MCDM Model for Selection of Optimum Machining Process

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.

[1]  Eleonora Bottani,et al.  An adapted multi-criteria approach to suppliers and products selection—An application oriented to lead-time reduction , 2008 .

[2]  Thomas L. Saaty.  A note on the AHP and expected value theory , 1986 .

[3]  M. R. Abdi,et al.  Fuzzy multi-criteria decision model for evaluating reconfigurable machines , 2009 .

[4]  R Jehadeesan,et al.  Web-based Knowledge Based System for Selection of Non-traditional Machining Processes , 2008 .

[5]  Shankar Chakraborty,et al.  Selection of non-traditional machining processes using analytic network process , 2011 .

[6]  Mustafa Yurdakul,et al.  AHP as a strategic decision-making tool to justify machine tool selection , 2004 .

[7]  Thomas L. Saaty,et al.  Decision-making with the AHP: Why is the principal eigenvector necessary , 2003, Eur. J. Oper. Res..

[8]  Carlos A. Bana e Costa,et al.  A multicriteria decision analysis model for faculty evaluation , 2012 .

[9]  S. G. Deshmukh,et al.  Multi-attribute decision model using the analytic hierarchy process for the justification of manufacturing systems , 1992 .

[11]  Thomas L. Saaty.  Fundamentals of decision making and priority theory , 2000 .

[12]  Birsen Karpak,et al.  Small medium manufacturing enterprises in Turkey: An analytic network process framework for prioritizing factors affecting success , 2010 .

[13]  R. W. Saaty,et al.  The analytic hierarchy process—what it is and how it is used , 1987 .

[14]  Jukka Korpela,et al.  Warehouse operator selection by combining AHP and DEA methodologies , 2007 .

[15]  Zone-Ching Lin,et al.  Evaluation of machine selection by the AHP method , 1996 .

[16]  Mario T. Tabucanon,et al.  Decision support system for multicriteria machine selection for flexible manufacturing systems , 1994 .

[17]  M. Dixit,et al.  Tata McGraw Hill Education Private Limited , 2015 .

[18]  Cengiz Kahraman,et al.  Operating system selection using fuzzy replacement analysis and analytic hierarchy process , 2005 .