AN APPLICATION OF INTEGRATED MULTI CRITERIA DECISION MAKING (AHP/COPRAS) MODEL FOR RANKING AND SELECTION OF FLEXIBLE MANUFACTURING SYSTEM
Keywords:
Multi Criteria Decision Making, FMS, AHP Method, COPRAS MethodAbstract
The aim of the present work is to propose an integrated multi criteria decision making (MCDM) methodology for ranking selection of flexible manufacturing system. The proposed model is based on Analytical hierarchy process (AHP) method and COmplex PRoportional ASsessment (COPRAS) method. AHP method is used to determine the relative normalized weights of FMS selection criteria and COPRAS method is employed to find FMS utility index of each FMS alternatives. Furthermore, all FMS alternatives are ranked and arranged in the descending order according to FMS utility index value and FMS alternative is selected as best candidate for a given application whose FMS utility index value is the highest or ranked first. One numerical application of FMS selection problem presented to demonstrate and validate the applicability integrated multi criteria decision making AHP/COPRAS method for effective ranking and selection of flexible manufacturing system.
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References
Stecke K E (1983), “Formulation and Solution of Non-Linear Integer Production Planning Problems for Flexible Manufacturing Systems”, Management Science, Vol. 29, 273–288.
Maniya K D and Bhatt M G (2010), “A Selection of Flexible Manufacturing System using Grey Relational Analysis with Integrated Weight”, Proc. of the 3rd International Conference on Advances in Mechanical Engineering, January 4-6, SVNIT, Surat, India, 633-637.
Talluri S, Whiteside M M and Seipel S J (2000), “A Nonparametric Stochastic Procedure for FMS Evaluation”, European Journal of Operational Research, Vol. 124 (3), 529–538.
Felix T S Chan, Jiang Bing and Nelson K H Tang (2000), “The Development of Intelligent Decision Support Tools to Aid the Design of Flexible Manufacturing Systems”, International Journal of Production Economics, Vol. 65, 73–84.
Karsak E E and Ethem T(2001), “Fuzzy Multi-Criteria Decision-Making Procedure for Evaluating Advanced Manufacturing System Investments”, International Journal of Production Economics, Vol. 69, 49–64.
Karsak E E and Kuzgunkaya O (2002), “A Fuzzy Multiple Objective Programming Approach for the Selection of a Flexible Manufacturing System”, International Journal of Production Research, Vol. 79, 101–111.
Tseng Mei-Chiun (2004), “Strategic Choice of Flexible Manufacturing Technologies”, International Journal of Production Economics, Vol. 91 (3), 223–227.
Bayazit Ozden (2005), “Use of AHP in Decision-Making for Flexible Manufacturing Systems”, Journal of Manufacturing Technology Management, Vol. 16 (7), 808–819.
Kulak Osman and Kahraman Cengiz (2005), “Multi-Attribute Comparison of Advanced Manufacturing Systems using Fuzzy vs. Crisp Axiomatic Design Approach”, International Journal of Production Research, Vol. 95, 415–424.
Rao R V (2006), “A Decision-Making Framework Model for Evaluating Flexible Manufacturing Systems using Digraph and Matrix Methods”, International Journal of Advanced Manufacturing Technology, Vol. 30, 1101–1110.
Rao R V (2007), “Evaluating Flexible Manufacturing Systems using a Combined Multiple Attribute Decision Making Method”, International Journal of Production Research, Vol. 46(7), 1975 -89.
Shiang-Tai Liu (2008), “A Fuzzy DEA/AR Approach to the Selection of Flexible Manufacturing Systems”, Computers & Industrial Engineering, Vol. 54 (1), 66–76.
Rao R V and Manukid Parnichkun (2009), “Flexible Manufacturing System Selection using a Combinatorial Mathematics-Based Decision-Making Method”, International Journal of Production Research, Vol. 47 (24), 6981 -6998.
Chuu S J (2009), “Selecting the Advanced Manufacturing Technology using Fuzzy Multiple Attributes Group Decision Making with Multiple Fuzzy Information”, Computers & Industrial Engineering, Vol. 57, 1033–1042.
Chuu S J and Hawang C L (1992), “Fuzzy Multiple Attribute Decision Making: Methods and Applications”, Lecture notes in Economics and Mathematical Systems, Springer-Verlag: Berlin.
Deng J L (1989), “Introduction to Grey System Theory”, The Journal of Grey system, Vol. 1, 1-24.
Saaty T L (1980), The analytic hierarchy process, McGraw Hill, New York.
Zavadskas E K, Kaklauskas A and Sarka V (1994), “The New Method of Multi-Criteria Complex Proportional Assessment of Projects”, Technological and Economic Development of economy, Vol. 1(3), 131-139.
Zavadskas E K, Kaklauskas A, Peldschus F and Turskis Z (2007), “Multi-Attribute Assessment of Road Design Solutions by using the COPRAS Method”, The Baltic journal of Road and Bridge engineering, Vol. 2(4), 195-203.
Venkatasamy R and Agrawal V P (1997), “A Digraph Approach to Quality Evaluation of an Automotive Vehicle”, Quality Engineering, Vol.9(3), 405–417.