Multi criteria decision making of machining parameters for die sinking edm process", International Journal of Industrial Engineering Computations,  Vol. 6, No. 2, (2015), 241.

12.   Maniya, K.D., Zaveri, N. and Bhatt, M., "Multi attribute evaluation of water jet weaving machine using analytical hierarchy process", Journal of Textile and Apparel, Technology and Management,  Vol. 6, No. 4, (2010), 224-233.

13.   Madić, M., Petković, D. and Radovanovic, M., "Selection of non-conventional machining processes using the ocra method", Serbian Journal of Management,  Vol. 10, No. 1, (2015), 61-73.

14.   Mukherjee, R., Chakraborty, S. and Samanta, S., "Selection of wire electrical discharge machining process parameters using non-traditional optimization algorithms", Applied Soft Computing,  Vol. 12, No. 8, (2012), 2506-2516.

15.   Gadakh, V., "Application of moora method for parametric optimization of milling process", International Journal of Applied Engineering Research,  Vol. 1, No. 4, (2010), 743-751.

16.   Chaturvedi, V., Jain, A., Bhadauriya, A. and Tomar, K., "Parametric optimization of ecm process parameters by moora method", International Journal of Research in Engineering and Applied Sciences,  Vol. 4, No. 10, (2014), 1-10.

17.   Brauers, W.K.M., Zavadskas, E.K., Peldschus, F. and Turskis, Z., "Multi-objective optimization of road design alternatives with an application of the moora method",  (2008).

18.   Gaidhani, Y. and Kalamani, V., "Abrasive water jet review and parameter selection by ahp method", Journal of Mechanical and Civil Engineering,  Vol. 8, No. 5, (2013), 01-06.

19.   Tavakkoli-Moghaddam, R., Heydar, M. and Mousavi, S., "An integrated ahp-vikor methodology for plant location selection", International Journal of Engineering-Transactions B: Applications,  Vol. 24, No. 2, (2011), 127-134.

20.   Rao, R.V., "Decision making in the manufacturing environment: Using graph theory and fuzzy multiple attribute decision making methods, Springer Science & Business Media,  (2007).