AN INTEGRATED MULTI ATTRIBUTE DECISION MAKING METHODOLOGY FOR SELECTION OF INDUSTRIAL ROBOT
Keywords:
Industrial Robot, Grey Relational Analysis , Analytical Hierarchy Method, Entropy MethodAbstract
The aim of the present work is to propose an integrated multi attribute decision making (MADM) methodology for selection of Industrial Robot for a given application. The proposed methodology is based on Grey relational analysis with considering integrated weight of every industrial robot selection attributes. The integrated weights are computed using Analytical hierarchy method and Entropy method. One numerical application is presented to demonstrate and validate the proposed industrial robots selection methodology. The study has concluded that the proposed methodology is an appropriate for selection of Industrial robot.
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References
Wang M J, Singh H P, and Huang W V (1991), “A Decision Support System for Robot Selection”, Decision Support Systems, Vol. 7, 273–283.
Goh C H (1997), “Analytic Hierarchy Process for Robot Selection”, Journal of Manufacturing Systems, Vol. 16,381–386.
Parkan C and Wu M L (1999), “Decision-Making and Performance Measurement Models with Applications to Robot Selection”, Computers & Industrial Engineering, Vol. 36, 503–523.
Khouja M J and Kumar R L (1999), “An Options View of Robot Performance Parameters in a Dynamic Environment”, International Journal of Production Research, Vol. 37, 1243–1257.
Bragilia M and Petroni A (1999), “Evaluating and Selecting Investments in Industrial Robots”, International Journal of Production Research, Vol. 37, 4157–4178.
Chu T C and Lin Y C (2003), “A fuzzy TOPSIS Method for Robot Selection”, International Journal of Advanced Manufacturing Technology, Vol. 21, 284–290.
Bhangale P P, Agrawal V P and Saha S K (2004), “Attribute Based Specification, Comparison and Selection of a Robot”, Mechanism & Machine Theory, Vol. 39, 1345–1366.
Rao R V and Padmanabhan K K (2006), “Selection, Identification and Comparison of Industrial Robots using Diagraph and Matrix Approach”, Robotics and Computer Integrated Manufacturing, Vol. 22, 373-383.
Kahraman C, Cevik S, Nufer Y A, and Gulbay M (2007), “Fuzzy Multi-Criteria Evolution of Industrial Robotic System”, Computers and Industrial Engineering, Vol. 52 (4), 414-433.
Zanakisa S H, Solomon A, Wishart N and Dublish S (1998), “Multi-Attribute Decision Making: A Simulation Comparison of Select Methods”, European Journal of Operational Research, Vol. 107, 507-529.
Chen S J and Hwang C L (19920, “Fuzzy Multiple Attribute Decision Making Methods and Applications”, Lecture Notes in Economics and Mathematical Systems, Springer, New York.
Saaty T L (1980), “The Analytic Hierarchy Process, McGraw Hill, New York.
Zeleny M (1982), Multiple Criteria Decision Making, McGraw Hill, New York.
Deng J L (1989), “Introduction to Grey System Theory”, The Journal of Grey System, Vol. 1(1), 1–24.
Rao R V (2007), Decision Making in the Manufacturing Environment using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods, Springer-Verlag London Limited.
