How to cite this paper
Koganti, V., Menikonda, N., Anbuudayasankar, S., Krishnaraj, T., Athhukuri, R & Vastav, M. (2019). GRAHP TOP model for supplier selection in Supply Chain: A hybrid MCDM approach.Decision Science Letters , 8(1), 65-80.
Refrences
Adalı, E., Işık, A & Kundakcı, K. (2016). An alternative approach based on Fuzzy PROMETHEE method for the supplier selection problem.Uncertain Supply Chain Management, 4(3), 183-194.
Agarwal, P., Sahai, M., Mishra, V., Bag, M., & Singh, V. (2011). A review of multi-criteria decision making techniques for supplier evaluation and selection. International journal of industrial engineering computations, 2(4), 801-810.
Akman, G. (2015). Evaluating suppliers to include green supplier development programs via fuzzy c-means and VIKOR methods. Computers & industrial engineering, 86, 69-82.
Awasthi, A., & Kannan, G. (2016). Green supplier development program selection using NGT and VIKOR under fuzzy environment. Computers & Industrial Engineering, 91, 100-108.
Azimifard, A., Moosavirad, S. H., & Ariafar, S. (2018). Selecting sustainable supplier countries for Iran's steel industry at three levels by using AHP and TOPSIS methods. Resources Policy.
Banaeian, N., Mobli, H., Fahimnia, B., Nielsen, I. E., & Omid, M. (2018). Green supplier selection using fuzzy group decision making methods: A case study from the agri-food industry. Computers & Operations Research, 89, 337-347.
Belenson, S. M., & Kapur, K. C. (1973). An algorithm for solving multicriterion linear programming problems with examples. Journal of the Operational Research Society, 24(1), 65-77.
Busch, G. (1962). New twist on supplier evaluation. Journal of Purchasing, 55(1), 102-103.
Büyüközkan, G., & Çifçi, G. (2012). A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers. Expert Systems with Applications, 39(3), 3000-3011.
Chai, J., Liu, J. N., & Ngai, E. W. (2013). Application of decision-making techniques in supplier selection: A systematic review of literature. Expert Systems with Applications, 40(10), 3872-3885.
Chen, M. F., & Tzeng, G. H. (2004). Combining grey relation and TOPSIS concepts for selecting an expatriate host country. Mathematical and Computer Modelling, 40(13), 1473-1490.
Cheng, S., Chan, C. W., & Huang, G. H. (2002). Using multiple criteria decision analysis for supporting decisions of solid waste management. Journal of Environmental Science and Health, Part A, 37(6), 975-990.
Deng, X., Hu, Y., Deng, Y., & Mahadevan, S. (2014). Supplier selection using AHP methodology extended by D numbers. Expert Systems with Applications, 41(1), 156-167.
Dickson, G. W. (1966). An analysis of vendor selection systems and decisions. Journal of purchasing, 2(1), 5-17.
Galankashi, M. R., Helmi, S. A., & Hashemzahi, P. (2016). Supplier selection in automobile industry: A mixed balanced scorecard–fuzzy AHP approach. Alexandria Engineering Journal, 55(1), 93-100.
Govindan, K., Rajendran, S., Sarkis, J., & Murugesan, P. (2015). Multi criteria decision making approaches for green supplier evaluation and selection: a literature review. Journal of Cleaner Production, 98, 66-83.
Govindan, K., & Jepsen, M. B. (2016). ELECTRE: A comprehensive literature review on methodologies and applications. European Journal of Operational Research, 250(1), 1-29.
Gupta, H., & Barua, M. K. (2017). Supplier selection among SMEs on the basis of their green innovation ability using BWM and fuzzy TOPSIS. Journal of Cleaner Production, 152, 242-258.
Hamdan, S., & Cheaitou, A. (2017). Supplier selection and order allocation with green criteria: An MCDM and multi-objective optimization approach. Computers & Operations Research, 81, 282-304.
Hwang, C. L., & Yoon, K. (1981). Methods for multiple attribute decision making. Multiple Attribute Decision Making (pp. 58-191).
Ho, W., Xu, X., & Dey, P. K. (2010). Multi-criteria decision making approaches for supplier evaluation and selection: A literature review. European Journal of operational research, 202(1), 16-24.
Janic, M. (2003). Multicriteria evaluation of high-speed rail, transrapid maglev and air passenger transport in Europe. Transportation Planning and Technology, 26(6), 491-512.
Junior, F. R. L., Osiro, L., & Carpinetti, L. C. R. (2014). A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection. Applied Soft Computing, 21, 194-209.
Kim, G., Park, C. S., & Yoon, K. P. (1997). Identifying investment opportunities for advanced manufacturing systems with comparative-integrated performance measurement. International Journal of Production Economics, 50(1), 23-33.
Kwong, C. K., & Tam, S. M. (2002). Case-based reasoning approach to concurrent design of low power transformers. Journal of Materials Processing Technology, 128(1-3), 136-141.
Lima-Junior, F. R., & Carpinetti, L. C. R. (2016). Combining SCOR® model and fuzzy TOPSIS for supplier evaluation and management. International Journal of Production Economics, 174, 128-141.
Mangla, S. K., Kumar, P., & Barua, M. K. (2015a). Risk analysis in green supply chain using fuzzy AHP approach: A case study. Resources, Conservation and Recycling, 104, 375-390.
Mangla, S. K., Kumar, P., & Barua, M. K. (2015b). Flexible decision modeling for evaluating the risks in green supply chain using fuzzy AHP and IRP methodologies. Global Journal of Flexible Systems Management, 16(1), 19-35.
Mardani, A., Jusoh, A., MD Nor, K., Khalifah, Z., Zakwan, N., & Valipour, A. (2015a). Multiple criteria decision-making techniques and their applications–a review of the literature from 2000 to 2014. Economic Research-Ekonomska Istraživanja, 28(1), 516-571.
Mardani, A., Jusoh, A., & Zavadskas, E. K. (2015b). Fuzzy multiple criteria decision-making techniques and applications–Two decades review from 1994 to 2014. Expert Systems with Applications, 42(8), 4126-4148.
Milani, A. S., Shanian, A., Madoliat, R., & Nemes, J. A. (2005). The effect of normalization norms in multiple attribute decision making models: a case study in gear material selection. Structural and multidisciplinary optimization, 29(4), 312-318.
Mwikali, R., & Kavale, S. (2012). Factors affecting the selection of optimal suppliers in procurement management. International journal of Humanities and Social science, 2(14), 189-193.
Peng, J. (2012). Selection of logistics outsourcing service suppliers based on AHP. Energy Procedia, 17, 595-601.
Petrudi, S., Abdi, M & Goh, M. (2018). An integrated approach to evaluate suppliers in a sustainable supply chain.Uncertain Supply Chain Management, 6(4), 423-444.
Polat, G., & Eray, E. (2015). An integrated approach using AHP-ER to supplier selection in railway projects. Procedia Engineering, 123, 415-422.
Prasad, K., Subbaiah, K & Prasad, M. (2017). Supplier evaluation and selection through DEA-AHP-GRA integrated approach- A case study.Uncertain Supply Chain Management, 5(4), 369-382.
Renganath, K., & Suresh, M. (2016, December). Supplier selection using fuzzy MCDM techniques: A literature review. In Computational Intelligence and Computing Research (ICCIC), 2016 IEEE International Conference on (pp. 1-6). IEEE.
Rezaei, J., Fahim, P. B., & Tavasszy, L. (2014). Supplier selection in the airline retail industry using a funnel methodology: Conjunctive screening method and fuzzy AHP. Expert Systems with Applications, 41(18), 8165-8179.
Rouyendegh, B. D., & Saputro, T. E. (2014). Supplier selection using integrated fuzzy TOPSIS and MCGP: a case study. Procedia-Social and Behavioral Sciences, 116, 3957-3970.
Saaty, T. L. (1980). The analytic hierarchy process: planning, priority setting, resources allocation. New York: McGraw, 281.
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.
Singh, H., Garg, R & Sachdeva, A. (2018). Supply chain collaboration: A state-of-the-art literature review.Uncertain Supply Chain Management, 6(2), 149-180.
Srdjevic, B., Medeiros, Y. D. P., & Faria, A. S. (2004). An objective multi-criteria evaluation of water management scenarios. Water resources management, 18(1), 35-54.
Mohanavelu, T., Krishnaswamy, R., & Marimuthu, P. (2017). Simulation modelling and development of analytic hierarchy process-based priority dispatching rule for a dynamic press shop. International Journal of Industrial and Systems Engineering, 27(3), 340-364.
Vaidya, O. S., & Kumar, S. (2006). Analytic hierarchy process: An overview of applications. European Journal of operational research, 169(1), 1-29.
Wan, Z., & Beil, D. R. (2009). RFQ auctions with supplier qualification screening. Operations Research, 57(4), 934-949.
Weber, C. A., Current, J. R., & Benton, W. C. (1991). Vendor selection criteria and methods. European journal of operational research, 50(1), 2-18.
Yang, T., & Chou, P. (2005). Solving a multiresponse simulation-optimization problem with discrete variables using a multiple-attribute decision-making method. Mathematics and Computers in simulation, 68(1), 9-21.
Yazdani, M. (2014). An integrated MCDM approach to green supplier selection. International Journal of Industrial Engineering Computations, 5(3), 443-458.
Yoon, K., & Hwang, C. L. (1985). Manufacturing plant location analysis by multiple attribute decision making: Part I—single-plant strategy. International Journal of Production Research, 23(2), 345-359.
Zare, M., Pahl, C., Rahnama, H., Nilashi, M., Mardani, A., Ibrahim, O., & Ahmadi, H. (2016). Multi-criteria decision making approach in E-learning: A systematic review and classification. Applied Soft Computing, 45, 108-128.
Zavadskas, E. K., Antucheviciene, J., Turskis, Z., & Adeli, H. (2016). Hybrid multiple-criteria decision-making methods: A review of applications in engineering. Scientia Iranica. Transaction A, Civil Engineering, 23(1), 1.
Zelany, M. (1974). A concept of compromise solutions and the method of the displaced ideal. Computers & Operations Research, 1(3-4), 479-496.
Agarwal, P., Sahai, M., Mishra, V., Bag, M., & Singh, V. (2011). A review of multi-criteria decision making techniques for supplier evaluation and selection. International journal of industrial engineering computations, 2(4), 801-810.
Akman, G. (2015). Evaluating suppliers to include green supplier development programs via fuzzy c-means and VIKOR methods. Computers & industrial engineering, 86, 69-82.
Awasthi, A., & Kannan, G. (2016). Green supplier development program selection using NGT and VIKOR under fuzzy environment. Computers & Industrial Engineering, 91, 100-108.
Azimifard, A., Moosavirad, S. H., & Ariafar, S. (2018). Selecting sustainable supplier countries for Iran's steel industry at three levels by using AHP and TOPSIS methods. Resources Policy.
Banaeian, N., Mobli, H., Fahimnia, B., Nielsen, I. E., & Omid, M. (2018). Green supplier selection using fuzzy group decision making methods: A case study from the agri-food industry. Computers & Operations Research, 89, 337-347.
Belenson, S. M., & Kapur, K. C. (1973). An algorithm for solving multicriterion linear programming problems with examples. Journal of the Operational Research Society, 24(1), 65-77.
Busch, G. (1962). New twist on supplier evaluation. Journal of Purchasing, 55(1), 102-103.
Büyüközkan, G., & Çifçi, G. (2012). A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers. Expert Systems with Applications, 39(3), 3000-3011.
Chai, J., Liu, J. N., & Ngai, E. W. (2013). Application of decision-making techniques in supplier selection: A systematic review of literature. Expert Systems with Applications, 40(10), 3872-3885.
Chen, M. F., & Tzeng, G. H. (2004). Combining grey relation and TOPSIS concepts for selecting an expatriate host country. Mathematical and Computer Modelling, 40(13), 1473-1490.
Cheng, S., Chan, C. W., & Huang, G. H. (2002). Using multiple criteria decision analysis for supporting decisions of solid waste management. Journal of Environmental Science and Health, Part A, 37(6), 975-990.
Deng, X., Hu, Y., Deng, Y., & Mahadevan, S. (2014). Supplier selection using AHP methodology extended by D numbers. Expert Systems with Applications, 41(1), 156-167.
Dickson, G. W. (1966). An analysis of vendor selection systems and decisions. Journal of purchasing, 2(1), 5-17.
Galankashi, M. R., Helmi, S. A., & Hashemzahi, P. (2016). Supplier selection in automobile industry: A mixed balanced scorecard–fuzzy AHP approach. Alexandria Engineering Journal, 55(1), 93-100.
Govindan, K., Rajendran, S., Sarkis, J., & Murugesan, P. (2015). Multi criteria decision making approaches for green supplier evaluation and selection: a literature review. Journal of Cleaner Production, 98, 66-83.
Govindan, K., & Jepsen, M. B. (2016). ELECTRE: A comprehensive literature review on methodologies and applications. European Journal of Operational Research, 250(1), 1-29.
Gupta, H., & Barua, M. K. (2017). Supplier selection among SMEs on the basis of their green innovation ability using BWM and fuzzy TOPSIS. Journal of Cleaner Production, 152, 242-258.
Hamdan, S., & Cheaitou, A. (2017). Supplier selection and order allocation with green criteria: An MCDM and multi-objective optimization approach. Computers & Operations Research, 81, 282-304.
Hwang, C. L., & Yoon, K. (1981). Methods for multiple attribute decision making. Multiple Attribute Decision Making (pp. 58-191).
Ho, W., Xu, X., & Dey, P. K. (2010). Multi-criteria decision making approaches for supplier evaluation and selection: A literature review. European Journal of operational research, 202(1), 16-24.
Janic, M. (2003). Multicriteria evaluation of high-speed rail, transrapid maglev and air passenger transport in Europe. Transportation Planning and Technology, 26(6), 491-512.
Junior, F. R. L., Osiro, L., & Carpinetti, L. C. R. (2014). A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection. Applied Soft Computing, 21, 194-209.
Kim, G., Park, C. S., & Yoon, K. P. (1997). Identifying investment opportunities for advanced manufacturing systems with comparative-integrated performance measurement. International Journal of Production Economics, 50(1), 23-33.
Kwong, C. K., & Tam, S. M. (2002). Case-based reasoning approach to concurrent design of low power transformers. Journal of Materials Processing Technology, 128(1-3), 136-141.
Lima-Junior, F. R., & Carpinetti, L. C. R. (2016). Combining SCOR® model and fuzzy TOPSIS for supplier evaluation and management. International Journal of Production Economics, 174, 128-141.
Mangla, S. K., Kumar, P., & Barua, M. K. (2015a). Risk analysis in green supply chain using fuzzy AHP approach: A case study. Resources, Conservation and Recycling, 104, 375-390.
Mangla, S. K., Kumar, P., & Barua, M. K. (2015b). Flexible decision modeling for evaluating the risks in green supply chain using fuzzy AHP and IRP methodologies. Global Journal of Flexible Systems Management, 16(1), 19-35.
Mardani, A., Jusoh, A., MD Nor, K., Khalifah, Z., Zakwan, N., & Valipour, A. (2015a). Multiple criteria decision-making techniques and their applications–a review of the literature from 2000 to 2014. Economic Research-Ekonomska Istraživanja, 28(1), 516-571.
Mardani, A., Jusoh, A., & Zavadskas, E. K. (2015b). Fuzzy multiple criteria decision-making techniques and applications–Two decades review from 1994 to 2014. Expert Systems with Applications, 42(8), 4126-4148.
Milani, A. S., Shanian, A., Madoliat, R., & Nemes, J. A. (2005). The effect of normalization norms in multiple attribute decision making models: a case study in gear material selection. Structural and multidisciplinary optimization, 29(4), 312-318.
Mwikali, R., & Kavale, S. (2012). Factors affecting the selection of optimal suppliers in procurement management. International journal of Humanities and Social science, 2(14), 189-193.
Peng, J. (2012). Selection of logistics outsourcing service suppliers based on AHP. Energy Procedia, 17, 595-601.
Petrudi, S., Abdi, M & Goh, M. (2018). An integrated approach to evaluate suppliers in a sustainable supply chain.Uncertain Supply Chain Management, 6(4), 423-444.
Polat, G., & Eray, E. (2015). An integrated approach using AHP-ER to supplier selection in railway projects. Procedia Engineering, 123, 415-422.
Prasad, K., Subbaiah, K & Prasad, M. (2017). Supplier evaluation and selection through DEA-AHP-GRA integrated approach- A case study.Uncertain Supply Chain Management, 5(4), 369-382.
Renganath, K., & Suresh, M. (2016, December). Supplier selection using fuzzy MCDM techniques: A literature review. In Computational Intelligence and Computing Research (ICCIC), 2016 IEEE International Conference on (pp. 1-6). IEEE.
Rezaei, J., Fahim, P. B., & Tavasszy, L. (2014). Supplier selection in the airline retail industry using a funnel methodology: Conjunctive screening method and fuzzy AHP. Expert Systems with Applications, 41(18), 8165-8179.
Rouyendegh, B. D., & Saputro, T. E. (2014). Supplier selection using integrated fuzzy TOPSIS and MCGP: a case study. Procedia-Social and Behavioral Sciences, 116, 3957-3970.
Saaty, T. L. (1980). The analytic hierarchy process: planning, priority setting, resources allocation. New York: McGraw, 281.
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.
Singh, H., Garg, R & Sachdeva, A. (2018). Supply chain collaboration: A state-of-the-art literature review.Uncertain Supply Chain Management, 6(2), 149-180.
Srdjevic, B., Medeiros, Y. D. P., & Faria, A. S. (2004). An objective multi-criteria evaluation of water management scenarios. Water resources management, 18(1), 35-54.
Mohanavelu, T., Krishnaswamy, R., & Marimuthu, P. (2017). Simulation modelling and development of analytic hierarchy process-based priority dispatching rule for a dynamic press shop. International Journal of Industrial and Systems Engineering, 27(3), 340-364.
Vaidya, O. S., & Kumar, S. (2006). Analytic hierarchy process: An overview of applications. European Journal of operational research, 169(1), 1-29.
Wan, Z., & Beil, D. R. (2009). RFQ auctions with supplier qualification screening. Operations Research, 57(4), 934-949.
Weber, C. A., Current, J. R., & Benton, W. C. (1991). Vendor selection criteria and methods. European journal of operational research, 50(1), 2-18.
Yang, T., & Chou, P. (2005). Solving a multiresponse simulation-optimization problem with discrete variables using a multiple-attribute decision-making method. Mathematics and Computers in simulation, 68(1), 9-21.
Yazdani, M. (2014). An integrated MCDM approach to green supplier selection. International Journal of Industrial Engineering Computations, 5(3), 443-458.
Yoon, K., & Hwang, C. L. (1985). Manufacturing plant location analysis by multiple attribute decision making: Part I—single-plant strategy. International Journal of Production Research, 23(2), 345-359.
Zare, M., Pahl, C., Rahnama, H., Nilashi, M., Mardani, A., Ibrahim, O., & Ahmadi, H. (2016). Multi-criteria decision making approach in E-learning: A systematic review and classification. Applied Soft Computing, 45, 108-128.
Zavadskas, E. K., Antucheviciene, J., Turskis, Z., & Adeli, H. (2016). Hybrid multiple-criteria decision-making methods: A review of applications in engineering. Scientia Iranica. Transaction A, Civil Engineering, 23(1), 1.
Zelany, M. (1974). A concept of compromise solutions and the method of the displaced ideal. Computers & Operations Research, 1(3-4), 479-496.