Araştırma Makalesi
BibTex RIS Kaynak Göster

Sürdürülebilirlik için GİA ve AHP Yöntemleri ile Yeşil Tedarikçi Seçimi: Bir Otomotiv Ana Sanayi Uygulaması

Yıl 2021, Sayı: 27, 686 - 698, 30.11.2021
https://doi.org/10.31590/ejosat.909253

Öz

Artan rekabet koşulları ve küreselleşmenin etkisiyle son yıllarda işletmeler için tedarikçi seçim kararı, tedarik zincirlerini geliştirmeleri açısından oldukça önemlidir. Bu karar için, tedarikçi değerlendirme kriterlerinin doğru belirlenmesi ve bu kriterlere göre en uygun tedarikçinin seçilmesi gereklidir. Yaşadığımız doğal felaketler çevre bilincini artırmış ve yaşam döngüsü bakış açısını geliştirmiştir. Bu nedenle sürdürülebilirlik için tedarikçi seçiminde yeşil olma kriteri çok kritik bir rol almaktadır. Bu çalışmada, klasik tedarikçi seçim kriterleri ile birlikte çevresel performans kriterlerininde dikkate alındığı yeşil tedarikçi seçim problemi ele alınmıştır. Bu problemin çözümü için çok kriterli karar verme yöntemlerinden Gri İlişkisel Analiz (GİA) ve Analitik Hiyerarşi Prosesi (AHP) kullanılmıştır. Bir otomotiv ana sanayi işletmesine ait tedarikçi seçimi probleminin çözümü için önerilen yöntemler kullanılmış ve elde edilen sonuçlar karşılaştırılmıştır. Ayrıca yeşil tedarikçi seçim sürecinde kullanılan ana kriterler ve karar vericiler kümesinin değişimindeki etkiyi görmek üzere farklı senaryolar üzerinde duyarlılık analizi gerçekleştirilmiştir. Böylece otomotiv endüstrisi yöneticilerine en uygun tedarikçileri seçebilmelerinde yeşil olma kriterini de içeren yararlı bir metodoloji sunulmuştur.

Destekleyen Kurum

---

Proje Numarası

---

Teşekkür

Bu çalışmaya gösterdikleri değerli ilgi ve katkıları için uygulamanın gerçekleştirildiği otomotiv ana sanayi işletmesi çalışanlarına ve yöneticilerine sonsuz teşekkürlerimizi sunarız.

Kaynakça

  • Albayrak, E., & Erensal, Y. C. (2004). Using analytic hierarchy process (AHP) to improve human performance: An application of multiple criteria decision making problem. Journal of Intelligent Manufacturing, 15(4), 491-503.
  • Awasthi, A., & Kannan, G. (2016). Green supplier development program selection using NGT and VIKOR under fuzzy environment. Computers & Industrial Engineering, 91, 100-108.
  • Babbar, C., & Amin, S. H. (2018). 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.
  • 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.
  • Büyüközkan, G. (2012). An integrated fuzzy multi-criteria group decision-making approach for green supplier evaluation. International Journal of Production Research, 50(11), 2892-2909.
  • Cao, Q., Wu, J., & Liang, C. (2015). 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.
  • Chan, J. W. (2008). Product end-of-life options selection: grey relational analysis approach. International Journal of Production Research, 46(11), 2889-2912.
  • Dağdeviren, M. (2008). Decision making in equipment selection: an integrated approach with AHP and PROMETHEE. Journal of Intelligent Manufacturing, 19(4), 397-406.
  • Dweiri, F., Kumar, S., Khan, S. A., & Jain, V. (2016). Designing an integrated AHP based decision support system for supplier selection in automotive industry. Expert Systems with Applications, 62, 273-283.
  • Fallahpour, A., Olugu, E. U., Musa, S. N., Khezrimotlagh, D., & Wong, K. Y. (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(3), 707-725.
  • Genovese, A., Lenny Koh, S. C., Bruno, G., & Esposito, E. (2013). Greener supplier selection: state of the art and some empirical evidence. International Journal of Production Research, 51(10), 2868-2886.
  • 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., Kadziński, M., & Sivakumar, R. (2017). Application of a novel PROMETHEE-based method for construction of a group compromise ranking to prioritization of green suppliers in food supply chain. Omega, 71, 129-145.
  • Grisi, R. M., Guerra, L., & Naviglio, G. (2010). Supplier performance evaluation for green supply chain management, In P. Taticchi, Business Performance Measurement and Management (pp. 149-163), Berlin, Heidelberg: Springer.
  • 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.
  • 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.
  • Haeri, S. A. S., & Rezaei, J. (2019). A grey-based green supplier selection model for uncertain environments. Journal of Cleaner Production, 221, 768-784.
  • Hamdan, S., & Cheaitou, A. (2017). Dynamic green supplier selection and order allocation with quantity discounts and varying supplier availability. Computers & Industrial Engineering, 110, 573-589.
  • Hashemi, S. H., Karimi, A., Aghakhani, N., & Kalantar, P. (2014). A grey-based carbon management model for green supplier selection. Journal of Grey System, 26(2), 124-131.
  • Hashemi, S. H., Karimi, A., & Tavana, M. (2015). An integrated green supplier selection approach with analytic network process and improved Grey relational analysis. International Journal of Production Economics, 159, 178-191.
  • Hsu, C. W., Kuo, T. C., Chen, S. H., & Hu, A. H. (2013). Using DEMATEL to develop a carbon management model of supplier selection in green supply chain management. Journal of Cleaner Production, 56, 164-172.
  • Humphreys, P. K., Wong, Y. K., & Chan, F. T. S. (2003). Integrating environmental criteria into the supplier selection process. Journal of Materials Processing Technology, 138(1-3), 349-356.
  • Igarashi, M., de Boer, L., & Fet, A. M. (2013). What is required for greener supplier selection? A literature review and conceptual model development. Journal of Purchasing and Supply Management, 19(4), 247-263.
  • IPCC (2014). Climate Change 2014: Mitigation of Climate Change. Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom and New York, NY: USA.
  • Jain, V., Kumar, S., Kumar, A., & Chandra, C. (2016). An integrated buyer initiated decision-making process for green supplier selection. Journal of Manufacturing Systems, 41, 256-265.
  • Kahraman, C., Cebeci, U., & Ulukan, Z. (2003). Multi‐criteria supplier selection using fuzzy AHP. Logistics Information Management, 16(6), 382-394.
  • Kannan, D., de Sousa Jabbour, A. B. L., & Jabbour, C. J. C. (2014). Selecting green suppliers based on GSCM practices: Using fuzzy TOPSIS applied to a Brazilian electronics company. European Journal of Operational Research, 233(2), 432-447.
  • Kannan, D., Govindan, K., & Rajendran, S. (2015). Fuzzy axiomatic design approach based green supplier selection: A case study from Singapore. Journal of Cleaner Production, 96, 194-208.
  • Kannan, D., Khodaverdi, R., Olfat, L., Jafarian, A., & Diabat, A. (2013). 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.
  • Kumar, S., Teichman, S., & Timpernagel, T. (2012). A green supply chain is a requirement for profitability. International Journal of Production Research, 50(5), 1278-1296.
  • Kuo, R. J., Wang, Y. C., & Tien, F. C. (2010). Integration of artificial neural network and MADA methods for green supplier selection. Journal of Cleaner Production, 18(12), 1161-1170.
  • Kuo, Y., Yang, T., & Huang, G. W. (2008). The use of grey relational analysis in solving multiple attribute decision-making problems. Computers & Industrial Engineering, 55(1), 80-93.
  • Lee, A. H., Kang, H. Y., Hsu, C. F., & Hung, H. C. (2009). A green supplier selection model for high-tech industry. Expert Systems with Applications, 36(4), 7917-7927.
  • Li, G. D., Yamaguchi, D., & Nagai, M. (2008). A grey-based rough decision-making approach to supplier selection. The International Journal of Advanced Manufacturing Technology, 36(9-10), 1032.
  • Liu, S., & Lin, Y. (2010). Introduction to grey systems theory. In Grey Systems. Understanding Complex Systems, vol 68. (pp. 1-18). Berlin, Heidelberg: Springer.
  • Lu, L. Y., Wu, C. H., & Kuo, T. C. (2007). Environmental principles applicable to green supplier evaluation by using multi-objective decision analysis. International Journal of Production Research, 45(18-19), 4317-4331.
  • Montoya-Torres, J. R., Gutierrez-Franco, E., & Blanco, E. E. (2015). Conceptual framework for measuring carbon footprint in supply chains. Production Planning & Control, 26(4), 265-279.
  • Pitchipoo, P., Venkumar, P., & Rajakarunakaran, S. (2015). Grey decision model for supplier evaluation and selection in process industry: A comparative perspective. The International Journal of Advanced Manufacturing Technology, 76(9-12), 2059-2069.
  • Qin, J., Liu, X., & Pedrycz, W. (2017). An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment. European Journal of Operational Research, 258(2), 626-638.
  • Rajesh, R., & Ravi, V. (2015). Supplier selection in resilient supply chains: a grey relational analysis approach. Journal of Cleaner Production, 86, 343-359.
  • Roshandel, J., Miri-Nargesi, S. S., & Hatami-Shirkouhi, L. (2013). Evaluating and selecting the supplier in detergent production industry using hierarchical fuzzy TOPSIS. Applied Mathematical Modelling, 37(24), 10170-10181.
  • Saaty, T. L. (1977). A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology, 15(3), 234-281.
  • Saaty, T. L. (1990). How to make a decision: the analytic hierarchy process. European Journal of Operational Research, 48(1), 9-26.
  • Shen, L., Olfat, L., Govindan, K., Khodaverdi, R., & Diabat, A. (2013). A fuzzy multi criteria approach for evaluating green supplier's performance in green supply chain with linguistic preferences. Resources, Conservation and Recycling, 74, 170-179.
  • Şişman, B. (2016). Bulanık MOORA yöntemi kullanılarak yeşil tedarikçi geliştirme programlarının seçimi ve değerlendirilmesi. Journal of Yaşar University, 11(44), 302-315.
  • Tsai, W. H., & Hung, S. J. (2009). A fuzzy goal programming approach for green supply chain optimisation under activity-based costing and performance evaluation with a value-chain structure. International Journal of Production Research, 47(18), 4991-5017.
  • Tsui, C. W., & Wen, U. P. (2014). A hybrid multiple criteria group decision-making approach for green supplier selection in the TFT-LCD industry. Mathematical Problems in Engineering, 2014.
  • Tuzkaya, G., Ozgen, A., Ozgen, D., & Tuzkaya, U. R. (2009). Environmental performance evaluation of suppliers: A hybrid fuzzy multi-criteria decision approach. International Journal of Environmental Science & Technology, 6(3), 477-490.
  • Wan, S. P., Zou, W. C., Zhong, L. G., & Dong, J. Y. (2020). Some new information measures for hesitant fuzzy PROMETHEE method and application to green supplier selection. Soft Computing, 24, 9179–9203.
  • Wang Chen, H. M., Chou, S. Y., Luu, Q. D., & Yu, T. H. K. (2016). A fuzzy MCDM approach for green supplier selection from the economic and environmental aspects. Mathematical Problems in Engineering, 2016.
  • Wu, H. H. (2002). A comparative study of using grey relational analysis in multiple attribute decision making problems. Quality Engineering, 15(2), 209-217.
  • Yang, C. C., & Chen, B. S. (2006). Supplier selection using combined analytical hierarchy process and grey relational analysis. Journal of Manufacturing Technology Management, 17(7), 926-941.
  • Yazdani, M., Chatterjee, P., Zavadskas, E. K., & Zolfani, S. H. (2017). Integrated QFD-MCDM framework for green supplier selection. Journal of Cleaner Production, 142, 3728-3740.
  • Yeh, W. C., & Chuang, M. C. (2011). Using multi-objective genetic algorithm for partner selection in green supply chain problems. Expert Systems with Applications, 38(4), 4244-4253.

Green Supplier Selection Using GRA and AHP Methods for Sustainability: An Automotive Industry Case Study

Yıl 2021, Sayı: 27, 686 - 698, 30.11.2021
https://doi.org/10.31590/ejosat.909253

Öz

In recent years, supplier selection has become very important for companies to improve the supply chain with the impact of increasing competition and globalization. It is necessary to determine the right criteria in supplier selection. Natural disasters have increased environmental awareness and developed a life-cycle perspective. Therefore, green criteria play a very critical role in supplier selection for sustainability. In this study, the green supplier selection problem, in which environmental criteria are taken into account along with the classical supplier selection criteria, is discussed. Grey Relational Analysis (GRA) and Analytical Hierarchy Process (AHP), which are multi-criteria decision-making methods, are used to solve this problem. The proposed methods are applied to solve the supplier selection problem in an automotive industry company, and the obtained results are compared. Also, a sensitivity analysis is carried out on different scenarios to assess the effects of the main criteria and decision-makers used in the green supplier selection process. Hence, a useful methodology considering the green criteria is presented to the managers of the automotive industry for selecting the most suitable suppliers.

Proje Numarası

---

Kaynakça

  • Albayrak, E., & Erensal, Y. C. (2004). Using analytic hierarchy process (AHP) to improve human performance: An application of multiple criteria decision making problem. Journal of Intelligent Manufacturing, 15(4), 491-503.
  • Awasthi, A., & Kannan, G. (2016). Green supplier development program selection using NGT and VIKOR under fuzzy environment. Computers & Industrial Engineering, 91, 100-108.
  • Babbar, C., & Amin, S. H. (2018). 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.
  • 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.
  • Büyüközkan, G. (2012). An integrated fuzzy multi-criteria group decision-making approach for green supplier evaluation. International Journal of Production Research, 50(11), 2892-2909.
  • Cao, Q., Wu, J., & Liang, C. (2015). 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.
  • Chan, J. W. (2008). Product end-of-life options selection: grey relational analysis approach. International Journal of Production Research, 46(11), 2889-2912.
  • Dağdeviren, M. (2008). Decision making in equipment selection: an integrated approach with AHP and PROMETHEE. Journal of Intelligent Manufacturing, 19(4), 397-406.
  • Dweiri, F., Kumar, S., Khan, S. A., & Jain, V. (2016). Designing an integrated AHP based decision support system for supplier selection in automotive industry. Expert Systems with Applications, 62, 273-283.
  • Fallahpour, A., Olugu, E. U., Musa, S. N., Khezrimotlagh, D., & Wong, K. Y. (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(3), 707-725.
  • Genovese, A., Lenny Koh, S. C., Bruno, G., & Esposito, E. (2013). Greener supplier selection: state of the art and some empirical evidence. International Journal of Production Research, 51(10), 2868-2886.
  • 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., Kadziński, M., & Sivakumar, R. (2017). Application of a novel PROMETHEE-based method for construction of a group compromise ranking to prioritization of green suppliers in food supply chain. Omega, 71, 129-145.
  • Grisi, R. M., Guerra, L., & Naviglio, G. (2010). Supplier performance evaluation for green supply chain management, In P. Taticchi, Business Performance Measurement and Management (pp. 149-163), Berlin, Heidelberg: Springer.
  • 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.
  • 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.
  • Haeri, S. A. S., & Rezaei, J. (2019). A grey-based green supplier selection model for uncertain environments. Journal of Cleaner Production, 221, 768-784.
  • Hamdan, S., & Cheaitou, A. (2017). Dynamic green supplier selection and order allocation with quantity discounts and varying supplier availability. Computers & Industrial Engineering, 110, 573-589.
  • Hashemi, S. H., Karimi, A., Aghakhani, N., & Kalantar, P. (2014). A grey-based carbon management model for green supplier selection. Journal of Grey System, 26(2), 124-131.
  • Hashemi, S. H., Karimi, A., & Tavana, M. (2015). An integrated green supplier selection approach with analytic network process and improved Grey relational analysis. International Journal of Production Economics, 159, 178-191.
  • Hsu, C. W., Kuo, T. C., Chen, S. H., & Hu, A. H. (2013). Using DEMATEL to develop a carbon management model of supplier selection in green supply chain management. Journal of Cleaner Production, 56, 164-172.
  • Humphreys, P. K., Wong, Y. K., & Chan, F. T. S. (2003). Integrating environmental criteria into the supplier selection process. Journal of Materials Processing Technology, 138(1-3), 349-356.
  • Igarashi, M., de Boer, L., & Fet, A. M. (2013). What is required for greener supplier selection? A literature review and conceptual model development. Journal of Purchasing and Supply Management, 19(4), 247-263.
  • IPCC (2014). Climate Change 2014: Mitigation of Climate Change. Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom and New York, NY: USA.
  • Jain, V., Kumar, S., Kumar, A., & Chandra, C. (2016). An integrated buyer initiated decision-making process for green supplier selection. Journal of Manufacturing Systems, 41, 256-265.
  • Kahraman, C., Cebeci, U., & Ulukan, Z. (2003). Multi‐criteria supplier selection using fuzzy AHP. Logistics Information Management, 16(6), 382-394.
  • Kannan, D., de Sousa Jabbour, A. B. L., & Jabbour, C. J. C. (2014). Selecting green suppliers based on GSCM practices: Using fuzzy TOPSIS applied to a Brazilian electronics company. European Journal of Operational Research, 233(2), 432-447.
  • Kannan, D., Govindan, K., & Rajendran, S. (2015). Fuzzy axiomatic design approach based green supplier selection: A case study from Singapore. Journal of Cleaner Production, 96, 194-208.
  • Kannan, D., Khodaverdi, R., Olfat, L., Jafarian, A., & Diabat, A. (2013). 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.
  • Kumar, S., Teichman, S., & Timpernagel, T. (2012). A green supply chain is a requirement for profitability. International Journal of Production Research, 50(5), 1278-1296.
  • Kuo, R. J., Wang, Y. C., & Tien, F. C. (2010). Integration of artificial neural network and MADA methods for green supplier selection. Journal of Cleaner Production, 18(12), 1161-1170.
  • Kuo, Y., Yang, T., & Huang, G. W. (2008). The use of grey relational analysis in solving multiple attribute decision-making problems. Computers & Industrial Engineering, 55(1), 80-93.
  • Lee, A. H., Kang, H. Y., Hsu, C. F., & Hung, H. C. (2009). A green supplier selection model for high-tech industry. Expert Systems with Applications, 36(4), 7917-7927.
  • Li, G. D., Yamaguchi, D., & Nagai, M. (2008). A grey-based rough decision-making approach to supplier selection. The International Journal of Advanced Manufacturing Technology, 36(9-10), 1032.
  • Liu, S., & Lin, Y. (2010). Introduction to grey systems theory. In Grey Systems. Understanding Complex Systems, vol 68. (pp. 1-18). Berlin, Heidelberg: Springer.
  • Lu, L. Y., Wu, C. H., & Kuo, T. C. (2007). Environmental principles applicable to green supplier evaluation by using multi-objective decision analysis. International Journal of Production Research, 45(18-19), 4317-4331.
  • Montoya-Torres, J. R., Gutierrez-Franco, E., & Blanco, E. E. (2015). Conceptual framework for measuring carbon footprint in supply chains. Production Planning & Control, 26(4), 265-279.
  • Pitchipoo, P., Venkumar, P., & Rajakarunakaran, S. (2015). Grey decision model for supplier evaluation and selection in process industry: A comparative perspective. The International Journal of Advanced Manufacturing Technology, 76(9-12), 2059-2069.
  • Qin, J., Liu, X., & Pedrycz, W. (2017). An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment. European Journal of Operational Research, 258(2), 626-638.
  • Rajesh, R., & Ravi, V. (2015). Supplier selection in resilient supply chains: a grey relational analysis approach. Journal of Cleaner Production, 86, 343-359.
  • Roshandel, J., Miri-Nargesi, S. S., & Hatami-Shirkouhi, L. (2013). Evaluating and selecting the supplier in detergent production industry using hierarchical fuzzy TOPSIS. Applied Mathematical Modelling, 37(24), 10170-10181.
  • Saaty, T. L. (1977). A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology, 15(3), 234-281.
  • Saaty, T. L. (1990). How to make a decision: the analytic hierarchy process. European Journal of Operational Research, 48(1), 9-26.
  • Shen, L., Olfat, L., Govindan, K., Khodaverdi, R., & Diabat, A. (2013). A fuzzy multi criteria approach for evaluating green supplier's performance in green supply chain with linguistic preferences. Resources, Conservation and Recycling, 74, 170-179.
  • Şişman, B. (2016). Bulanık MOORA yöntemi kullanılarak yeşil tedarikçi geliştirme programlarının seçimi ve değerlendirilmesi. Journal of Yaşar University, 11(44), 302-315.
  • Tsai, W. H., & Hung, S. J. (2009). A fuzzy goal programming approach for green supply chain optimisation under activity-based costing and performance evaluation with a value-chain structure. International Journal of Production Research, 47(18), 4991-5017.
  • Tsui, C. W., & Wen, U. P. (2014). A hybrid multiple criteria group decision-making approach for green supplier selection in the TFT-LCD industry. Mathematical Problems in Engineering, 2014.
  • Tuzkaya, G., Ozgen, A., Ozgen, D., & Tuzkaya, U. R. (2009). Environmental performance evaluation of suppliers: A hybrid fuzzy multi-criteria decision approach. International Journal of Environmental Science & Technology, 6(3), 477-490.
  • Wan, S. P., Zou, W. C., Zhong, L. G., & Dong, J. Y. (2020). Some new information measures for hesitant fuzzy PROMETHEE method and application to green supplier selection. Soft Computing, 24, 9179–9203.
  • Wang Chen, H. M., Chou, S. Y., Luu, Q. D., & Yu, T. H. K. (2016). A fuzzy MCDM approach for green supplier selection from the economic and environmental aspects. Mathematical Problems in Engineering, 2016.
  • Wu, H. H. (2002). A comparative study of using grey relational analysis in multiple attribute decision making problems. Quality Engineering, 15(2), 209-217.
  • Yang, C. C., & Chen, B. S. (2006). Supplier selection using combined analytical hierarchy process and grey relational analysis. Journal of Manufacturing Technology Management, 17(7), 926-941.
  • Yazdani, M., Chatterjee, P., Zavadskas, E. K., & Zolfani, S. H. (2017). Integrated QFD-MCDM framework for green supplier selection. Journal of Cleaner Production, 142, 3728-3740.
  • Yeh, W. C., & Chuang, M. C. (2011). Using multi-objective genetic algorithm for partner selection in green supply chain problems. Expert Systems with Applications, 38(4), 4244-4253.
Toplam 54 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Mühendislik
Bölüm Makaleler
Yazarlar

Sedef Kılınç 0000-0002-6292-7480

Betül Yağmahan 0000-0003-1744-3062

Proje Numarası ---
Erken Görünüm Tarihi 29 Temmuz 2021
Yayımlanma Tarihi 30 Kasım 2021
Yayımlandığı Sayı Yıl 2021 Sayı: 27

Kaynak Göster

APA Kılınç, S., & Yağmahan, B. (2021). Sürdürülebilirlik için GİA ve AHP Yöntemleri ile Yeşil Tedarikçi Seçimi: Bir Otomotiv Ana Sanayi Uygulaması. Avrupa Bilim Ve Teknoloji Dergisi(27), 686-698. https://doi.org/10.31590/ejosat.909253