How to cite this paper
APA: Karande, P., Zavadskas, E & Chakraborty, S. (2016). A study on the ranking performance of some MCDM methods for industrial robot selection problems. International Journal of Industrial Engineering Computations, 7(3), 399-422.
Chicago/Turabian: Karande, P., Zavadskas, E & Chakraborty, S. 2016. "A study on the ranking performance of some MCDM methods for industrial robot selection problems." International Journal of Industrial Engineering Computations 7, no. 3 (2016): 399-422.
AMA: Karande, P., Zavadskas, E & Chakraborty, S. A study on the ranking performance of some MCDM methods for industrial robot selection problems. International Journal of Industrial Engineering Computations. 2016;7(3):399-422.
References
Anojkumar, L., Ilangkumaran, M., & Sasirekha, V. (2014). Comparative analysis of MCDM methods for pipe material selection in sugar industry. Expert Systems with Applications, 41(6), 2964-2980.
Athawale, V.M., & Chakraborty, S. (2012). Material selection using multi-criteria decision-making methods: A comparative study. Proc. of the Institution of Mechanical Engineers, Journal of Materials: Design and Applications, 226(4), 267-286.
Bago?ius, V., Zavadskas, E.K., & Turskis, Z. (2013). Multi-criteria selection of a deep-water port in Klaipeda. Procedia Engineering, 57, 144-148.
Balezentiene, L., Streimikiene, D., & Balezentis, T. (2013). Fuzzy decision support methodology for sustainable energy crop selection. Renewable and Sustainable Energy Reviews, 17, 83-93.
Bale?entis, A., Bale?entis, T., & Valkauskas, R. (2010). Evaluating situation of Lithuania in the European union: structural indicators and MULTIMOORA method. Technological and Economic Development of Economy, 16(4), 578-602.
Balezentis, A., Balezentis, T., & Brauers, W.K.M. (2012). Personnel selection based on computing with words and fuzzy MULTIMOORA. Expert Systems with Applications, 39(9), 7961-7967.
Balezentis, T., & Zeng, S.Z. (2013). Group multi-criteria decision making based upon interval-valued fuzzy numbers: An extension of the MULTIMOORA method. Expert Systems with Applications, 40(2), 543-550.
Bhangale, P.P., Agrawal, V.P., & Saha, S.K. (2004). Attribute based specification, comparison and selection of a robot. Mechanism and Machine Theory, 39(12), 1345-1366.
Brauers, W.K.M. (2004). Optimization Methods for a Stakeholder Society. A Revolution in Economic Thinking by Multiobjective Optimization. Boston : Kluwer Academic Publishers.
Brauers, W.K.M., & Zavadskas, E.K. (2006). The MOORA method and its application to privatization in a transition economy. Control and Cybernetics, 35(2), 445-469.
Brauers, W.K.M., & Zavadskas, E.K. (2009). Robustness of the multi-objective MOORA method with a test for the facilities sector. Technological and Economic Development of Economy, 15(2), 352-375.
Brauers, W.K.M., & Zavadskas, E.K. (2010). Project management by MULTIMOORA as an instrument for transition economies. Technological and Economic Development of Economy, 16(1), 5-24.
Brauers, W.K.M., & Zavadskas, E.K. (2011). MULTIMOORA optimization used to decide on a bank loan to buy property. Technological and Economic Development of Economy, 17(1), 174-188.
Butler, J., Jia, J., & Dyer, J. (1997). Simulation techniques for the sensitivity analysis of multi- criteria decision models, European Journal of Operational Research, 103(3), 531-546.
Caterino, N., Iervolino, I., Manfredi, G., & Cosenza, E. (2009). Comparative analysis of multi-criteria decision-making methods for seismic structural retrofitting. Computer-Aided Civil and Infrastructure Engineering, 24(4), 432-445.
Chai, J., Liu, J.N.K., & Ngai, E.W.T. (2013). Application of decision-making techniques in supplier selection: A systematic review of literature. Expert Systems with Applications, 40(10), 3847-4272.
Chakraborty, S. (2011). Applications of the MOORA method for decision making in manufacturing environment. International Journal of Advanced Manufacturing Technology, 54(9-12), 1155-1166.
Chakraborty, S., & Zavadskas, E.K. (2014). Applications of WASPAS method in manufacturing decision making. Informatica, 25(1), 1-20.
Charnes, A.Y., & Cooper, W.W. (1963). Deterministic equivalents for optimizing and satisfying under chance constraints. Operations Research, 11(1), 18-39.
Chatterjee, P., Athawale, V.M., & Chakraborty, S. (2011). Materials selection using complex proportional assessment and evaluation of mixed data methods. Materials & Design, 32(2), 851-860.
Chatterjee, P., & Chakraborty, S. (2012). Material selection using preferential ranking methods. Materials & Design, 35, 384-393.
D?jus, T., & Antuchevi?ien?, J. (2013). Assessment of health and safety solutions at a construction site. Journal of Civil Engineering and Management, 19(5), 728-737.
Fishburn, P.C. (1967). Additive utilities with incomplete product set: applications to priorities and assignments. Baltimore : Operations Research Society of America.
Hashemkhani Zolfani, S., Aghdaie, M.H., Derakhti, A., Zavadskas, E.K., & Varzandeh, M.H.M. (2013). Decision making on business issues with foresight perspective; an application of new hybrid MCDM model in shopping mall locating. Expert Systems with Applications, 40(17), 7111-7121.
Karande, P., & Chakraborty, S. (2012). Application of multi-objective optimization on the basis of ratio analysis (MOORA) method for materials selection. Materials & Design, 37, 317-324.
Karsak, E.E., Sener, Z., & Dursun, M. (2012). Robot selection using a fuzzy regression-based decision making approach. International Journal of Production Research, 50(23), 6826-6834.
Lourenzutti, R., & Krohling, R.A. (2013). A study of TODIM in a intuitionistic fuzzy and random environment. Expert Systems with Applications, 40(16), 6459-6488.
MacCrimon, K. R. (1968). Decision Making among Multiple Attribute Alternatives: A Survey and Consolidated Approach. Rand Memorandum, RM-4823-ARPA.
Mela, K., Tiainen, T., & Heinisuo, M. (2012). Comparative study of multiple criteria decision making methods for building design. Advanced Engineering Informatics, 26(4), 716-726.
Miller, D. W., & Starr, M. K. (1969). Executive Decisions and Operations Research. New Jersey : Prentice-Hall, Inc., Englewood Cliffs.
Mondal, S., & Chakraborty, S. (2013). A solution to robot selection problems using data envelopment analysis. International Journal of Industrial Engineering Computations, 4(3), 355-372.
Opricovic, S., & Tzeng, G-H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156(2), 445-455.
Parkan, C., & Wu, M-L. (2000). Comparison of three modern multicriteria decision-making tools. International Journal of Systems Science, 31(4), 497-517.
Peldschus, F. (2009) The analysis of the quality of the results obtained with the methods of multi?criteria decisions. Ukio Technologinis ir Ekonominis Vystymas, 15(4), 580-592.
Podvezko, V. (2011) The comparative analysis of MCDA methods SAW and COPRAS. In?inerin? ekonomika - Engineering economics, 2(22), 134-146.
Podvezko, V., & Sivilevi?ius, H. (2013). The use of AHP and rank correlation methods for determining the significance of the interaction between the elements of a transport system having a strong influence on traffic safety. Transport, 28(4), 389-403.
Raju, K.S., & Pillai, C.R.S. (1999). Multicriterion decision making in river basin planning and development. European Journal of Operational Research, 112(2), 249-257.
Rao, R.V. (2007). Decision Making in the Manufacturing Environment using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods. London : Springer-Verlag.
Ruzgys, A., Volva?iovas, R., Ignatavi?ius, ?., & Turskis, Z. (2014). Integrated evaluation of external wall insulation in residential buildings using SWARA-TODIM MCDM method. Journal of Civil Engineering and Management, 20(1), 103-110.
Salminen, P., Hokkanen, J., & Lahdelma, R. (1998). Comparing multicriteria methods in the context of environmental problems. European Journal of Operations Research, 104(3), 485-496.
?io?inyte, E., & Antuchevi?iene, J. (2013). Solving the problems of daylighting and tradition continuity in a reconstructed vernacular building. Journal of Civil Engineering and Management, 19(6), 873-882.
Stani?nas, M., Medineckien?, M., Zavadskas, E.K., & Kalibatas, D. (2013). To modernize or not: ecological - economical assessment of multi-dwelling houses modernization. Archives of Civil and Mechanical Engineering, 13(1), 88-98.
Streimikiene, D., Balezentis, T., Krisciukaitien?, I., & Balezentis, A. (2012). Prioritizing sustainable electricity production technologies: MCDM approach. Renewable and Sustainable Energy Reviews, 16(5), 3302-3311.
Tavana, M., Momeni, E., Rezaeiniya, N., Mirhedayatian, S.M., & Rezaeiniya, H. (2013). A novel hybrid social media platform selection model using fuzzy ANP and COPRAS-G. Expert Systems with Applications, 40(14), 5425-5786.
Triantaphyllou, E., & Mann, S. H. (1989). An examination of the effectiveness of multi-dimensional decision-making methods: a decision-making paradox. Decision Support Systems, 5(3), 303-312.
Triantaphyllou, E., & S?nchez, A. (1997). A sensitivity analysis approach for some deterministic multi-criteria decision-making methods. Decision Sciences, 28(1), 151-194.
Ustinovichius, L., & Simanaviciene, R. (2010). The sensitivity analysis for cooperative decision by TOPSIS method. In Luo, Y. (Ed.), (89-96) Berlin Heidelberg : Springer-Verlag.
Wierzbicki, A.P. (1982). A mathematical basis for satisfying decision making. Mathematical Modelling, 3(5), 391-405.
Zanakis, S.H., Solomon, A., Wishart, N., & Dublish, S. (1998). Multi-attribute decision making: A simulation comparison of select methods. European Journal of Operational Research, 107(3), 507-529.
Zavadskas, E.K., Zakarevicius, A., & Antucheviciene, J. (2006). Evaluation of ranking accuracy in multi-criteria decisions. Informatica, 17(4), 601-618.
Zavadskas, E.K., Turskis, Z., Antucheviciene, J., & Zakarevicius, A. (2012). Optimization of weighted aggregated sum product assessment. Elektronika ir Elektrotechnika, 122(6), 3-6.
Zavadskas, E.K., Antucheviciene, J., ?aparauskas, J., & Turskis, Z. (2013a). Multi-criteria assessment of facades’ alternatives: peculiarities of ranking methodology. Procedia Engineering, 57, 107-112.
Zavadskas, E.K., Antucheviciene, J., Saparauskas, J., & Turskis, Z. (2013b). MCDM methods WASPAS and MULTIMOORA: verification of robustness of methods when assessing alternative solutions. Economic Computation and Economic Cybernetics Studies and Research, 47(2), 5-20.
Athawale, V.M., & Chakraborty, S. (2012). Material selection using multi-criteria decision-making methods: A comparative study. Proc. of the Institution of Mechanical Engineers, Journal of Materials: Design and Applications, 226(4), 267-286.
Bago?ius, V., Zavadskas, E.K., & Turskis, Z. (2013). Multi-criteria selection of a deep-water port in Klaipeda. Procedia Engineering, 57, 144-148.
Balezentiene, L., Streimikiene, D., & Balezentis, T. (2013). Fuzzy decision support methodology for sustainable energy crop selection. Renewable and Sustainable Energy Reviews, 17, 83-93.
Bale?entis, A., Bale?entis, T., & Valkauskas, R. (2010). Evaluating situation of Lithuania in the European union: structural indicators and MULTIMOORA method. Technological and Economic Development of Economy, 16(4), 578-602.
Balezentis, A., Balezentis, T., & Brauers, W.K.M. (2012). Personnel selection based on computing with words and fuzzy MULTIMOORA. Expert Systems with Applications, 39(9), 7961-7967.
Balezentis, T., & Zeng, S.Z. (2013). Group multi-criteria decision making based upon interval-valued fuzzy numbers: An extension of the MULTIMOORA method. Expert Systems with Applications, 40(2), 543-550.
Bhangale, P.P., Agrawal, V.P., & Saha, S.K. (2004). Attribute based specification, comparison and selection of a robot. Mechanism and Machine Theory, 39(12), 1345-1366.
Brauers, W.K.M. (2004). Optimization Methods for a Stakeholder Society. A Revolution in Economic Thinking by Multiobjective Optimization. Boston : Kluwer Academic Publishers.
Brauers, W.K.M., & Zavadskas, E.K. (2006). The MOORA method and its application to privatization in a transition economy. Control and Cybernetics, 35(2), 445-469.
Brauers, W.K.M., & Zavadskas, E.K. (2009). Robustness of the multi-objective MOORA method with a test for the facilities sector. Technological and Economic Development of Economy, 15(2), 352-375.
Brauers, W.K.M., & Zavadskas, E.K. (2010). Project management by MULTIMOORA as an instrument for transition economies. Technological and Economic Development of Economy, 16(1), 5-24.
Brauers, W.K.M., & Zavadskas, E.K. (2011). MULTIMOORA optimization used to decide on a bank loan to buy property. Technological and Economic Development of Economy, 17(1), 174-188.
Butler, J., Jia, J., & Dyer, J. (1997). Simulation techniques for the sensitivity analysis of multi- criteria decision models, European Journal of Operational Research, 103(3), 531-546.
Caterino, N., Iervolino, I., Manfredi, G., & Cosenza, E. (2009). Comparative analysis of multi-criteria decision-making methods for seismic structural retrofitting. Computer-Aided Civil and Infrastructure Engineering, 24(4), 432-445.
Chai, J., Liu, J.N.K., & Ngai, E.W.T. (2013). Application of decision-making techniques in supplier selection: A systematic review of literature. Expert Systems with Applications, 40(10), 3847-4272.
Chakraborty, S. (2011). Applications of the MOORA method for decision making in manufacturing environment. International Journal of Advanced Manufacturing Technology, 54(9-12), 1155-1166.
Chakraborty, S., & Zavadskas, E.K. (2014). Applications of WASPAS method in manufacturing decision making. Informatica, 25(1), 1-20.
Charnes, A.Y., & Cooper, W.W. (1963). Deterministic equivalents for optimizing and satisfying under chance constraints. Operations Research, 11(1), 18-39.
Chatterjee, P., Athawale, V.M., & Chakraborty, S. (2011). Materials selection using complex proportional assessment and evaluation of mixed data methods. Materials & Design, 32(2), 851-860.
Chatterjee, P., & Chakraborty, S. (2012). Material selection using preferential ranking methods. Materials & Design, 35, 384-393.
D?jus, T., & Antuchevi?ien?, J. (2013). Assessment of health and safety solutions at a construction site. Journal of Civil Engineering and Management, 19(5), 728-737.
Fishburn, P.C. (1967). Additive utilities with incomplete product set: applications to priorities and assignments. Baltimore : Operations Research Society of America.
Hashemkhani Zolfani, S., Aghdaie, M.H., Derakhti, A., Zavadskas, E.K., & Varzandeh, M.H.M. (2013). Decision making on business issues with foresight perspective; an application of new hybrid MCDM model in shopping mall locating. Expert Systems with Applications, 40(17), 7111-7121.
Karande, P., & Chakraborty, S. (2012). Application of multi-objective optimization on the basis of ratio analysis (MOORA) method for materials selection. Materials & Design, 37, 317-324.
Karsak, E.E., Sener, Z., & Dursun, M. (2012). Robot selection using a fuzzy regression-based decision making approach. International Journal of Production Research, 50(23), 6826-6834.
Lourenzutti, R., & Krohling, R.A. (2013). A study of TODIM in a intuitionistic fuzzy and random environment. Expert Systems with Applications, 40(16), 6459-6488.
MacCrimon, K. R. (1968). Decision Making among Multiple Attribute Alternatives: A Survey and Consolidated Approach. Rand Memorandum, RM-4823-ARPA.
Mela, K., Tiainen, T., & Heinisuo, M. (2012). Comparative study of multiple criteria decision making methods for building design. Advanced Engineering Informatics, 26(4), 716-726.
Miller, D. W., & Starr, M. K. (1969). Executive Decisions and Operations Research. New Jersey : Prentice-Hall, Inc., Englewood Cliffs.
Mondal, S., & Chakraborty, S. (2013). A solution to robot selection problems using data envelopment analysis. International Journal of Industrial Engineering Computations, 4(3), 355-372.
Opricovic, S., & Tzeng, G-H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156(2), 445-455.
Parkan, C., & Wu, M-L. (2000). Comparison of three modern multicriteria decision-making tools. International Journal of Systems Science, 31(4), 497-517.
Peldschus, F. (2009) The analysis of the quality of the results obtained with the methods of multi?criteria decisions. Ukio Technologinis ir Ekonominis Vystymas, 15(4), 580-592.
Podvezko, V. (2011) The comparative analysis of MCDA methods SAW and COPRAS. In?inerin? ekonomika - Engineering economics, 2(22), 134-146.
Podvezko, V., & Sivilevi?ius, H. (2013). The use of AHP and rank correlation methods for determining the significance of the interaction between the elements of a transport system having a strong influence on traffic safety. Transport, 28(4), 389-403.
Raju, K.S., & Pillai, C.R.S. (1999). Multicriterion decision making in river basin planning and development. European Journal of Operational Research, 112(2), 249-257.
Rao, R.V. (2007). Decision Making in the Manufacturing Environment using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods. London : Springer-Verlag.
Ruzgys, A., Volva?iovas, R., Ignatavi?ius, ?., & Turskis, Z. (2014). Integrated evaluation of external wall insulation in residential buildings using SWARA-TODIM MCDM method. Journal of Civil Engineering and Management, 20(1), 103-110.
Salminen, P., Hokkanen, J., & Lahdelma, R. (1998). Comparing multicriteria methods in the context of environmental problems. European Journal of Operations Research, 104(3), 485-496.
?io?inyte, E., & Antuchevi?iene, J. (2013). Solving the problems of daylighting and tradition continuity in a reconstructed vernacular building. Journal of Civil Engineering and Management, 19(6), 873-882.
Stani?nas, M., Medineckien?, M., Zavadskas, E.K., & Kalibatas, D. (2013). To modernize or not: ecological - economical assessment of multi-dwelling houses modernization. Archives of Civil and Mechanical Engineering, 13(1), 88-98.
Streimikiene, D., Balezentis, T., Krisciukaitien?, I., & Balezentis, A. (2012). Prioritizing sustainable electricity production technologies: MCDM approach. Renewable and Sustainable Energy Reviews, 16(5), 3302-3311.
Tavana, M., Momeni, E., Rezaeiniya, N., Mirhedayatian, S.M., & Rezaeiniya, H. (2013). A novel hybrid social media platform selection model using fuzzy ANP and COPRAS-G. Expert Systems with Applications, 40(14), 5425-5786.
Triantaphyllou, E., & Mann, S. H. (1989). An examination of the effectiveness of multi-dimensional decision-making methods: a decision-making paradox. Decision Support Systems, 5(3), 303-312.
Triantaphyllou, E., & S?nchez, A. (1997). A sensitivity analysis approach for some deterministic multi-criteria decision-making methods. Decision Sciences, 28(1), 151-194.
Ustinovichius, L., & Simanaviciene, R. (2010). The sensitivity analysis for cooperative decision by TOPSIS method. In Luo, Y. (Ed.), (89-96) Berlin Heidelberg : Springer-Verlag.
Wierzbicki, A.P. (1982). A mathematical basis for satisfying decision making. Mathematical Modelling, 3(5), 391-405.
Zanakis, S.H., Solomon, A., Wishart, N., & Dublish, S. (1998). Multi-attribute decision making: A simulation comparison of select methods. European Journal of Operational Research, 107(3), 507-529.
Zavadskas, E.K., Zakarevicius, A., & Antucheviciene, J. (2006). Evaluation of ranking accuracy in multi-criteria decisions. Informatica, 17(4), 601-618.
Zavadskas, E.K., Turskis, Z., Antucheviciene, J., & Zakarevicius, A. (2012). Optimization of weighted aggregated sum product assessment. Elektronika ir Elektrotechnika, 122(6), 3-6.
Zavadskas, E.K., Antucheviciene, J., ?aparauskas, J., & Turskis, Z. (2013a). Multi-criteria assessment of facades’ alternatives: peculiarities of ranking methodology. Procedia Engineering, 57, 107-112.
Zavadskas, E.K., Antucheviciene, J., Saparauskas, J., & Turskis, Z. (2013b). MCDM methods WASPAS and MULTIMOORA: verification of robustness of methods when assessing alternative solutions. Economic Computation and Economic Cybernetics Studies and Research, 47(2), 5-20.