CNC Machine tool selection using MCDM techniques and application of software SANNA
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2016 by IJETT Journal|
|Year of Publication : 2016|
|Authors : Vipul Gupta, Babalu kumar, Dr.Uttam Kumar Mandal
|DOI : 10.14445/22315381/IJETT-V35P267|
Vipul Gupta, Babalu kumar, Dr.Uttam Kumar Mandal"CNC Machine tool selection using MCDM techniques and application of software SANNA", International Journal of Engineering Trends and Technology (IJETT), V35(7),323-334 May 2016. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Machine tool selection is a very complex procedure. It involves deep analysis of various factors affecting functioning and performance. CNC machine tool selection is also a such kind of problem. Objective of this study is to perform various MCDM methods for selecting most appropriate machine tool. AHP method is used to calculate the weights of various criteria . The numerical problem considered for MCDM application is related to CNC machine manufactured by leading companies of the world. Various criteria are well examined and weightage is assigned to each criteria on this basis. There are used three normal MCDM methods viz. TOPSIS , MOORA, COPRAS and one outranking method namely ELECTRE I. Weights obtained by AHP method are used for all successive applications .MS-Excel add-in application SANNA (System for ANalysis of Alternatives) is used for evaluation through TOPSIS and ELECTRE methods. Results demonstrate an effective method for selecting CNC machine tool. Analysis of complexity is carried out for each method to arrive on best method along with the best alternative.
 M.C Arslan, B. Catay and E. Budak, ?A decision support system for machine tool selection, Journal of Manufacturing Technology Management, Vol. 15, No. 1, pp. 101-109, 2004.
 ?. Ertu?rul, and M. Güne?, ?Fuzzy Multi-criteria Decision Making Method for Machine Selection, Analysis and Design of Intelligent Systems using Soft Computing Techniques, pp.638-648, 2007.
 S.Z.M. Dawal et al.(2012) ?Multi-attribute decisionmaking for CNC machine tool selection in FMC based on the integration of the improved consistent fuzzy AHP and TOPSIS , ASEAN Eng J 3(2):15-31
 Sun S., 2002, ?Assessing computer numerical control machines using data envelopment analysis, International Journal of Production Research, 40, 2011-2039.
 Atmani A., and Lashkari R.S., (1998), ?A model of machine-tool selection and operation allocation in FMS, International Journal of Production Research, 36, 1339-1349.
 Rai R., Kameshwaran S., and Tiwari M.K., 2002, ?Machine tool selection and operation allocation in FMS: Solving a fuzzy goal-programming model using a genetic algorithm, International Journal of Production Research, 40, 641-665.
 Mishra S., Prakash, Tiwari M.K., and Lashkari R.S., 2006, ?A fuzzy goal-programming model of machinetool selection and operation allocation problem in FMS: A quick converging simulated annealing-based approach, International Journal of Production Research, 44, 43-76.
 Yurdalul M., 2004, ?AHP as a strategic decisionmaking tool to justify machine tool selection, Journal of Materials Processing Technology, 146, 365-376.
 Aya? Z., and Özdemir R.G., 2006, ?A fuzzy AHP approach to evaluating machine tool alternatives, Journal of Intelligent Manufacturing, 17, 179-190.
 Durán O., and Aguilo J., 2008, ?Computer-aided machine-tool selection based on a fuzzy-AHP approach, Expert Systems with Applications, 34, 1787-1794.
 Yurdalul M., and ?ç Y.T., 2009, ?Analysis of the benefit generated by using fuzzy numbers in a TOPSIS model developed for machine tool selection problems, Journal of Materials Processing Technology, 209, 310-317.
 Saaty T.L., 1980, The Analytical Hierarchy Process, McGraw Hill, New York.
 Ermitita and S. Hartati, ?ELECTRE methods in solving group decision support system bioinformatics on gene mutation detection simulation?, vol3, no1 Feb 2011
 U.K. Mandal and B.Sarkar, ?Selection of best IMS under fuzzy MOORA conflicting MCDM environment, International Journal of Emerging Technology and Advanced Engineering,vol-2, 2012.
 M.Velasquez and P. T. Hester, ?An Analysis of Multi- Criteria Decision Making Methods,International Journal of Operations Research Vol. 10, No. 2, 56-66 (2013).
 D.Stanujkic, B. ?or?evi?, and M. ?or?evi?, ?comparative analysis of some prominent mcdm methods: a case of ranking serbian banks, Serbian Journal of Management 8 (2) (2013) 213 – 241.
 J.M.-Gómez, G. Guerrón, R. A. Narvaez C, ?Cookware material selection by multi-criteria decision making (MCDM) methods, International Journal of Engineering Trends and Technology (IJETT) – Volume 34 Number 8- April 2016
 J. Martinez , R.A. Narvaez C(2016), ?Use of Multicriteria Decision Making (MCDM) Methods for Biomass Selection Aimed to Fischer Tropsch Processes, Volume 34 Number 6- April 2016, 226- 272.
CNC Machine tool, MCDM, SANNA, MOORA, TOPSIS, ELECTREI, COPRAS.