Research of Sustainable Supplier Selection Problem Using Fuzzy Inference Systems

Yıl 2023, , 162 - 179, 18.01.2024

Turgut Hacıvelioğulları , Nurullah Umarusman

https://doi.org/10.26650/JTL.2023.1370019

Öz

The concept of sustainability, emerged against the concerns about environmental degradation and social inequality, has led the public and private sectors to follow sustainability policies and practices. Therefore, businesses have started to select their suppliers by evaluating them based on the sustainability criteria such as market conditions, government policies, business objectives, and geographical location. In sustainable supply chain management, possible problems can be overcome by creating a balance between economic, environmental, and social dimensions through supplier selection. Using the Mamdani-type Fuzzy Inference Systems, a new model in the on-board equipment sector has been proposed to solve the sustainable supplier selection problem of a company. The sustainability level and performance level of suppliers were simultaneously calculated based on the same rules in the proposed model. Later, the business suppliers were ranked according to the sustainability and performance levels of the suppliers. It has been determined that there are different priority rankings among the same criteria for sustainability and performance levels by using the rules in the proposed model.

Anahtar Kelimeler

Fuzzy Inference System, sustainable supply chain management, supplier selection

Bulanık Çıkarım Sistemleri Kullanılarak Sürdürülebilir Tedarikçi Seçim Probleminin İncelenmesi

Öz

Çevresel bozulma ve sosyal eşitsizlikle ilgili kaygılara karşı ortaya çıkan sürdürülebilirlik kavramı kamu ve özel sektörü sürdürülebilirlik politikalarını ve uygulamalarını takip etmeye yönlendirmiştir. Dolayısıyla bu sektörlerdeki işletmeler tedarikçilerini sürdürülebilirlik kriterlerine göre değerlendirerek seçimi gerçekleştirmeye başlamıştır. Bu seçim sürecinde piyasa şartları, devlet politikaları, işletmenin hedefleri ve coğrafi konumu farklı kriterler kullanılabilmektedir. Sürdürülebilir kalkınmanın ekonomik, çevresel ve sosyal boyutlarının tedarik zinciri yönetimine entegrasyonuyla gelişen sürdürülebilir tedarik zinciri yönetiminde tedarikçi seçimiyle bu boyutlar arasındaki denge oluşturularak muhtemel sorunları üstesinden gelinebilir. Bu çalışmada araç üstü ekipman sektöründe faaliyet gösteren bir işletmenin sürdürülebilir tedarikçi seçim problemi Bulanık Çıkarım Sistemlerinin Mamdani-tipi Bulanık Çıkarım Sistem yaklaşımı kullanılarak yeni bir model önerilmiştir. Önerilen modelde tedarikçilerin sürdürülebilirlik düzeyi ve performans düzeyi aynı kurallara bağlı olarak eş zamanlı olarak hesaplanmıştır. Daha sonra tedarikçilerin sürdürülebilirlik ve performans düzeylerine göre işletme tedarikçiler sıralaması yapılmıştır. Ayrıca önerilen modeldeki kurallar kullanılarak sürdürülebilirlik ve performans düzeyleri için aynı kriterler arasında farklı öncelik sıralamasının olduğu belirlenmiştir.

Anahtar Kelimeler

Bulanık Çıkarım Sistem, Sürdürülebilir Tedarik Zinciri, Tedarikçi Seçimi

Kaynakça

• Ahuti, S. (2015). Industrial growth and environmental degradation. International Education and Research Journal, 1(5), 5-7. google scholar
• Akbaş, S., & Daklılıç, T. E. (2018). Multi-criteria supplier selection based on fuzzy pairwise comparisons in AHP. Gazi University Journal of Science, 31(1), 296-308. google scholar
• Amindoust, A., & Saghafinia, A. (2014). Supplier evaluation using fuzzy inference systems. In C. Kahraman , & B. Öztayşi (Eds.), Supply chain management under uzziness (pp. 3-19). Berlin-Heidelberg: Springer Verlag. doi:10.1007/978-3-642 53939-8. google scholar
• Amindoust, A., & Saghafinia, A. (2017). Textile supplier selection in sustainable supply chain using a modular fuzzy inference system model. The Journal of The Textile Institute, 108(7), 1250-1258. doi:10.1080/00405000.2016.1238130. google scholar
• Amindoust, A., Ahmed, S., Saghafinia, A., & Bahreininejad, A. (2012). Sustainable supplier selection: A ranking model based on fuzzy inference system. Applied Soft Computing, 12(6), 1668-1677. doi:10.1016/j.asoc.2012.01.023. google scholar
• Bache, J. Carr, R. Parnaby, J. & Tobias, A.M. (1987). Supplier development systems. International Journal of Technology Management, 2(2), 219-228. google scholar
• Benton, W. C., & McHenry, L. F. (2010). Construction purchasing and supply chain management, The McGraw-Hill Companies, Incorporation, U.S.A. google scholar
• Beske, P., & Seuring, S. (2014). Putting sustainability into supply chain management. Supply Chain Management: An International Journal, 19(3), 322-331. doi:10.1108/scm-12-2013-0432. google scholar
• Bhattacharyya, S., & Dutta, P. (2012). Fuzzy logic: Concepts, system design, and applications to industrial informatics. In M.A. Khan & A.Q. Ansari (Eds.), Handbook of research on industrial informatics and manufacturing intelligence: Innovations and solutions (pp. 33-71). IGI Global. doi:10.4018/978-1-4666-0294-6.CH003. google scholar
• Bozlağan, R. (2005). Sürdürülebilir gelişme düşüncesinin tarihsel arka planı . Journal of Social Policy Conferences, 0(50) , 1011-1028. google scholar
• Caroll, A.B., & Buchhollz, A.K. (2008). Business & Society: Ethics and stakeholder management. 7th ed. Mason, Ohio: Thomson/South-Western. google scholar
• Carter, C. R., & Easton, P.L. (2011). Sustainable supply chain management: Evolution and future directions. International Journal of Physical Distribution & Logistics Management, 41(1), 46-62. doi:10.1108/09600031111101420 google scholar
• Carter, C. R., & Rogers, D. S. (2008). A framework of sustainable supply chain management: Moving toward new theory. International Journal of Physical Distribution & Logistics, 38(5), 360-387. doi:10.1108/09600030810882816. google scholar
• Carrera, D.A., & Mayorga, R.W. (2008). Supply chain management: A modular fuzzy inference system approach in supplier selection for new product development. Journal of Intelligent Manufacturing, 19(1), 1-12. doi:10.1007/s10845-007-0041-9. google scholar
• Casson, L. (1954). The Grain Trade of the Hellenistic World. Transactions and Proceedings of the American Philological Association, 85, 168. doi:10.2307/283474. google scholar
• Chen, Y. J. (2011). Structured methodology for supplier selection and evaluation in a supply chain. Information Sciences, 181(9),16-51-1670. doi:10.1016/j.ins.2010.07.026. google scholar
• Cordon, O., Herrera, F., Gomide, F., Hoffmann, F., & Magdalena, L. (2001, July). Ten years of genetic fuzzy systems: Current framework and new trends. In Proceedings joint 9th IFSA world congress and 20th NAFIPS international conference, IEEE, Vancouver, BC, Canada. doi:10.1109/NAFIPS.2001.943725. google scholar
• DÇKK, (1987). http://www.un-documents.net/ocf-02.htm#I, Erişim tarihi: 21.11.2019. google scholar
• Delfmann, W., & Albers, S. (2000). Supply chain management in the global context. Dept. of General Management Working Paper (No:102), Business Planning and Logistics of the University of Cologne. google scholar
• Dempsey, W. A. (1978). Vendor selection and the buying process. Industrial Marketing Management, 7(4), 257-267. doi:10.1016/0019-8501(78)90044-5. google scholar
• Deshmukh, A. J., & Chaudhari, A. A. (2011). A review for supplier selection criteria and methods. In K. Shah, V.L. Gorty & A. Phirke (eds.), Technology Systems and Management (pp. 283-291). Berlin, Heidelberg: Springer. doi:10.1007/978-3-642 20209-4_41. google scholar
• Dickson, G.W. (1966). An analysis of vendor selection systems and decisions. Journal of Purchasing, 2(1), 5-17. doi:10.1111/j.1745-493x.1966.tb00818.x. google scholar
• Dong, Y., & Hauschild, M. Z. (2017). Indicators for environmental sustainability. Procedia CIRP, 61, 697-702.doi:10.1016/J.PROCIR.2016.11.173. google scholar
• Ecemiş, O., & Yaykaşlı, M. (2018). Çok kriterli karar verme yöntemleriyle sürdürülebilir tedarikçi seçimi ve bir uygulama. Akademik Sosyal Araştırmalar Dergisi, 6(83), 382-399. doi:10.16992/ASOS.14474. google scholar
• Elkington, J. (1998). Accounting for the triple bottom line. Measuring Business Excellence, 2(3), 18-22. doi:10.1108/eb025539. google scholar
• Er Kara, M., Yurtsever, O., & Fırat, S. U. O. (2016). Sustainable supplier evaluation and selection criteria. In M. M. Erdoğdu, A. Y. Mermod, & O. B. Aşkun-Yıldırım (Eds.), Social and Economic Perspectives on Sustainability (pp. 159-168). London: IJOPEC Publication. google scholar
• Feng, F., Li, C., Davvaz, B., & Ali, M. I. (2010). Soft sets combined with fuzzy sets and rough sets: A tentative approach. Soft computing, 14(9), 899-911. doi:10.1007/s00500-009-0465-6. google scholar
• Garg, C. P., & Sharma, A. (2018). Sustainable outsourcing partner selection and evaluation using an integrated BWM-VIKOR framework. Environment, Development and Sustainability, 22(2), 1529-1557. doi:10.1007/s10668-018-0261-5. google scholar
• Ghadimi, P., & Heavey, C. (2014). Sustainable supplier selection in medical device ındustry: Toward sustainable manufacturing. Procedia CIRP, 15, 165-170. doi:10.1016/J.PROCIR.2014.06.096. google scholar
• Ghoushchi, J. S., Milan, M. D., & Rezaee, M. J. (2018). Evaluation and selection of sustainable suppliers in supply chain using new GP-DEA model with imprecise data. Journal of Industrial Engineering International, 14(3), 613-625. doi:10.1007/s40092-017-0246-2. google scholar
• Gibson, R. B. (2012). In full retreat: The Canadian government’s new environmental assessment law undoes decades of progress. Impact Assessment and Project Appraisal, 30(3), 179-188. doi:10.1080/14615517.2012.720417. google scholar
• Gimenez, C., Sierra, V., & Rodon, J. (2012). Sustainable operations: Their impact on the triple bottom line. International Journal of Production Economics, 140(1), 149 159. doi:10.1016/j.ijpe.2012.01.035. google scholar
• Gorzalczany, M. B. (2002). Computational intelligence systems and applications Studies in Fuzziness and Soft Computing. Springer, Berlin, Heidelberg. doi:10.1007/978-3-7908-1801- google scholar
• Govindan, K., Fattahi, M., & Keyvanshokooh, E. (2017). Supply chain network design under uncertainty: A comprehensive review and future research directions. European Journal of Operational Research, 263(1), 10-141. doi:10.1016/j.ejor.2017.04.009 Op. google scholar
• Hassig, R. (2001). Time, history, and belief in Aztec and Colonial Mexico. University of Texas Press. doi:10.5860/choice.39-1746 google scholar
• Hughes, J. D. (1992). Sustainable agriculture in ancient Egypt. Agricultural History, 66(2), 12-22. google scholar
• Hughes, J. D., & Thirgood, J. V. (1982). Deforestation, Erosion, and Forest Management in Ancient Greece and Rome. Forest & Conservation History, 26(2), 60-75. doi:10.2307/4004530. google scholar
• Humphreys, P. ., Wong, Y. ., & Chan, F. T. (2003). Integrating environmental criteria into the supplier selection process. Journal of Materials Processing Technology, 138(13), 349-356. google scholar
• Jain, N., & Singh, A. R. (2019). Sustainable supplier selection under must-be criteria through fuzzy inference system. Journal of Cleaner Production, 248, 119275. doi:10.1016/j.jclepro.2019.119275. google scholar
• Jang, J. S. (1993). ANFIS: Adaptive-network-based fuzzy inference system. IEEE Transactions on Systems, Man, and Cybernetics, 23(3), 665-685. doi:10.1109/21.256541. google scholar
• Jang, J. S. R. (1997). Neuro-Fuzzy and soft computing-a computational approach to learning and machine intelligence. In J.S.R. Jang, C.T. Sun, E. Mizutani (Eds.), Fuzzy inference systems (pp.73-90). Prentice-Hall. doi:10.1109/TAC.1997.633847 google scholar
• Jung, H. (2017). Evaluation of third party logistics providers considering social sustainability. Sustainability, 9(5), 1-18. doi:10.3390/su9050777. google scholar
• Kaur, A., & Kaur, A. (2012). Comparison of mamdani-type and sugeno-type fuzzy inference systems for air conditioning system. International Journal of Soft Computing and Engineering (USCE), 2(2), 323-325. google scholar
• Klarin, T. (2018). The concept of sustainable development: From its beginning to the contemporary issues. Zagreb International Review of Economics & Business, 21(1), 67-94. doi:10.2478/zireb-2018-0005. google scholar
• KhanMohammadi, E., Talaie, H., Safari, H., & Salehzadeh, R. (2018). Supplier evaluation and selection for sustainable supply chain management under uncertainty conditions. International Journal of Sustainable Engineering, 11(6), 382-396, doi: 10.1080/19397038.2017.1421277. google scholar
• Krause, D. R., Vachon, S., & Klassen, R. D. (2009). Special topic forum on sustainable supply chain management: Introduction and reflections on the role of purchasing management. Journal Of Supply Chain Management, 45(4), 18-25. doi:10.1111/j.1745-493x.2009.03173.x. google scholar
• Lai, K., Wu, S. J., & Wong, C. W. Y. (2013). Did reverse logistics practices hit the triple bottom line of chinese manufacturers? International Journal of Production Economics, 146(1), 106-117. doi:10.1016/j.jpe.2013.03.005. google scholar
• Lambert, D. M., & Cooper, M. C. (2000). Issues in supply chain management. Industrial Marketing Management, 29(1), 65-83. doi:10.1016/S0019-8501(99)00113-3. google scholar
• Lentz, D. L., Dunning, N. P., Scarborough, V. L., Magee, K. S., Thompson, K. M., Weaver, E., & Hernandez, C. E. R. (2014). Forests, fields, and the edge of sustainability at the ancient Maya city of Tikal. Proceedings of the National Academy of Sciences, 111(52), 18513-18518. doi:10.1073/pnas.1408631111. google scholar
• Lopez, R., & Toman, M. A. (2006). Economic development and environmental sustainability: New policy options. OUP Oxford. google scholar
• Luthra, S., Govindan, K., Kannan, D., Mangla, S. K., & Garg, C. P. (2017). An integrated framework for sustainable supplier selection and google scholar
• evaluation in supply chains. Journal of Cleaner Production, 140, 1-35. doi:10.1016/j.jclepro.2016.09.078. google scholar
• Mamdani, E. H. (1974). Application of fuzzy algorithms for control of simple dynamic plant. Proceedings of The Institution of Electrical Engineers, 121(12), 1585-1588. doi:10.1049/piee.1974.0328. google scholar
• Mamdani, E. H., & Assilian, S. (1975). An experiment in linguistic synthesis with a fuzzy logic controller. International Journal of Man-Machine Studies, 7(1), 1-13. doi:10.1016/s0020-7373(75)80002-2. google scholar
• Mehta, J. (2004). Supply Chain Management in a Global Economy. Total Quality Management & Business doi:10.1080/14783360410001680279. google scholar
• Mentzer, J. T., DeWitt, W., Keebler, J. S., Min, S., Nix, N. W., Smith, C. D., & Zacharia, Z. G. (2001). Defining supply chain management. Journal of Business Logistics, 22(2), 1-25. doi:10.1002/J.2158-1592.2001.TB00001.X google scholar
• Michelsen, G., & AdomBent, M. (2014). Nachhaltige Entwicklung: Hintergründe und Zusammenhange. In H.Heinrichs & G.Michelsen (Eds.), Nachhaltigkeitswissenschaften (pp. 3-59). Springer Spektrum, Berlin, Heidelberg. doi: 10.1007/978-3-642-25112-2_1. google scholar
• Myers, S. S., & Patz, J. A. (2009). Emerging threats to human health from global environmental change. Annual Review of Environment and Resources, 34, 223-252. doi:10.1146/annurev.environ.03310. google scholar
• Oktay, D. (2014). Towards human sustainable urbanism: Interrogating the contemporary approaches and the traditional Turkish (Ottoman) City. In R.G. Mira, & A. Dumitru, (Eds.), Urban sustainability innovative spaces, vulnerabilities and opportunities (pp.33-48). Spain: Deputacion Provincial de A Coruna. google scholar
• Oliver, R. K., & Webber, M. D. (1982). Supply-chain management: Logistics catches up with strategy. In M. L. Christopher (Eds.), Logistics: The Strategic Issues (pp. 63 75). London: Chapman & Hall. doi:10.1007/978-3-642-27922-5_15. google scholar
• Otto, A. (2003). Supply Chain Event Management: Three Perspectives. The International Journal of Logistics Management, 14(2), 1-13. doi:10.1108/09574090310806567. google scholar
• Özçelik, F., & Avcı Öztürk, B. A. (2014). Research on barriers to sustainable supply chain management and sustainable supplier selection criteria. Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 16(2), 259-279. doi:10.16953/DEUSBED.89025. google scholar
• Öztayşi, B., Behret, H., Kabak, Ö., Sarı, I. U., & Kahraman, C. (2013). Fuzzy inference systems for disaster response. InB. Vitoriano, J. Montero, D. Ruan (Eds.), Decision aid models for disaster management and emergencies (pp. 75-94). Atlantis Press, Paris. doi:10.2991/978-94-91216-74-9_4 google scholar
• Öztürk, N. (2002). Ahilik teşkilatı ve günümüz ekonomisi, çalışma hayatı ve iş ahlakı açısından değerlendirilmesi. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi, 7, 43-56. google scholar
• Prisecaru, P. (2016). Challenges of the fourth industrial revolution. Knowledge Horizons. Economics, 8(1), 57-62. google scholar
• Rao, C., Goh, M., & Zheng, J. (2017). Decision mechanism for supplier selection under sustainability. International Journal of Information Technology & Decision Making, 16(01), 87-115. doi:10.1142/s0219622016500450. google scholar
• Rao, C. P., & Kiser, G. E. (1980). Educational buyers’ perceptions of vendor attributes. Journal of Purchasing and Materials Management, 16(4), 25-30. doi:10.1111/j.1745-493x.1980.tb00023.x google scholar
• Ravindran, A.R., & Warsing Jr, D.P. (2013). Supply Chain Engineering Models and Applications. CRC Press, Boca Raton, FL. doi:10.1201/b13184 google scholar
• Reusswig, F. (1994). Lebensstile und Ökologie. In J.S. Dangschat & J. Blasius (Eds.), Lebensstile in Den Stadten (pp.91-103). Wiesbaden: Springer Fachmedien. doi:10.1007/978-3-663-10618-0_6. google scholar
• Rezaei, J. (2019). Sustainable supplier selection: A process view. In Sarkis J, Elgar E, (eds.), Handbook on the sustainable supply chain (pp. 136-147), Cheltenham: Edward Elgar Publishing. doi:10.4337/9781786434272.00013. google scholar
• Ross, T. J. (2004). Fuzzy logic with engineering applications. John Wiley & Sons. google scholar
• Roy, S. A., Ali, S. M., Kabir, G., Enayet, R., Suhi, S. A., Haque, T., & Hasan, R. (2019). A framework for sustainable supplier selection with transportation criteria. International Journal of Sustainable Engineering, 13(2), 77-92. doi:10.1080/19397038.2019.1625983. google scholar
• Sabaghi, M., Mascle, C., Baptiste, P., & Rostamzadeh, R. (2016). Sustainability assessment using fuzzy-inference technique (SAFT): A methodology toward green products. Expert Systems With Applications, 56, 69-79. doi:10.1016/j.eswa.2016.02.038. google scholar
• Seçkin, F. (2018). Tedarik zinciri yönetiminde ve tedarikçi seçiminde sürdürülebilirlik kavramının gelişimi. AURUM Mühendislik Sistemleri ve Mimarlık Dergisi, 2(2), 45-64. google scholar
• Sikdar, S. K. (2003). Sustainable development and sustainability metrics. AIChE Journal, 49(8), 1928-1932. doi:10.1002/aic.690490802. google scholar
• Sisco. C., Chorn, B., & Pruzan-Jorgensen, P. M. (2010). Supply chain sustainability: A practical guide for continuous ımprovement. Norway, United Nations Global Compact. google scholar
• Stindt, D. (2017). A generic planning approach for sustainable supply chain management - how to integrate concepts and methods to address the issues of sustainability? Journal of Cleaner Production, 153, 146-163. doi:10.1016/j.jclepro.2017.03.126. google scholar
• Sugeno, M. (1985). An introductory survey of fuzzy control. Information Sciences, 36(1-2), 59-83. doi:10.1016/0020-0255(85)90026-x. google scholar
• Sugeno, M., & Kang, G. . (1988). Structure identification of fuzzy model. Fuzzy Sets and Systems, 28(1), 15-33. doi:10.1016/0165-0114(88)90113-3. google scholar
• Şen, Z. (2020). Bulanık mantık ilkeleri ve modelleme. Su Vakfı, 3. baskı, İstanbul. google scholar
• Tahriri, F., Mousavi, M., Hozhabri Haghighi, S., & Zawiah Md Dawal, S. (2014). The application of fuzzy delphi and fuzzy inference system in supplier ranking and selection. Journal of Industrial Engineering International, 10(3), 1-16. doi:10.1007/s40092-014-0066-6. google scholar
• Tate, W.L., Ellram, L.M., & Dooley, K.J. (2012). Environmental purchasing and supplier management (EPSM): Theory and practice. Journal of Purchasing and Supply Management, 18, 173-188. doi:10.1016/j.pursup.2012.07.001. google scholar
• Takagi, T., & Sugeno, M. (1985). Fuzzy identification of systems and its applications to modeling and control. IEEE Transactions on Systems, Man, and Cybernetics, SMC-15(1), 116-132. doi:10.1016/b978-1-4832-1450-4.50045-6. google scholar
• Umarusman, N., & Hacıvelioğulları, T. (2020). Fuzzy inference systems in sustainable supplier selection. In: supply chain sustainability (pp. 1-38), Walter de Gruyter GmbH & Co KG. doi:10.1515/9783110628593-001 google scholar
• Weber, C. A., Current, J. R., & Benton, W. C. (1991). Vendor selection criteria and methods. European Journal of Operational Research, 50(1), 2-18. doi:10.1016/0377-2217(91)90033- google scholar
• Wu, J., Zhang, Q., Li, A., & Liang, C. (2015). Historical landscape dynamics of inner Mongolia: Patterns, drivers, and impacts. Landscape Ecology, 30(9), 1579-1598. doi:10.1007/s10980-015-0209-1. google scholar
• Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338-353. Doi:10.1016/S0019-9958(65)90241-X. google scholar
• Zadeh, L. A. (1988). Fuzzy logic. Computer, 21(4), 83-93. doi:10.1109/2.53. google scholar
• Zadeh, L. A. (1975). The concept of a linguistic variable and its application to approximate reasoning-I. Information sciences, 8(3), 199-249.doi:10.1016/0020-0255(75)90017-1 google scholar
• Zadeh, L. A. (2008). Is there a need for fuzzy logic? Information Sciences, 178(13), 2751-2779. doi:10.1109/nafips.2008.4531354. google scholar