malatya turgut özal üniversitesi i̇şletme ve yönetim bilimleri dergisi Malatya Turgut Özal Üniversitesi İşletme ve Yönetim Bilimleri Dergisi 2717-7890 Malatya Turgut Özal Üniversitesi Business Administration İşletme COMPARISON OF ALTERNATIVE SUPPLIERS WITH FUZZY TOPSIS METHOD: AN APPLICATION IN READY-MIXED CONCRETE INDUSTRY ALTERNATİF TEDARİKÇİLERİN BULANIK TOPSIS YÖNTEMİ İLE KARŞILAŞTIRILMASI: HAZIR BETON SEKTÖRÜNDE BİR UYGULAMA https://orcid.org/0000-0002-8209-5714 Koc Erdinc Bingöl Üniversitesi, Bingöl, Türkiye 09 30 2020 1 2 128 146 07 28 2020 09 19 2020 Copyright © 2020, Malatya Turgut Özal Üniversitesi İşletme ve Yönetim Bilimleri Dergisi 2020 Malatya Turgut Özal Üniversitesi İşletme ve Yönetim Bilimleri Dergisi

Supplier selection problem is accepted among multi criteria decision making problems. Problems with multiple choice alternatives have conflicting decision criteria. Supplier selection is an important process that requires manufacturers to choose the most suitable supplier among the alternatives; because the appropriate supplier directly affects the cost of the product, the delivery time and quality of the customer. In this study, the criteria and alternatives were evaluated by discussing with the four producers operating in the ready mixed concrete sector. Fuzzy numbers that will minimize the linguistic uncertainties of decision-makers are combined with topsis, which is one of the multi-criteria decision-making methods, and a solution is sought with the fuzzy topsis method. As a result of the supplier selection problem, four alternatives are listed and the most suitable alternative is specified.

Tedarikçi seçim problemi çok kriterli karar verme problemleri arasında kabul edilmektedir. Birden fazla tercih alternatifinin bulunduğu problemler birbirleriyle çelişen karar kriterlerine sahiptir. Tedarikçi seçimi üreticilerin alternatifler arasında en uygun tedarikçiyi seçmelerini gerektiren önemli bir süreçtir; çünkü uygun tedarikçi ürünün maliyeti, müşterinin teslimat süresi, kalitesi gibi unsurlara doğrudan etki etmektedir. Bu çalışmada hazır beton sektöründe faaliyet gösteren dört üretici ile görüşülerek kriterler ve alternatifler değerlendirilmiştir. Karar alıcıların dilsel belirsizliklerini en aza indirgeyecek bulanık sayılar çok kriterli karar verme yöntemlerinden topsis ile birleştirilerek bulanık topsis yöntemi ile probleme çözüm aranmıştır. Tedarikçi seçim problemi sonucunda dört alternatif sıralanarak en uygun alternatif belirtilmiştir.

 Tedarikçi seçimi Bulanık Sayılar Topsis Bulanık Topsis Supplier Selection Fuzzy Numbers TOPSIS Fuzzy TOPSIS Aksoy, A., & Öztürk, N. (2011). Supplier selection and performance evaluation in just-in-time production environments. Expert Systems with Applications, 38(5), 6351–6359. https://doi.org/10.1016/j.eswa.2010.11.104 Barney, J. (1991). Firm Resources and Sustained Competitive Advantage. Journal of Management, 17(1), 99–120. Chai, J., Liu, J. N. K., & Ngai, E. W. T. (2013). Application of decision-making techniques in supplier selection: A systematic review of literature. Expert Systems with Applications, 40(10), 3872–3885. 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. https://doi.org/10.1016/j.eswa.2010.07.114 Chen, C. T. (2001). A fuzzy approach to select the location of the distribution center. Fuzzy Sets and Systems, 118(1), 65–73. https://doi.org/10.1016/S0165-0114(98)00459-X Chen, P. S., & Wu, M. T. (2013). A modified failure mode and effects analysis method for supplier selection problems in the supply chain risk environment: A case study. Computers and Industrial Engineering, 66(4), 634–642. https://doi.org/10.1016/j.cie.2013.09.018 Dargi, A., Anjomshoae, A., Galankashi, M. R., Memari, A., & Tap, M. B. M. (2014). Supplier selection: A fuzzy-ANP approach. Procedia Computer Science, 31(Itqm), 691–700. https://doi.org/10.1016/j.procs.2014.05.317 Ecer, F., & Küçük, O. (2008). Tedarikçi seçiminde analitik hiyerarşi yöntemi ve bir uygulama. Atatürk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 11(1), 355–369. Fombrun, C. (2018). Reputation Realizing Value from the Corporate Image. Harvard Business School Press. 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. https://doi.org/10.1016/j.aej.2016.01.005 Gencer, C., & Gürpinar, D. (2007). Analytic network process in supplier selection: A case study in an electronic firm. Applied Mathematical Modelling, 31(11), 2475–2486. https://doi.org/10.1016/j.apm.2006.10.002 Girubha, J., Vinodh, S., & Kek, V. (2016). Application of interpretative structural modelling integrated multi criteria decision making methods for sustainable supplier selection. Journal of Modelling in Management, 11(2), 358–388. https://doi.org/10.1108/JM2-02-2014-0012 Golmohammadi, D., Creese, R. C., Valian, H., & Kolassa, J. (2009). Supplier Selection Based on a Neural Network Model Using Genetic Algorithm. IEEE Transactions on Neural Netwoks, 20(2), 1504–1519. 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. https://doi.org/10.1016/j.jclepro.2017.03.125 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. https://doi.org/10.1016/j.ejor.2009.05.009 Jauhar, S. K., & Pant, M. (2017). Integrating DEA with DE and MODE for sustainable supplier selection. Journal of Computational Science, 21, 299–306. https://doi.org/10.1016/j.jocs.2017.02.011 Jazemi, R., Ghodsypour, S. H., & Gheidar-Kheljani, J. (2011). Considering supply chain benefit in supplier selection problem by using information sharing benefits. IEEE Transactions on Industrial Informatics, 7(3), 517–526. https://doi.org/10.1109/TII.2011.2158835 Kahraman, C., Cebeci, U., & Ulukan, Z. (2003). Multi‐criteria supplier selection using fuzzy AHP. Logistics Information Management, 16(6), 382–394. https://doi.org/10.1108/09576050310503367 Koc, E. (2019). Uluslararası Tedari̇kçi̇ Seçi̇m Problemi̇nde Bulanik Dematel Yöntemi̇ni̇n Kullanımı. Bingöl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 339–355. https://doi.org/10.29029/busbed.533628 Koç, E., Ulaş, D., & Çalipinar, H. (2018). The impact of supply chain integration on new product development performance: Evidence from Turkish manufacturing industry. International Journal of Supply Chain Management, 7(6), 365–374. Lima Junior, F. R., Osiro, L., & Carpinetti, L. C. R. (2014). A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection. Applied Soft Computing Journal, 21, 194–209. https://doi.org/10.1016/j.asoc.2014.03.014 Liu, J., Ding, F. Y., & Lall, V. (2000). Using data envelopment analysis to compare suppliers for supplier selection and performance improvement. Supply Chain Management, 5(3), 143–150. https://doi.org/10.1108/13598540010338893 Memari, A., Dargi, A., Akbari Jokar, M. R., Ahmad, R., & Abdul Rahim, A. R. (2019). Sustainable supplier selection: A multi-criteria intuitionistic fuzzy TOPSIS method. Journal of Manufacturing Systems, 50(April 2018), 9–24. https://doi.org/10.1016/j.jmsy.2018.11.002 Rajesh, G., & Malliga, P. (2013). Supplier selection based on AHP QFD methodology. Procedia Engineering, 64, 1283–1292. https://doi.org/10.1016/j.proeng.2013.09.209 Spears, N., Brown, T. J., & Dacin, P. A. (2006). Assessing the corporate brand: The Unique Corporate Association Valence (UCAV) approach. Journal of Brand Management, 14(1–2), 5–19. https://doi.org/10.1057/palgrave.bm.2550051 Su, C. J., & Chen, Y. A. (2018). Risk assessment for global supplier selection using text mining. Computers and Electrical Engineering, 68(September 2017), 140–155. https://doi.org/10.1016/j.compeleceng.2018.03.042 Sureeyatanapas, P., Sriwattananusart, K., Niyamosoth, T., Sessomboon, W., & Arunyanart, S. (2018). Supplier selection towards uncertain and unavailable information: An extension of TOPSIS method. Operations Research Perspectives, 5, 69–79. https://doi.org/10.1016/j.orp.2018.01.005 Wan, S., Xu, G., & Dong, J. (2017). Supplier selection using ANP and ELECTRE II in interval 2-tuple linguistic environment. Information Sciences, 385–386, 19–38. https://doi.org/10.1016/j.ins.2016.12.032 Zadeh, A. T. (1965). Fuzzy Sets. Information and Control, 8, 338–353. Zhang, M., Lettice, F., Chan, H. K., & Nguyen, H. T. (2018). Supplier integration and firm performance: the moderating effects of internal integration and trust. Production Planning and Control, 29(10), 802–813. https://doi.org/10.1080/09537287.2018.1474394