MCDM Model for Selection of Optimum Machining Process

Abstract:

The work of manufacturing engineers is to utilize the minimum amount of energy or resources in bringing out a product without compromising on quality. Hence, to achieve this, the engineers must figure out the optimum or the best possible method to fabricate a product. This paper uses a multi criteria decision making (MCDM) model namely Analytical Hierarchical Process (AHP) to determine the best possible machining process to achieve the optimum results for an engraving operation on gear face in an automobile industry which uses five nontraditional machining processes viz; Laser Beam Machining (LBM), Ultrasonic Machining (USM), Electric Discharge Machining (EDM), Electrochemical Machining (ECM) and Electron Beam Machining (EBM). The five criteria considered in this paper are Material Removal Rate (MRR), Surface Finish, Depth Damage, Tolerance and Toxicity. The AHP result shows that ECM is the most suitable machining process as compared to others.

• Periodical: Materials Science Forum (Volumes 773-774)
• Pages: 348-354
• DOI: https://doi.org/10.4028/www.scientific.net/MSF.773-774.348
• Online since: November 2013
• Authors: Sriram Srinivasan, Lakshmikanthan Srivatsan, Rajaram Sathyanarayan, B. Vijaya Ramnath
• Keywords: Analytical Hierarchical Process (AHP), Engraving Operation, Multi Criteria Decision Making (MCDM), Non Traditional Machining Process

References

[1] B. Karpak and L. Topcu, Small medium manufacturing enterprises in Turkey: An analytical network process framework for prioritizing factors affecting success, Int. J. of Production Economics, 111 (2008) 60-70.

DOI: 10.1016/j.ijpe.2010.01.001

[2] E. Bottani and A. Rizzi, An adapted multi criteria approach to suppliers and products selection – An application oriented to lead time reduction, Int. J. of Production Economics, 111 (2008) 763-781.

DOI: 10.1016/j.ijpe.2007.03.012

[3] E. Tolga, M. Demircan and C. Kahraman, Operating System Selection using fuzzy replacement analysis and analytical hierarchial process, Int. J. of Production Economics, 97 (2005) 89-117.

DOI: 10.1016/j.ijpe.2004.07.001

[4] C.A. Costa and M.D. Oliveira, A Multicriteria decision analysis model for faculty evaluation The Int. J. of Management sciences, 40 (2012) 424-436.

[5] Z. Lin and C. Yang, Evaluating of machine selection by AHP method, J. of Material Processing Technology, 57 (1996) 253-258.

[6] M. Yurdukul, AHP as a strategic decision making tool to justify machine selection, J. of Material Processing Technology, 146 (2004) 365-376.

DOI: 10.1016/j.jmatprotec.2003.11.026

[7] B. Vijaya Ramnath, C. Elanchezhian and R. Kesavan, A Multi attribute decision making method for selection of optimum assembly line, 1 (2011) 65-72.

DOI: 10.5267/j.msl.2010.01.003

[8] E. Chandrasselan, R. Jehadessan and M. Raajenthiran, Web-based knowledge system for selecting of non-traditional machining process, Malaysian journal of Computer Science, 21 (2008) 45-56

[9] S. Das and S. Chakraborty Selection of non-traditional machining process using Analytical Network process, J. of Manufacturing Systems, 30 (2011) 41-63.

DOI: 10.1016/j.jmsy.2011.03.003

[10] V. Datta, K.V. Sambasivarao, R. Kodali and S.G. Deshmukh, Multi Attribute decision model using the analytical hierarchial process for justification of manufacturing systems, Int. J. of Production Economics, 28 (1991) 227-234.

DOI: 10.1016/0925-5273(92)90035-6

[11] M.T. Tubucanon, D.N. Batanov and D.K. Verma, Decision support system for Multicriteria machine selection for flexible manufacturing systems, Computers in Industry, 25 (1994) 131-143.

DOI: 10.1016/0166-3615(94)90044-2

[12] M.R. Abdi, Fuzzy multi-criteria decision model for evaluating reconfigurable machines, Int. J. of Production Economics, 117 (2009) 1-15.

DOI: 10.1016/j.ijpe.2008.06.009

[13] J. Korpela, J. Lehmusvaara and J. Nisonen, Warehouse Operator selection by combining AHP and DEA methodologies, Int. J. of Production Economics, 108 (2007) 135-142.

DOI: 10.1016/j.ijpe.2006.12.046

[14] R.W. Saaty, The analytical hierarchy process – what it is and how it is used, Mathematical Modelling, 9 (1987) 161-176.

DOI: 10.1016/0270-0255(87)90473-8

[15] T.L. Saaty, A note on the AHP and expected value theory, Socio- Economic Planning Sciences, 20 (1986) 397-398.

DOI: 10.1016/0038-0121(86)90053-4

[16] T.L. Saaty, Decision-making with the AHP: why is the principal eigenvector necessary, European Journal of Operations Research, 145 (2003) 85-91.

DOI: 10.1016/s0377-2217(02)00227-8

[17] P.C. Pandey and H.S. Shan, Modern Machining Processes, Tata Mcgraw Hill Education Private Limited, 1980.

[18] T.L. Saaty and G. Vargas, Fundamentals of Decision making and Priority Theory, Volume 6, Springer Publications, 2000.