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A NOVEL APPROACH FOR GREEN SUPPLIER SELECTION PROBLEM: FUZZY AXIOMATIC DESIGN WITH RISK FACTORS

Year 2021, Volume: 19 Issue: 2, 1 - 16, 30.06.2021
https://doi.org/10.11611/yead.736004

Abstract

Today’s environmental conscious world forces companies to be more about energy and water consumption. New trends in the world generally provide competitive advantage to the firms if they work on environmental issues. As a critical decision of companies, supplier selection problem needs to consider the environmental factors and economical factors simultaneously. This study proposes a novel solution methodology for green supplier selection problem: Fuzzy axiomatic design with risk factors. This method is applied in many decision-making problems in the literature successfully. A case study is presented to implement the method and the results are compared with traditional fuzzy axiomatic design and fuzzy TOPSIS. It has seen that the decision of the best supplier selection can be influenced by the risk factors such as the deviation in the economical conditions or the working conditions of the company.

References

  • Tseng, M. L., Islam, M. S., Karia, N., Fauzi, F. A. & Afrin, S. “A literature review on green supply chain management: Trends and future challenges.” Resour. Conserv. Recycl. 141, 145–162 (2019).
  • Govindan K, Rajendran S, Sarkis J, Murugesan P. “Multi criteria decision making approaches for green supplier evaluation and selection: A literature review.” Journal of Cleaner Production, 98, 66–83, 2015.
  • Kannan D, De Sousa Jabbour ABL, Jabbour CJC. “Selecting green suppliers based on GSCM practices: Using Fuzzy TOPSIS applied to a Brazilian electronics company.” European Journal of Operational Research, 233, 432–447, 2014.
  • Marcus A, Fremeth A. “Green management matters regardless.” The Academy of Management Perspectives, 23(3), 17–26, 2009. Nielsen, I. E., Banaeian, N., Golińska, P., Mobli, H., & Omid, M. ‘Green supplier selection criteria: from a literature review to a flexible framework for determination of suitable criteria. In Logistics operations, supply chain management and sustainability (pp. 79-99). Springer, Cham, 2014.
  • 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.
  • 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.
  • Kahraman, C., Cebeci, U. and Ulukan, Z., 2003. Multi‐criteria supplier selection using fuzzy AHP. Logistics information management.
  • Chan, F.T., Kumar, N., Tiwari, M.K., Lau, H.C. and Choy, K., 2008. Global supplier selection: a fuzzy-AHP approach. International Journal of production research, 46(14), pp.3825-3857.
  • Kilincci, O. and Onal, S.A., 2011. Fuzzy AHP approach for supplier selection in a washing machine company. Expert systems with Applications, 38(8), pp.9656-9664.
  • Vinodh, S., Ramiya, R.A. and Gautham, S.G., 2011. Application of fuzzy analytic network process for supplier selection in a manufacturing organisation. Expert Systems with Applications, 38(1), pp.272-280.
  • Dargi, A., Anjomshoae, A., Galankashi, M.R., Memari, A. and Tap, M.B.M., 2014. Supplier selection: A fuzzy-ANP approach. Procedia Computer Science, 31, pp.691-700.
  • Sennaroglu, B. and Akıcı, O., 2019, July. Supplier Selection Using Fuzzy Analytic Network Process. In International Conference on Intelligent and Fuzzy Systems (pp. 829-834). Springer, Cham.
  • Wang, J.W., Cheng, C.H. and Huang, K.C., 2009. Fuzzy hierarchical TOPSIS for supplier selection. Applied soft computing, 9(1), pp.377-386.
  • Roshandel, J., Miri-Nargesi, S.S. and Hatami-Shirkouhi, L., 2013. Evaluating and selecting the supplier in detergent production industry using hierarchical fuzzy TOPSIS. Applied mathematical modelling, 37(24), pp.10170-10181.
  • Wood, D.A., 2016. Supplier selection for development of petroleum industry facilities, applying multi-criteria decision making techniques including fuzzy and intuitionistic fuzzy TOPSIS with flexible entropy weighting. Journal of Natural Gas Science and Engineering, 28, pp.594-612.
  • Handfield R, Walton SV, Sroufe R, Melnyk SA. “Applying environmental criteria to supplier assessment: a study in the application of the analytical hierarchy process.” European Journal of Operational Research, 141, 70-87, 2002.
  • Lu LYY, Wu CH, Kuo TC. “Environmental principles applicable to green supplier evaluation by using multi-objective decision analysis.” International Journal of Production Research, 45 (18-19), 4317-4331, 2007.
  • Chiou CY, Hsu CW, Hwang WY. “Comparative investigation on green supplier Selection of the American, Japanese and Taiwanese electronics industry in China.” International Conference on IE&EM, IEEE, 8-11 December, 2008.
  • Lee AHI, Kang HY, Hsu CF, Hung HC. “A green supplier selection model for high-tech industry.” Expert Systems with Applications, 36, 7917-7927, 2009.
  • Grisi RM, Guerra L, Naviglio G. “Supplier performance evaluation for green supply chain management.” Business Performance Measurement and Management, Part 4, 149-163, 2010.
  • Shaw K, Shankar R, Yadav SS, Thakur LS. “Supplier selection using fuzzy AHP and fuzzy multi-objective linear programming for developing low carbon supply chain.” Expert Systems with Applications, 39, 8182–8192, 2012.
  • Hsu CW, Hu AH. “Application of analytic network process on supplier selection to hazardous substance management in green supply chain management.” International Conference on IEEM, IEEE, 2-4 December, 2007.
  • Hsu CW, Hu AH. “Applying hazardous substance management to supplier selection using analytic network process.” Journal of Cleaner Production, 17, 255-264, 2009.
  • Büyüközkan G, Çifçi G. “Evaluation of the green supply chain management practices: a fuzzy ANP approach.” Production Planning & Control, iFirst, 1-14, 2010.
  • Buyukozkan, G, Çifçi G. “A novel fuzzy multi-criteria decision framework for sustainable supplier selection with incomplete information.” Computers in Industry, 62, 164-174, 2011.
  • Kuo RJ, Lin YJ. “Supplier selection using analytic network process and data envelopment analysis.” International Journal of Production Research, 50 (11), 2852-2863, 2012.
  • Kumar, A., Jain, V. “Supplier selection: a green approach with carbon footprint monitoring.” International Conference on SCMIS, IEEE, 6-9 October, 2010.
  • Dobos, I. & Vörösmarty, G. “Green supplier selection and evaluation using DEA-type composite indicators.” International Journal of Production Economics, 157, 273–278, 2014.
  • Shi P, Yan B, Shi S, Ke C. “A decision support system to select suppliers for a sustainable supply chain based on a systematic DEA approach.” Information Technology and Management, 16, 39–49, 2015.
  • Fallahpour A, Olugu EU, Musa SN, Khezrimotlagh D, Wong KY. “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, 2016.
  • Dobos I, Vörösmarty G. “Green supplier selection and evaluation using DEA-type composite indicators.” International Journal of Production Economics, 157, 273–278, 2014.
  • Banaeian N, Mobli H, Fahimnia B, Nielsen IE, Omid M. “Green supplier selection using fuzzy group decision making methods: A case study from the agri-food industry.” Computers & Operations Research, 89, 337–347, 2018.
  • Cao Q, Wu J, Liang C. “An intuitionsitic fuzzy judgement matrix and TOPSIS integrated multi-criteria decision making method for green supplier selection.” Journal of Intelligent & Fuzzy Systems, 28 (1), 117-126, 2015.
  • Kannan D, Khodaverdi R, Olfat L, Jafarian A, Diabat A. “Integrated fuzzy multi criteria decision making method and multi-objective programming approach for supplier selection and order allocation in a green supply chain.” Journal of Cleaner Production 47, 355-367, 2013.
  • Wang X, Chan HK. “A hierarchical fuzzy TOPSIS approach to assess improvement areas when implementing green supply chain initiatives.” International Journal of Production Research, 51, 3117–3130, 2013.
  • Awasthi A, Chauhan SS, Goyal SK. “A fuzzy multicriteria approach for evaluating environmental performance of suppliers.” International Journal of Production Economics, 126, 370-378, 2010.
  • Babbar C, Amin SH. “A multi-objective mathematical model integrating environmental concerns for supplier selection and order allocation based on fuzzy QFD in beverages industry.” Expert Systems with Applications, 92, 27–38, 2018.
  • Yazdani M, Chatterjee P, Zavadskas EK, Hashemkhani Zolfani S. “Integrated QFD-MCDM framework for green supplier selection.” Journal of Cleaner Production, 142, 3728–3740, 2017.
  • Tavana M, Yazdani M, Di Caprio D. “An application of an integrated ANP–QFD framework for sustainable supplier selection.” International Journal of Logistics Research and Applications, 20, 254–275, 2017.
  • Kannan D, Govindan K, Rajendran S. “Fuzzy axiomatic design approach based green supplier selection: A case study from Singapore.” Journal of Cleaner Production, 96, 194–208, 2015.
  • Gören HG, Kulak O. “A New Fuzzy Multi-criteria Decision Making Approach: Extended Hierarchical Fuzzy Axiomatic Design Approach with Risk Factors.” In: Dargam F. et al. (eds) Decision Support Systems III - Impact of Decision Support Systems for Global Environments. EWG-DSS 2013, EWG-DSS 2013. Lecture Notes in Business Information Processing, vol 184. Springer, Cham
  • Kulak O, Goren HG, Supciller AA. “A new multi criteria decision making approach for medical imaging systems considering risk factors.” Appl. Soft Comput. J., 35, 931–941, 2015.
  • Suh NP. “The Principles of Design.” Oxford University Press, New York, NY, 1990.
  • Suh NP. “Axiomatic Design: Advances and Applications”, Oxford University Press, New York, NY, 2001.
  • Kulak O, Kahraman C. “Multi-attribute comparison of advanced manufacturing systems using fuzzy vs. crisp axiomatic design approach.” International Journal of Production Economics, 95, 415–424, 2005.
  • Kulak O, Kahraman C. “Fuzzy multi-attribute selection among transportation companies using axiomatic design and analytic hierarchy process.” Information Sciences, 170 (2-4), 191-210, 2005.
  • Hwang CL, Yoon K. “Methods for Multiple Attribute Decision Making.” Multiple Attribute Decision Making. Lecture Notes in Economics and Mathematical Systems, vol 186. Springer, Berlin, Heidelberg, 1981.
  • Govindan K, Khodaverdi R, Jafarian A. “A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach.” Journal of Cleaner Production, 47, 345–354, 2013.
  • Wang YM, Elhag TMS. “Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment.” Expert Systems with Applications, 31, 309–319, 2006.
  • Kulak O, Durmuşoǧlu MB, Kahraman C. “Fuzzy multi-attribute equipment selection based on information axiom.” Journal of Materials Processing Technology, 169, 337–345, 2005.

YEŞİL TEDARİKÇİ SEÇİMİ PROBLEMİ İÇİN YENİ BİR YAKLAŞIM: RİSK FAKTÖRLERİ İLE BULANIK AKSİYOMATİK TASARIM

Year 2021, Volume: 19 Issue: 2, 1 - 16, 30.06.2021
https://doi.org/10.11611/yead.736004

Abstract

Günümüzün çevreye duyarlı müşterileri, firmaları enerji ve su tüketimi konusunda daha dikkatli davranmaya zorlamaktadır. Dünyadaki yeni yönelimler, çevresel konulara değer veren firmaların rekabet avantajı sağladığını göstermektedir . Firmalar için kritik öneme sahip tedarikçi seçimi probleminde, yalnızca ekonomik faktörlerin değil, çevresel faktörlerin de dikkate alınması gerekmektedir. Bu çalışma yeşil tedarikçi seçimi problemi için yeni bir yöntem olan ‘Risk Faktörlü Bulanık Aksiyomatik Tasarım’ yöntemini önermektedir. Önerilen model ülkemizden bir örnek vaka üzerinde uygulanmış ve elde edilen sonuçlar Klasik Bulanık Aksiyomatik Tasarım ve Bulanık İdeal Çözüme Benzerliğe Göre Tercih Sıralama Tekniği (TOPSIS) kullanılarak ulaşılan sonuçlar ile karşılaştırılmıştır.Önerilen model ülkemizden bir örnek vaka üzerinde uygulanmış ve elde edilen sonuçlar Bulanık Aksiyomatik Tasarım ve Bulanık İdeal Çözüme Benzerliğe Göre Tercih Sıralama Tekniği (TOPSIS) kullanılarak ulaşılan sonuçlar ile karşılaştırılmıştır.

References

  • Tseng, M. L., Islam, M. S., Karia, N., Fauzi, F. A. & Afrin, S. “A literature review on green supply chain management: Trends and future challenges.” Resour. Conserv. Recycl. 141, 145–162 (2019).
  • Govindan K, Rajendran S, Sarkis J, Murugesan P. “Multi criteria decision making approaches for green supplier evaluation and selection: A literature review.” Journal of Cleaner Production, 98, 66–83, 2015.
  • Kannan D, De Sousa Jabbour ABL, Jabbour CJC. “Selecting green suppliers based on GSCM practices: Using Fuzzy TOPSIS applied to a Brazilian electronics company.” European Journal of Operational Research, 233, 432–447, 2014.
  • Marcus A, Fremeth A. “Green management matters regardless.” The Academy of Management Perspectives, 23(3), 17–26, 2009. Nielsen, I. E., Banaeian, N., Golińska, P., Mobli, H., & Omid, M. ‘Green supplier selection criteria: from a literature review to a flexible framework for determination of suitable criteria. In Logistics operations, supply chain management and sustainability (pp. 79-99). Springer, Cham, 2014.
  • 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.
  • 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.
  • Kahraman, C., Cebeci, U. and Ulukan, Z., 2003. Multi‐criteria supplier selection using fuzzy AHP. Logistics information management.
  • Chan, F.T., Kumar, N., Tiwari, M.K., Lau, H.C. and Choy, K., 2008. Global supplier selection: a fuzzy-AHP approach. International Journal of production research, 46(14), pp.3825-3857.
  • Kilincci, O. and Onal, S.A., 2011. Fuzzy AHP approach for supplier selection in a washing machine company. Expert systems with Applications, 38(8), pp.9656-9664.
  • Vinodh, S., Ramiya, R.A. and Gautham, S.G., 2011. Application of fuzzy analytic network process for supplier selection in a manufacturing organisation. Expert Systems with Applications, 38(1), pp.272-280.
  • Dargi, A., Anjomshoae, A., Galankashi, M.R., Memari, A. and Tap, M.B.M., 2014. Supplier selection: A fuzzy-ANP approach. Procedia Computer Science, 31, pp.691-700.
  • Sennaroglu, B. and Akıcı, O., 2019, July. Supplier Selection Using Fuzzy Analytic Network Process. In International Conference on Intelligent and Fuzzy Systems (pp. 829-834). Springer, Cham.
  • Wang, J.W., Cheng, C.H. and Huang, K.C., 2009. Fuzzy hierarchical TOPSIS for supplier selection. Applied soft computing, 9(1), pp.377-386.
  • Roshandel, J., Miri-Nargesi, S.S. and Hatami-Shirkouhi, L., 2013. Evaluating and selecting the supplier in detergent production industry using hierarchical fuzzy TOPSIS. Applied mathematical modelling, 37(24), pp.10170-10181.
  • Wood, D.A., 2016. Supplier selection for development of petroleum industry facilities, applying multi-criteria decision making techniques including fuzzy and intuitionistic fuzzy TOPSIS with flexible entropy weighting. Journal of Natural Gas Science and Engineering, 28, pp.594-612.
  • Handfield R, Walton SV, Sroufe R, Melnyk SA. “Applying environmental criteria to supplier assessment: a study in the application of the analytical hierarchy process.” European Journal of Operational Research, 141, 70-87, 2002.
  • Lu LYY, Wu CH, Kuo TC. “Environmental principles applicable to green supplier evaluation by using multi-objective decision analysis.” International Journal of Production Research, 45 (18-19), 4317-4331, 2007.
  • Chiou CY, Hsu CW, Hwang WY. “Comparative investigation on green supplier Selection of the American, Japanese and Taiwanese electronics industry in China.” International Conference on IE&EM, IEEE, 8-11 December, 2008.
  • Lee AHI, Kang HY, Hsu CF, Hung HC. “A green supplier selection model for high-tech industry.” Expert Systems with Applications, 36, 7917-7927, 2009.
  • Grisi RM, Guerra L, Naviglio G. “Supplier performance evaluation for green supply chain management.” Business Performance Measurement and Management, Part 4, 149-163, 2010.
  • Shaw K, Shankar R, Yadav SS, Thakur LS. “Supplier selection using fuzzy AHP and fuzzy multi-objective linear programming for developing low carbon supply chain.” Expert Systems with Applications, 39, 8182–8192, 2012.
  • Hsu CW, Hu AH. “Application of analytic network process on supplier selection to hazardous substance management in green supply chain management.” International Conference on IEEM, IEEE, 2-4 December, 2007.
  • Hsu CW, Hu AH. “Applying hazardous substance management to supplier selection using analytic network process.” Journal of Cleaner Production, 17, 255-264, 2009.
  • Büyüközkan G, Çifçi G. “Evaluation of the green supply chain management practices: a fuzzy ANP approach.” Production Planning & Control, iFirst, 1-14, 2010.
  • Buyukozkan, G, Çifçi G. “A novel fuzzy multi-criteria decision framework for sustainable supplier selection with incomplete information.” Computers in Industry, 62, 164-174, 2011.
  • Kuo RJ, Lin YJ. “Supplier selection using analytic network process and data envelopment analysis.” International Journal of Production Research, 50 (11), 2852-2863, 2012.
  • Kumar, A., Jain, V. “Supplier selection: a green approach with carbon footprint monitoring.” International Conference on SCMIS, IEEE, 6-9 October, 2010.
  • Dobos, I. & Vörösmarty, G. “Green supplier selection and evaluation using DEA-type composite indicators.” International Journal of Production Economics, 157, 273–278, 2014.
  • Shi P, Yan B, Shi S, Ke C. “A decision support system to select suppliers for a sustainable supply chain based on a systematic DEA approach.” Information Technology and Management, 16, 39–49, 2015.
  • Fallahpour A, Olugu EU, Musa SN, Khezrimotlagh D, Wong KY. “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, 2016.
  • Dobos I, Vörösmarty G. “Green supplier selection and evaluation using DEA-type composite indicators.” International Journal of Production Economics, 157, 273–278, 2014.
  • Banaeian N, Mobli H, Fahimnia B, Nielsen IE, Omid M. “Green supplier selection using fuzzy group decision making methods: A case study from the agri-food industry.” Computers & Operations Research, 89, 337–347, 2018.
  • Cao Q, Wu J, Liang C. “An intuitionsitic fuzzy judgement matrix and TOPSIS integrated multi-criteria decision making method for green supplier selection.” Journal of Intelligent & Fuzzy Systems, 28 (1), 117-126, 2015.
  • Kannan D, Khodaverdi R, Olfat L, Jafarian A, Diabat A. “Integrated fuzzy multi criteria decision making method and multi-objective programming approach for supplier selection and order allocation in a green supply chain.” Journal of Cleaner Production 47, 355-367, 2013.
  • Wang X, Chan HK. “A hierarchical fuzzy TOPSIS approach to assess improvement areas when implementing green supply chain initiatives.” International Journal of Production Research, 51, 3117–3130, 2013.
  • Awasthi A, Chauhan SS, Goyal SK. “A fuzzy multicriteria approach for evaluating environmental performance of suppliers.” International Journal of Production Economics, 126, 370-378, 2010.
  • Babbar C, Amin SH. “A multi-objective mathematical model integrating environmental concerns for supplier selection and order allocation based on fuzzy QFD in beverages industry.” Expert Systems with Applications, 92, 27–38, 2018.
  • Yazdani M, Chatterjee P, Zavadskas EK, Hashemkhani Zolfani S. “Integrated QFD-MCDM framework for green supplier selection.” Journal of Cleaner Production, 142, 3728–3740, 2017.
  • Tavana M, Yazdani M, Di Caprio D. “An application of an integrated ANP–QFD framework for sustainable supplier selection.” International Journal of Logistics Research and Applications, 20, 254–275, 2017.
  • Kannan D, Govindan K, Rajendran S. “Fuzzy axiomatic design approach based green supplier selection: A case study from Singapore.” Journal of Cleaner Production, 96, 194–208, 2015.
  • Gören HG, Kulak O. “A New Fuzzy Multi-criteria Decision Making Approach: Extended Hierarchical Fuzzy Axiomatic Design Approach with Risk Factors.” In: Dargam F. et al. (eds) Decision Support Systems III - Impact of Decision Support Systems for Global Environments. EWG-DSS 2013, EWG-DSS 2013. Lecture Notes in Business Information Processing, vol 184. Springer, Cham
  • Kulak O, Goren HG, Supciller AA. “A new multi criteria decision making approach for medical imaging systems considering risk factors.” Appl. Soft Comput. J., 35, 931–941, 2015.
  • Suh NP. “The Principles of Design.” Oxford University Press, New York, NY, 1990.
  • Suh NP. “Axiomatic Design: Advances and Applications”, Oxford University Press, New York, NY, 2001.
  • Kulak O, Kahraman C. “Multi-attribute comparison of advanced manufacturing systems using fuzzy vs. crisp axiomatic design approach.” International Journal of Production Economics, 95, 415–424, 2005.
  • Kulak O, Kahraman C. “Fuzzy multi-attribute selection among transportation companies using axiomatic design and analytic hierarchy process.” Information Sciences, 170 (2-4), 191-210, 2005.
  • Hwang CL, Yoon K. “Methods for Multiple Attribute Decision Making.” Multiple Attribute Decision Making. Lecture Notes in Economics and Mathematical Systems, vol 186. Springer, Berlin, Heidelberg, 1981.
  • Govindan K, Khodaverdi R, Jafarian A. “A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach.” Journal of Cleaner Production, 47, 345–354, 2013.
  • Wang YM, Elhag TMS. “Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment.” Expert Systems with Applications, 31, 309–319, 2006.
  • Kulak O, Durmuşoǧlu MB, Kahraman C. “Fuzzy multi-attribute equipment selection based on information axiom.” Journal of Materials Processing Technology, 169, 337–345, 2005.
There are 50 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Elif Özgörmüş 0000-0002-7793-8457

Zehra Taşcı Durak 0000-0002-2698-5675

Publication Date June 30, 2021
Published in Issue Year 2021 Volume: 19 Issue: 2

Cite

APA Özgörmüş, E., & Taşcı Durak, Z. (2021). A NOVEL APPROACH FOR GREEN SUPPLIER SELECTION PROBLEM: FUZZY AXIOMATIC DESIGN WITH RISK FACTORS. Journal of Management and Economics Research, 19(2), 1-16. https://doi.org/10.11611/yead.736004
AMA Özgörmüş E, Taşcı Durak Z. A NOVEL APPROACH FOR GREEN SUPPLIER SELECTION PROBLEM: FUZZY AXIOMATIC DESIGN WITH RISK FACTORS. Journal of Management and Economics Research. June 2021;19(2):1-16. doi:10.11611/yead.736004
Chicago Özgörmüş, Elif, and Zehra Taşcı Durak. “A NOVEL APPROACH FOR GREEN SUPPLIER SELECTION PROBLEM: FUZZY AXIOMATIC DESIGN WITH RISK FACTORS”. Journal of Management and Economics Research 19, no. 2 (June 2021): 1-16. https://doi.org/10.11611/yead.736004.
EndNote Özgörmüş E, Taşcı Durak Z (June 1, 2021) A NOVEL APPROACH FOR GREEN SUPPLIER SELECTION PROBLEM: FUZZY AXIOMATIC DESIGN WITH RISK FACTORS. Journal of Management and Economics Research 19 2 1–16.
IEEE E. Özgörmüş and Z. Taşcı Durak, “A NOVEL APPROACH FOR GREEN SUPPLIER SELECTION PROBLEM: FUZZY AXIOMATIC DESIGN WITH RISK FACTORS”, Journal of Management and Economics Research, vol. 19, no. 2, pp. 1–16, 2021, doi: 10.11611/yead.736004.
ISNAD Özgörmüş, Elif - Taşcı Durak, Zehra. “A NOVEL APPROACH FOR GREEN SUPPLIER SELECTION PROBLEM: FUZZY AXIOMATIC DESIGN WITH RISK FACTORS”. Journal of Management and Economics Research 19/2 (June 2021), 1-16. https://doi.org/10.11611/yead.736004.
JAMA Özgörmüş E, Taşcı Durak Z. A NOVEL APPROACH FOR GREEN SUPPLIER SELECTION PROBLEM: FUZZY AXIOMATIC DESIGN WITH RISK FACTORS. Journal of Management and Economics Research. 2021;19:1–16.
MLA Özgörmüş, Elif and Zehra Taşcı Durak. “A NOVEL APPROACH FOR GREEN SUPPLIER SELECTION PROBLEM: FUZZY AXIOMATIC DESIGN WITH RISK FACTORS”. Journal of Management and Economics Research, vol. 19, no. 2, 2021, pp. 1-16, doi:10.11611/yead.736004.
Vancouver Özgörmüş E, Taşcı Durak Z. A NOVEL APPROACH FOR GREEN SUPPLIER SELECTION PROBLEM: FUZZY AXIOMATIC DESIGN WITH RISK FACTORS. Journal of Management and Economics Research. 2021;19(2):1-16.