How to cite this paper
Mabrouk, N. (2021). Green supplier selection using fuzzy Delphi method for developing sustainable supply chain.Decision Science Letters , 10(1), 63-70.
Refrences
Almasi, M., Khoshfetrat, S., & Rahiminezhad Galankashi, M. (2019). Sustainable Supplier Selection and Order Allocation Under Risk and Inflation Condition. IEEE Transactions on Engineering Management, 1-15.
Arabsheybani, A., Paydar, M. M., & Safaei, A. S. (2018). An integrated fuzzy MOORA method and FMEA technique for sustainable supplier selection considering quantity discounts and supplier’s risk. Journal of Cleaner Production, 190, 577–591.
Bakeshlou, E. A., Khamseh, A. A., Asl, M. A. G., Sadeghi, J., & Abbaszadeh, M. (2014). Evaluating a green supplier selection problem using a hybrid MODM algorithm. Journal of Intelligent Manufacturing, 28(4), 913–927.
Ben Mabrouk, N. (2020). Interpretive structural modeling of critical factors for buyer-supplier partnerships in supply chain management. Uncertain Supply Chain Management, 8(3), 613-626.
Ben Mabrouk, N., Omri, A., & Jarraya, B. (2020). Factors influencing the performance of supply chain management in Saudi SMEs. Uncertain Supply Chain Management, 8(3), 569-578.
Bouzon, M., Govindan, K., Rodriguez, C. M. T., & Campos, L. M. S. (2016). Identification and analysis of reverse logistics barriers using fuzzy Delphi method and AHP. Resources, Conservation and Recycling, 108, 182–198.
Chang, B., Chang, C.W., & Wu, C.H. (2011). Fuzzy DEMATEL method for developing supplier selection criteria. Expert Systems with Applications, 38(3), 1850–1858.
Chang, P.L., Hsu, C.W., & Chang, P.C. (2011). Fuzzy Delphi method for evaluating hydrogen production technologies. International Journal of Hydrogen Energy, 36(21), 14172–14179.
Dobos, I., & Vörösmarty, G. (2014). Green supplier selection and evaluation using DEA-type composite indicators. International Journal of Production Economics, 157, 273–278.
Ecer, F. (2020). Multi-criteria decision making for green supplier selection using interval type-2 fuzzy AHP: a case study of a home appliance manufacturer. Operational Research, 1-35.
Fallahpour, A., Olugu, E., Musa, S., Khezrimotlagh, D., & Wong, K. (2016). An integrated model for green supplier selection under fuzzy environment: Application of data envelopment analysis and genetic programming approach. Neural Computing and Applications, 27, 707–725.
Ghadimi, P., Dargi, A., & Heavey, C. (2017). Making sustainable sourcing decisions: practical evidence from the automotive industry. International Journal of Logistics Research and Applications, 20(4), 297–321.
Gupta, S., Soni, U., & Kumar, G. (2019). Green supplier selection using multi-criterion decision making under fuzzy environment: A case study in automotive industry. Computers & Industrial Engineering, 136, 663-680.
Ishikawa, A., Amagasa, M., Shiga, T., Tomizawa, G., Tatsuta, R., Mieno, H., 1993. The max-min Delphi method and fuzzy Delphi method via fuzzy integration. Fuzzy Sets and Systems, 55(3), 241–253.
Kardaras, D. K., Karakostas, B., & Mamakou, X. J. (2013). Content presentation personalization and media adaptation in tourism web sites using Fuzzy Delphi Method and Fuzzy Cognitive Maps. Expert Systems with Applications, 40(6), 2331-2342.
Keliji, B. P. , Abadi, B. S. D., & Abedini, M. (2018). Investigating readiness in the Iranian steel industry through six sigma combined with fuzzy delphi and fuzzy DANP. Decision Science Letters, 7, 465–480.
Kilic, H. S., & Yalcin, A. S. (2020). Modified two-phase fuzzy goal programming integrated with IF-TOPSIS for green supplier selection. Applied Soft Computing, 106371.
Laosirihongthong, T., Samaranayake, P., & Nagalingam, S. (2019). A holistic approach to supplier evaluation and order allocation towards sustainable procurement. Benchmarking: An International Journal, 26(8), 2543-2573.
Li, J., Fang, H., & Song, W. (2019). Sustainable supplier selection based on SSCM practices: A rough cloud TOPSIS approach. Journal of Cleaner Production, 222, 606-621.
Lu, Z., Sun, X., Wang, Y., & Xu, C. (2018). Green supplier selection in straw biomass industry based on cloud model and possibility degree. Journal of Cleaner Production, 209, 995-1005.
Ma, Z., Shao, C., Ma, S., & Ye, Z. (2011). Constructing road safety performance indicators using Fuzzy Delphi Method and Grey Delphi Method. Expert Systems with Applications, 38(3), 1509–1514.
Micheli, G. J. L., Cagno, E., Mustillo, G., & Trianni, A. (2020). Green supply chain management drivers, practices and performance: A comprehensive study on the moderators. Journal of Cleaner Production, 121024.
Mohammed, A. (2019). Towards a sustainable assessment of suppliers: an integrated fuzzy TOPSIS-possibilistic multi-objective approach. Annals of Operations Research, 1-30.
Mosayebia, A., Ghorbanib, S. & Masoomi, B. (2020). Applying fuzzy delphi and best-worst method for identifying and prioritizing key factors affecting on university-industry collaboration. Decision Science Letters, 9, 107–118.
Ocampo, L., Ebisa, J. A., Ombe, J., & Geen Escoto, M. (2018). Sustainable ecotourism indicators with fuzzy Delphi method – A Philippine perspective. Ecological Indicators, 93, 874–888.
Omri, A., & Ben Mabrouk, N. (2020). Good governance for sustainable development goals: Getting ahead of the pack or falling behind? Environmental Impact Assessment Review, 83, 106388.
Oroojeni, M.J., & Darvishi, M. (2020). Green Supplier Selection for the Steel Industry Using BWM and Fuzzy TOPSIS: A case study of Khouzestan Steel Company. Sustainable Futures, 100012.
Quan, J., Zeng, B., & Liu, D. (2018). Green Supplier Selection for Process Industries Using Weighted Grey Incidence Decision Model. Complexity, 1–12.
Rabbani, M., Foroozesh, N., Mousavi, S. M., & Farrokhi-Asl, H. (2019). Sustainable supplier selection by a new decision model based on interval-valued fuzzy sets and possibilistic statistical reference point systems under uncertainty. International Journal of Systems Science: Operations & Logistics, 6(2), 162-178.
Sen, D. K., Datta, S., Patel, S. K., & Mahapatra, S. S. (2017). Green supplier selection in fuzzy context: a decision-making scenario on application of fuzzy-MULTIMOORA. International Journal of Services and Operations Management, 28(1), 98
Thongchattu, C., & Siripokapirom, S. (2010). Green supplier selection consensus by neural network. International Conference on Mechanical and Electronics Engineering, IEEE, Kyoto, 313-316.
Wu, K.-J., Liao, C.-J., Chen, C.-C., Lin, Y., & Tsai, C. F. M. (2016). Exploring eco-innovation in dynamic organizational capability under incomplete information in the Taiwanese lighting industry. International Journal of Production Economics, 181, 419–440.
Wu, Q., Zhou, L., Chen, Y., & Chen, H. (2019). An integrated approach to green supplier selection based on the interval type-2 fuzzy best-worst and extended VIKOR methods. Information Sciences, 502, 394–417.
Yazdani, M., Chatterjee, P., Zavadskas, E. K., & Hashemkhani Zolfani, S. (2017). Integrated QFD-MCDM framework for green supplier selection. Journal of Cleaner Production, 142, 3728–3740.
Arabsheybani, A., Paydar, M. M., & Safaei, A. S. (2018). An integrated fuzzy MOORA method and FMEA technique for sustainable supplier selection considering quantity discounts and supplier’s risk. Journal of Cleaner Production, 190, 577–591.
Bakeshlou, E. A., Khamseh, A. A., Asl, M. A. G., Sadeghi, J., & Abbaszadeh, M. (2014). Evaluating a green supplier selection problem using a hybrid MODM algorithm. Journal of Intelligent Manufacturing, 28(4), 913–927.
Ben Mabrouk, N. (2020). Interpretive structural modeling of critical factors for buyer-supplier partnerships in supply chain management. Uncertain Supply Chain Management, 8(3), 613-626.
Ben Mabrouk, N., Omri, A., & Jarraya, B. (2020). Factors influencing the performance of supply chain management in Saudi SMEs. Uncertain Supply Chain Management, 8(3), 569-578.
Bouzon, M., Govindan, K., Rodriguez, C. M. T., & Campos, L. M. S. (2016). Identification and analysis of reverse logistics barriers using fuzzy Delphi method and AHP. Resources, Conservation and Recycling, 108, 182–198.
Chang, B., Chang, C.W., & Wu, C.H. (2011). Fuzzy DEMATEL method for developing supplier selection criteria. Expert Systems with Applications, 38(3), 1850–1858.
Chang, P.L., Hsu, C.W., & Chang, P.C. (2011). Fuzzy Delphi method for evaluating hydrogen production technologies. International Journal of Hydrogen Energy, 36(21), 14172–14179.
Dobos, I., & Vörösmarty, G. (2014). Green supplier selection and evaluation using DEA-type composite indicators. International Journal of Production Economics, 157, 273–278.
Ecer, F. (2020). Multi-criteria decision making for green supplier selection using interval type-2 fuzzy AHP: a case study of a home appliance manufacturer. Operational Research, 1-35.
Fallahpour, A., Olugu, E., Musa, S., Khezrimotlagh, D., & Wong, K. (2016). An integrated model for green supplier selection under fuzzy environment: Application of data envelopment analysis and genetic programming approach. Neural Computing and Applications, 27, 707–725.
Ghadimi, P., Dargi, A., & Heavey, C. (2017). Making sustainable sourcing decisions: practical evidence from the automotive industry. International Journal of Logistics Research and Applications, 20(4), 297–321.
Gupta, S., Soni, U., & Kumar, G. (2019). Green supplier selection using multi-criterion decision making under fuzzy environment: A case study in automotive industry. Computers & Industrial Engineering, 136, 663-680.
Ishikawa, A., Amagasa, M., Shiga, T., Tomizawa, G., Tatsuta, R., Mieno, H., 1993. The max-min Delphi method and fuzzy Delphi method via fuzzy integration. Fuzzy Sets and Systems, 55(3), 241–253.
Kardaras, D. K., Karakostas, B., & Mamakou, X. J. (2013). Content presentation personalization and media adaptation in tourism web sites using Fuzzy Delphi Method and Fuzzy Cognitive Maps. Expert Systems with Applications, 40(6), 2331-2342.
Keliji, B. P. , Abadi, B. S. D., & Abedini, M. (2018). Investigating readiness in the Iranian steel industry through six sigma combined with fuzzy delphi and fuzzy DANP. Decision Science Letters, 7, 465–480.
Kilic, H. S., & Yalcin, A. S. (2020). Modified two-phase fuzzy goal programming integrated with IF-TOPSIS for green supplier selection. Applied Soft Computing, 106371.
Laosirihongthong, T., Samaranayake, P., & Nagalingam, S. (2019). A holistic approach to supplier evaluation and order allocation towards sustainable procurement. Benchmarking: An International Journal, 26(8), 2543-2573.
Li, J., Fang, H., & Song, W. (2019). Sustainable supplier selection based on SSCM practices: A rough cloud TOPSIS approach. Journal of Cleaner Production, 222, 606-621.
Lu, Z., Sun, X., Wang, Y., & Xu, C. (2018). Green supplier selection in straw biomass industry based on cloud model and possibility degree. Journal of Cleaner Production, 209, 995-1005.
Ma, Z., Shao, C., Ma, S., & Ye, Z. (2011). Constructing road safety performance indicators using Fuzzy Delphi Method and Grey Delphi Method. Expert Systems with Applications, 38(3), 1509–1514.
Micheli, G. J. L., Cagno, E., Mustillo, G., & Trianni, A. (2020). Green supply chain management drivers, practices and performance: A comprehensive study on the moderators. Journal of Cleaner Production, 121024.
Mohammed, A. (2019). Towards a sustainable assessment of suppliers: an integrated fuzzy TOPSIS-possibilistic multi-objective approach. Annals of Operations Research, 1-30.
Mosayebia, A., Ghorbanib, S. & Masoomi, B. (2020). Applying fuzzy delphi and best-worst method for identifying and prioritizing key factors affecting on university-industry collaboration. Decision Science Letters, 9, 107–118.
Ocampo, L., Ebisa, J. A., Ombe, J., & Geen Escoto, M. (2018). Sustainable ecotourism indicators with fuzzy Delphi method – A Philippine perspective. Ecological Indicators, 93, 874–888.
Omri, A., & Ben Mabrouk, N. (2020). Good governance for sustainable development goals: Getting ahead of the pack or falling behind? Environmental Impact Assessment Review, 83, 106388.
Oroojeni, M.J., & Darvishi, M. (2020). Green Supplier Selection for the Steel Industry Using BWM and Fuzzy TOPSIS: A case study of Khouzestan Steel Company. Sustainable Futures, 100012.
Quan, J., Zeng, B., & Liu, D. (2018). Green Supplier Selection for Process Industries Using Weighted Grey Incidence Decision Model. Complexity, 1–12.
Rabbani, M., Foroozesh, N., Mousavi, S. M., & Farrokhi-Asl, H. (2019). Sustainable supplier selection by a new decision model based on interval-valued fuzzy sets and possibilistic statistical reference point systems under uncertainty. International Journal of Systems Science: Operations & Logistics, 6(2), 162-178.
Sen, D. K., Datta, S., Patel, S. K., & Mahapatra, S. S. (2017). Green supplier selection in fuzzy context: a decision-making scenario on application of fuzzy-MULTIMOORA. International Journal of Services and Operations Management, 28(1), 98
Thongchattu, C., & Siripokapirom, S. (2010). Green supplier selection consensus by neural network. International Conference on Mechanical and Electronics Engineering, IEEE, Kyoto, 313-316.
Wu, K.-J., Liao, C.-J., Chen, C.-C., Lin, Y., & Tsai, C. F. M. (2016). Exploring eco-innovation in dynamic organizational capability under incomplete information in the Taiwanese lighting industry. International Journal of Production Economics, 181, 419–440.
Wu, Q., Zhou, L., Chen, Y., & Chen, H. (2019). An integrated approach to green supplier selection based on the interval type-2 fuzzy best-worst and extended VIKOR methods. Information Sciences, 502, 394–417.
Yazdani, M., Chatterjee, P., Zavadskas, E. K., & Hashemkhani Zolfani, S. (2017). Integrated QFD-MCDM framework for green supplier selection. Journal of Cleaner Production, 142, 3728–3740.