How to cite this paper
Rathi, R., Khanduja, D & Sharma, S. (2016). A fuzzy MADM approach for project selection: a six sigma case study.Decision Science Letters , 5(2), 255-268.
Refrences
Agalgaonkar, A., Kulkarni, S., & Khaparde, S. (2005). Multi-attribute decision making approach for strategic planning of DGs. Paper presented at the Power Engineering Society General Meeting, 2005. IEEE.
Anojkumar, L., Ilangkumaran, M., & Vignesh, M. (2015). A decision making methodology for material selection in sugar industry using hybrid MCDM techniques. International Journal of Materials and Product Technology, 51(2), 102-126.
Antony, J. (2006). Six sigma for service processes. Business Process Management Journal, 12(2), 234-248.
Aya?, Z., & ?zdemir, R. G. (2011). An intelligent approach to machine tool selection through fuzzy analytic network process. Journal of Intelligent Manufacturing, 22(2), 163-177.
Banuelas Coronado, R., & Antony, J. (2002). Critical success factors for the successful implementation of six sigma projects in organisations. The TQM magazine, 14(2), 92-99.
Banuelas, R., Tennant, C., Tuersley, I., & Tang, S. (2006). Selection of Six Sigma projects in the UK. The TQM Magazine, 18(5), 514-527.
Bellman, R. E., & Zadeh, L. A. (1970). Decision-making in a fuzzy environment. Management science, 17(4), B-141-B-164.
Bevilacqua, M., Ciarapica, F., & Giacchetta, G. (2006). A fuzzy-QFD approach to supplier selection. Journal of Purchasing and Supply Management, 12(1), 14-27.
Chakrabarty, A., & Chuan Tan, K. (2007). The current state of six sigma application in services. Managing Service Quality: An International Journal, 17(2), 194-208.
Chen, S.-J., & Hwang, C.-L. (1992). Fuzzy multiple attribute decision making methods: Springer.
De Boer, L., Labro, E., & Morlacchi, P. (2001). A review of methods supporting supplier selection. European Journal of Purchasing & Supply Management, 7(2), 75-89.
Dehghan-Manshadi, B., Mahmudi, H., Abedian, A., & Mahmudi, R. (2007). A novel method for materials selection in mechanical design: combination of non-linear normalization and a modified digital logic method. Materials & design, 28(1), 8-15.
Devi, K. (2011). Extension of VIKOR method in intuitionistic fuzzy environment for robot selection. Expert Systems with Applications, 38(11), 14163-14168.
Fundin, A., & Cronemyr, P. (2003). Use customer feedback to choose Six Sigma projects.
Gijo, E., & Scaria, J. (2014). Process improvement through Six Sigma with Beta correction: a case study of manufacturing company. The International Journal of Advanced Manufacturing Technology, 71(1-4), 717-730.
Goh, T. N. (2002). A strategic assessment of Six Sigma. Quality and Reliability Engineering International, 18(5), 403-410.
Gwo-Hshiung, T. (2010). Multiple attribute decision making: methods and applications. Multiple Attribute Decision Making: Methods and Applications.
Hensley, R. L., & Dobie, K. (2005). Assessing readiness for six sigma in a service setting. Managing Service Quality: An International Journal, 15(1), 82-101.
Johannsen, F., Leist, S., & Zellner, G. (2011). Six sigma as a business process management method in services: analysis of the key application problems. Information Systems and E-Business Management, 9(3), 307-332.
Linderman, K., Schroeder, R. G., Zaheer, S., & Choo, A. S. (2003). Six Sigma: a goal-theoretic perspective. Journal of Operations management, 21(2), 193-203.
Mahdavi-Amiri, N., & Nasseri, S. (2007). Duality results and a dual simplex method for linear programming problems with trapezoidal fuzzy variables. Fuzzy sets and systems, 158(17), 1961-1978.
Modarres, M., & Sadi-Nezhad, S. (2005). Fuzzy simple additive weighting method by preference ratio. Intelligent Automation & Soft Computing, 11(4), 235-244.
Nguyen, H.-T., Dawal, S. Z. M., Nukman, Y., & Aoyama, H. (2014). A hybrid approach for fuzzy multi-attribute decision making in machine tool selection with consideration of the interactions of attributes. Expert Systems with Applications, 41(6), 3078-3090.
Olson, D. L. (2004). Comparison of weights in TOPSIS models. Mathematical and Computer Modelling, 40(7–8), 721-727. doi: http://dx.doi.org/10.1016/j.mcm.2004.10.003
?nüt, S., Soner Kara, S., & Efendigil, T. (2008). A hybrid fuzzy MCDM approach to machine tool selection. Journal of Intelligent Manufacturing, 19(4), 443-453.
?nüt, S., & Soner, S. (2008). Transshipment site selection using the AHP and TOPSIS approaches under fuzzy environment. Waste Management, 28(9), 1552-1559.
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.
Rathi, R., Khanduja, D., & Sharma, S. (2015). Synergy of fuzzy AHP and Six Sigma for capacity waste management in Indian automotive industry. Decision Science Letters, 4(3), 441-452.
Ribeiro, R. A. (1996). Fuzzy multiple attribute decision making: a review and new preference elicitation techniques. Fuzzy sets and systems, 78(2), 155-181.
San Crist?bal, J. (2011). Multi-criteria decision-making in the selection of a renewable energy project in spain: The Vikor method. Renewable energy, 36(2), 498-502.
Shemshadi, A., Shirazi, H., Toreihi, M., & Tarokh, M. J. (2011). A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting. Expert Systems with Applications, 38(10), 12160-12167.
Snee, R. D. (2004). Six–Sigma: the evolution of 100 years of business improvement methodology. International Journal of Six Sigma and Competitive Advantage, 1(1), 4-20.
Snee, R. D., & Hoerl, R. W. (2003). Leading Six Sigma: a step-by-step guide based on experience with GE and other Six Sigma companies: Ft Press.
Su, C.-T., & Chou, C.-J. (2008). A systematic methodology for the creation of Six Sigma projects: A case study of semiconductor foundry. Expert Systems with Applications, 34(4), 2693-2703.
Tang, L. C., Goh, T. N., Lam, S. W., & Zhang, C. W. (2007). Fortification of Six Sigma: expanding the DMAIC toolset. Quality and Reliability Engineering International, 23(1), 3-18.
Tong, L.-I., Chen, C.-C., & Wang, C.-H. (2007). Optimization of multi-response processes using the VIKOR method. The International Journal of Advanced Manufacturing Technology, 31(11-12), 1049-1057.
Treichler, D., CARMICHAEL, B., Kusmanoff, A., Lewis, J., & Berthiez, G. (2002). Design for Six Sigma: 15 lessons learned. Quality Progress, 35(1), 33-42.
Vats, G., & Vaish, R. (2013). Piezoelectric material selection for transducers under fuzzy environment. Journal of Advanced Ceramics, 2(2), 141-148.
Wang, M., Liu, S., Wang, S., & Lai, K. K. (2010). A weighted product method for bidding strategies in multi-attribute auctions. Journal of Systems Science and Complexity, 23(1), 194-208.
Wang, Y.-M., & Elhag, T. M. S. (2006). Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment. Expert Systems with Applications, 31(2), 309-319. doi: http://dx.doi.org/10.1016/j.eswa.2005.09.040
Wu, M., & Liu, Z. (2011). The supplier selection application based on two methods: VIKOR algorithm with entropy method and Fuzzy TOPSIS with vague sets method. International Journal of Management Science and Engineering Management, 6(2), 109-115.
Yong, D. (2006). Plant location selection based on fuzzy TOPSIS. The International Journal of Advanced Manufacturing Technology, 28(7-8), 839-844.
Yoon, K. P., & Hwang, C.-L. (1995). Multiple attribute decision making: an introduction (Vol. 104): Sage Publications.
Zadeh, L. A. (1965). Fuzzy sets. Information and control, 8(3), 338-353.
Zadeh, L. A. (1975). The concept of a linguistic variable and its application to approximate reasoning—I. Information sciences, 8(3), 199-249.
Zeng, Q.-L., Li, D.-D., & Yang, Y.-B. (2013). VIKOR method with enhanced accuracy for multiple criteria decision making in healthcare management. Journal of medical systems, 37(2), 1-9.
Zhang, D., Zhang, J., Lai, K.-K., & Lu, Y. (2009). An novel approach to supplier selection based on vague sets group decision. Expert Systems with Applications, 36(5), 9557-9563.
Anojkumar, L., Ilangkumaran, M., & Vignesh, M. (2015). A decision making methodology for material selection in sugar industry using hybrid MCDM techniques. International Journal of Materials and Product Technology, 51(2), 102-126.
Antony, J. (2006). Six sigma for service processes. Business Process Management Journal, 12(2), 234-248.
Aya?, Z., & ?zdemir, R. G. (2011). An intelligent approach to machine tool selection through fuzzy analytic network process. Journal of Intelligent Manufacturing, 22(2), 163-177.
Banuelas Coronado, R., & Antony, J. (2002). Critical success factors for the successful implementation of six sigma projects in organisations. The TQM magazine, 14(2), 92-99.
Banuelas, R., Tennant, C., Tuersley, I., & Tang, S. (2006). Selection of Six Sigma projects in the UK. The TQM Magazine, 18(5), 514-527.
Bellman, R. E., & Zadeh, L. A. (1970). Decision-making in a fuzzy environment. Management science, 17(4), B-141-B-164.
Bevilacqua, M., Ciarapica, F., & Giacchetta, G. (2006). A fuzzy-QFD approach to supplier selection. Journal of Purchasing and Supply Management, 12(1), 14-27.
Chakrabarty, A., & Chuan Tan, K. (2007). The current state of six sigma application in services. Managing Service Quality: An International Journal, 17(2), 194-208.
Chen, S.-J., & Hwang, C.-L. (1992). Fuzzy multiple attribute decision making methods: Springer.
De Boer, L., Labro, E., & Morlacchi, P. (2001). A review of methods supporting supplier selection. European Journal of Purchasing & Supply Management, 7(2), 75-89.
Dehghan-Manshadi, B., Mahmudi, H., Abedian, A., & Mahmudi, R. (2007). A novel method for materials selection in mechanical design: combination of non-linear normalization and a modified digital logic method. Materials & design, 28(1), 8-15.
Devi, K. (2011). Extension of VIKOR method in intuitionistic fuzzy environment for robot selection. Expert Systems with Applications, 38(11), 14163-14168.
Fundin, A., & Cronemyr, P. (2003). Use customer feedback to choose Six Sigma projects.
Gijo, E., & Scaria, J. (2014). Process improvement through Six Sigma with Beta correction: a case study of manufacturing company. The International Journal of Advanced Manufacturing Technology, 71(1-4), 717-730.
Goh, T. N. (2002). A strategic assessment of Six Sigma. Quality and Reliability Engineering International, 18(5), 403-410.
Gwo-Hshiung, T. (2010). Multiple attribute decision making: methods and applications. Multiple Attribute Decision Making: Methods and Applications.
Hensley, R. L., & Dobie, K. (2005). Assessing readiness for six sigma in a service setting. Managing Service Quality: An International Journal, 15(1), 82-101.
Johannsen, F., Leist, S., & Zellner, G. (2011). Six sigma as a business process management method in services: analysis of the key application problems. Information Systems and E-Business Management, 9(3), 307-332.
Linderman, K., Schroeder, R. G., Zaheer, S., & Choo, A. S. (2003). Six Sigma: a goal-theoretic perspective. Journal of Operations management, 21(2), 193-203.
Mahdavi-Amiri, N., & Nasseri, S. (2007). Duality results and a dual simplex method for linear programming problems with trapezoidal fuzzy variables. Fuzzy sets and systems, 158(17), 1961-1978.
Modarres, M., & Sadi-Nezhad, S. (2005). Fuzzy simple additive weighting method by preference ratio. Intelligent Automation & Soft Computing, 11(4), 235-244.
Nguyen, H.-T., Dawal, S. Z. M., Nukman, Y., & Aoyama, H. (2014). A hybrid approach for fuzzy multi-attribute decision making in machine tool selection with consideration of the interactions of attributes. Expert Systems with Applications, 41(6), 3078-3090.
Olson, D. L. (2004). Comparison of weights in TOPSIS models. Mathematical and Computer Modelling, 40(7–8), 721-727. doi: http://dx.doi.org/10.1016/j.mcm.2004.10.003
?nüt, S., Soner Kara, S., & Efendigil, T. (2008). A hybrid fuzzy MCDM approach to machine tool selection. Journal of Intelligent Manufacturing, 19(4), 443-453.
?nüt, S., & Soner, S. (2008). Transshipment site selection using the AHP and TOPSIS approaches under fuzzy environment. Waste Management, 28(9), 1552-1559.
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.
Rathi, R., Khanduja, D., & Sharma, S. (2015). Synergy of fuzzy AHP and Six Sigma for capacity waste management in Indian automotive industry. Decision Science Letters, 4(3), 441-452.
Ribeiro, R. A. (1996). Fuzzy multiple attribute decision making: a review and new preference elicitation techniques. Fuzzy sets and systems, 78(2), 155-181.
San Crist?bal, J. (2011). Multi-criteria decision-making in the selection of a renewable energy project in spain: The Vikor method. Renewable energy, 36(2), 498-502.
Shemshadi, A., Shirazi, H., Toreihi, M., & Tarokh, M. J. (2011). A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting. Expert Systems with Applications, 38(10), 12160-12167.
Snee, R. D. (2004). Six–Sigma: the evolution of 100 years of business improvement methodology. International Journal of Six Sigma and Competitive Advantage, 1(1), 4-20.
Snee, R. D., & Hoerl, R. W. (2003). Leading Six Sigma: a step-by-step guide based on experience with GE and other Six Sigma companies: Ft Press.
Su, C.-T., & Chou, C.-J. (2008). A systematic methodology for the creation of Six Sigma projects: A case study of semiconductor foundry. Expert Systems with Applications, 34(4), 2693-2703.
Tang, L. C., Goh, T. N., Lam, S. W., & Zhang, C. W. (2007). Fortification of Six Sigma: expanding the DMAIC toolset. Quality and Reliability Engineering International, 23(1), 3-18.
Tong, L.-I., Chen, C.-C., & Wang, C.-H. (2007). Optimization of multi-response processes using the VIKOR method. The International Journal of Advanced Manufacturing Technology, 31(11-12), 1049-1057.
Treichler, D., CARMICHAEL, B., Kusmanoff, A., Lewis, J., & Berthiez, G. (2002). Design for Six Sigma: 15 lessons learned. Quality Progress, 35(1), 33-42.
Vats, G., & Vaish, R. (2013). Piezoelectric material selection for transducers under fuzzy environment. Journal of Advanced Ceramics, 2(2), 141-148.
Wang, M., Liu, S., Wang, S., & Lai, K. K. (2010). A weighted product method for bidding strategies in multi-attribute auctions. Journal of Systems Science and Complexity, 23(1), 194-208.
Wang, Y.-M., & Elhag, T. M. S. (2006). Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment. Expert Systems with Applications, 31(2), 309-319. doi: http://dx.doi.org/10.1016/j.eswa.2005.09.040
Wu, M., & Liu, Z. (2011). The supplier selection application based on two methods: VIKOR algorithm with entropy method and Fuzzy TOPSIS with vague sets method. International Journal of Management Science and Engineering Management, 6(2), 109-115.
Yong, D. (2006). Plant location selection based on fuzzy TOPSIS. The International Journal of Advanced Manufacturing Technology, 28(7-8), 839-844.
Yoon, K. P., & Hwang, C.-L. (1995). Multiple attribute decision making: an introduction (Vol. 104): Sage Publications.
Zadeh, L. A. (1965). Fuzzy sets. Information and control, 8(3), 338-353.
Zadeh, L. A. (1975). The concept of a linguistic variable and its application to approximate reasoning—I. Information sciences, 8(3), 199-249.
Zeng, Q.-L., Li, D.-D., & Yang, Y.-B. (2013). VIKOR method with enhanced accuracy for multiple criteria decision making in healthcare management. Journal of medical systems, 37(2), 1-9.
Zhang, D., Zhang, J., Lai, K.-K., & Lu, Y. (2009). An novel approach to supplier selection based on vague sets group decision. Expert Systems with Applications, 36(5), 9557-9563.