Yıl: 2022 Cilt: 3 Sayı: 1 Sayfa Aralığı: 1 - 13 Metin Dili: İngilizce DOI: 10.14744/ytu.jame.2022.00001 İndeks Tarihi: 18-05-2023

Managing supplier selection problem with integrated fuzzy AHP and fuzzy VIKOR: A manufacturing company case

Öz:
The ability of businesses to gain a strong place in the sector in which they operate is directly related to the effective management of each member of the supply chain. In the globalizing world with increasing competitive conditions, businesses have to manage their supply chains efficiently to be successful in the market. Companies should improve their strategies by rapidly adapting to the new circumstances formed by various crises such as wars, climate change, or pandemics. The high performance of a business is greatly correlated with the performance of its suppliers. Therefore, supplier selection by evaluating supplier performance is a Multi-Criteria Decision-Making (MCDM) problem that simultaneously includes many qualitative and quan- titative factors. In this article, the performances of the suppliers of a Turkish small-medium enterprise (SME) operating in the manufacturing sector during COVID-19 are evaluated using an integrated fuzzy MCDM technique. Despite its importance, supplier selection is less con- sidered for SMEs. The purpose of including fuzzy logic in the study is to ensure that linguistic expressions are converted into fuzzy numbers to overcome uncertainty and subjectivity. Four supplier alternatives are evaluated by four main criteria, and in total by eleven sub-criteria de- termined by expert opinions. The weights of the performance criteria are obtained by the Fuzzy Analytic Hierarchy Process (FAHP), and the performance ranking of the suppliers is deter- mined by the fuzzy VIKOR. The absence of a manufacturing sector-based study on SMEs op- erating in Turkey during the COVID-19 period constitutes the main motivation of this article.
Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
  • [1] Chopra, S., Meindl, P., & Kalra, D. V. (2013). Supply chain management: Strategy, planning, and operation (5th edition). 232, Pearson.
  • [2] Jain V., Wadhwa S., & Deshmukh S. G. (2006). Mod- elling and analysis of supply chain dynamics: a High Intelligent Time (HIT) petri net based approach. International Journal of Industrial and Systems Engi- neering, 1(1–2), 59–86. [CrossRef]
  • [3] Wieland, A. (2021). Dancing the supply chain: To- ward transformative supply chain management. Journal of Supply Chain Management, 57(1), 58– 73. [CrossRef]
  • [4] Sodhi M. M. S., & Tang C. S. (2021). Supply chain management for extreme conditions: Research op- portunities. Journal of Supply Chain Management, 57(1), 7–16. [CrossRef]
  • [5] Rezaei, A., Rahiminezhad Galankashi, M., Man- soorzadeh, S., & Mokhatab Rafiei, F. (2021). Supplier selection and order allocation with lean manufactur- ing criteria: An integrated MCDM and bi-objective modelling approach, Engineering Management Jour- nal, 32(4), 253–271. [CrossRef]
  • [6] Saputro, T. E., Figueira, G., & Almada-Lobo, B. (2020). A comprehensive framework and literature review of supplier selection under different purchas- ing strategies. Computers & Industrial Engineering, 167, Article 108010. [CrossRef]
  • [7] Coskun, S., Polat, O., & Kara, B. (2015). A decision model for supplier selection absed on business sys- tem management and safety criteria and application of the model. Pamukkale University Journal of Engi- neering Sciences, 21(4), 134–144. [CrossRef]
  • [8] Dickson, G. W. (1966). An analysis of vendor selec- tion systems and decisions. Journal of Purchasing, 2(1), 5–17. [CrossRef]
  • [9] Talluri, S., & Narasimhan, R. (2004). A methodolo- gy for strategic sourcing. European Journal of Opera- tional Research, 154(1), 236–250. [CrossRef]
  • [10] Winston, W. L., & Goldberg, J. B. B. (2004). Opera- tions research: Applications and algorithms (4th edi- tion). Cengage Learning.
  • [11] Haq A. N., & Kannan G. (2006). Fuzzy analytical hierarchy process for evaluating and selecting a ven- dor in a supply chain model. The International Jour- nal of Advanced Manufacturing Technology, 29(7–8), 826–835. [CrossRef]
  • [12] Gules, K. H., Cagliyan, V., & Sener, T. (2014). Sup- plier selection based on analytic hierarchy process methods in Garment sektor. Selcuk University Jour- nal of Institute of Social Science, vol. Special Ed.,159– 170. [Turkish]
  • [13] Li, F., Wu, C. H., Zhou, L., Xu, G., Liu, Y., & Tsai S. B. (2021). A model integrating environmental con- cerns and supply risks for dynamic sustainable sup- plier selection and order allocation. Soft Computing, 25(1), 535–549. [CrossRef]
  • [14] Alamroshan, F., La’li, M., & Yahyaei M. (2022). The green-agile supplier selection problem for the medical devices: a hybrid fuzzy decision-making approach. Environmental Science and Pollution Re- search, 29(5), 6793–6811. [CrossRef]
  • [15] Gebre, S. L., Cattrysse, D., Alemayehu, E., & Van Orshoven J. (2021). Multi-criteria decision making methods to address rural land allocation problems: A systematic review. International Soil and Water Conservation Research, 9(4), 490–501. [CrossRef]
  • [16] Aruldoss M, Lakshmi T. M., & Prasanna Venkatesan V. (2013).A survey on multi criteria decision making methods and its applications. American Journal of Information Systems, 1(1), 31–43.
  • [17] Narasimhan R. (1983). An analytical approach to supplier selection. Journal of Purchasing Materials Management, 19(4), 27–32. [CrossRef]
  • [18] Orji, I. J., Kusi-Sarpong, S., & Gupta H. (2019). The critical success factors of using social media for sup- ply chain social sustainability in the freight logistics industry. International Journal of Production Re- search, 58(5), 1522–1539. [CrossRef]
  • [19] Mastrocinque, E., Ramírez, F. J., Honrubia-Escribano A., & Pham D. T. (2020). An AHP-based multi-crite- ria model for sustainable supply chain development in the renewable energy sector. Expert Systems with Applications, 150, Article 113321. [CrossRef]
  • [20] Kusi-Sarpong S., Gupta H., & Sarkis J. (2018). A sup- ply chain sustainability innovation framework and evaluation methodology. International Journal of Production Research, 57(7), 1990–2008. [CrossRef]
  • [21] Gupta H., Kusi-Sarpong S., & Rezaei J. (2020). Bar- riers and overcoming strategies to supply chain sus- tainability innovation. Resources, Conservation & Recycling, 161, Article 104819. [CrossRef]
  • [22] Al-Husain, R., & Khorramshahgol R. (2020). Incor- porating analytical hierarchy process and goal pro- gramming to design responsive and efficient supply chains. Operations Research Perspectives, 7, Article 100149. [CrossRef]
  • [23] Yıldız, A., &. Yayla, A. Y. (2015). Multi-criteria deci- sion-making methods for supplier selection: a liter- ature review. The South African Journal of Industrial Engineering, 26, 2, 158–177. [CrossRef]
  • [24] Chen C. H. (2021). A hybrid multi-criteria deci- sion-making approach based on ANP-entropy TOP- SIS for building materials supplier selection. Entro- py, 23(12), Article 1597. [CrossRef]
  • [25] Liu, G., Fan, S., Tu, Y., & Wang, G. (2021) Innovative supplier selection from collaboration perspective with a hybrid MCDM model: A case study based on NEVs manufacturer. Symmetry, 13(1), 143. [CrossRef]
  • [26] Mina H., Kannan D., Gholami-Zanjani, S. M., & Biuki, M. (2021). Transition towards circular sup- plier selection in petrochemical industry: A hy- brid approach to achieve sustainable development goals. Journal of Cleaner Production, 286, Article 125273. [CrossRef]
  • [27] Li, D. P., Xie, L., Cheng, P. F., Zhou, X. H., & Fu, C. X. (2021). Green supplier selection under cloud manufacturing environment: A hybrid MCDM model. Sage Open, 11(4), [Epub ahead of print]. doi: 10.1177/21582440211057112. [CrossRef]
  • [28] Mohammed, A., Yazdani, M., Oukil, A., & Santi- banez Gonzalez E. D. R. (2021). A hybrid MCDM approach towards resilient sourcing. Sustainability, 13(5), Article 2695. [CrossRef]
  • [29] Jovčić, S., & Průša, P. (2021). A hybrid MCDM ap- proach in third-party logistics (3PL) provider selec- tion. Mathematics, 9(21), Article 2729. [CrossRef]
  • [30] Hoseini, S. A., Fallahpour, A., Wong, K. Y., Mahdi- yar, A., Saberi, M., & Durdyev, S. (2021). Sustainable Supplier selection in construction industry through hybrid fuzzy-based approaches. Sustainability, 13(3), Article 1413. [CrossRef]
  • [31] Ghosh, S., Mandal, M. C., & Ray, A. (2021). Green supply chain management framework for supplier selection: an integrated multi-cri- teria decision-making approach. International Journal of Management Science and Engineer- ing Management, [Epub ahead of print] doi: 10.1080/17509653.2021.1997661. [CrossRef]
  • [32] Aissaoui N., Haouari M., & Hassini E. (2007). Sup- plier selection and order lot sizing modeling: A review. Computers & Operations Research, 34(12), 3516–3540. [CrossRef]
  • [33] 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. [CrossRef]
  • [34] Chai, J., Liu, J. N. K., & Ngai, E. W. T. (2013). Applica- tion of decision-making techniques in supplier selec- tion: A systematic review of literature. Expert Systems with Applications, 40(10), 3872–3885. [CrossRef]
  • [35] Wetzstein, A., Hartmann, E.,. Benton, W.C., & Ho- henstein, N. O. (2016). A systematic assessment of supplier selection literature – State-of-the-art and future scope. International Journal of Production Economics, 182, 304–323. [CrossRef]
  • [36] Aouadni, S., Aouadni, I., & Rebaï, A. (2019). A sys- tematic review on supplier selection and order al- location problems. Journal of Industrial Engineering International, 15(1), 267–289. [CrossRef]
  • [37] Sałabun, W., Watróbski, J., & Shekhovtsov, A. (2020). Are MCDA methods benchmarkable? A compara- tive study of TOPSIS, VIKOR, COPRAS, and PRO- METHEE II methods. Symmetry, 12(9), Article 1549. [CrossRef]
  • [38] Özdemir, A., & Demirer B. (2015). Application of the dynamic programming modelweighted with an- alytic hierarchy process inpurchasing process. Afyon Kocatepe University Journal of Economy Adminstra- tion Science, 17(1), 61–69. [Turkish] [CrossRef]
  • [39] Celikyay, S. (2002). Çok amaçlı savaş uçağı seçiminde çok ölçütlü karar verme yöntemlerinin uygulan- ması [Yayınlanmamış Yüksek Lisans Tezi]. İstanbul Teknik Üniversitsi Fen Bilimleri Enstitüsü. [Turkish]
  • [40] T. L. Saaty. (1996). Decision making with dependence and feedback. The analytic network process. 9. cilt/ Analytic hierarchy process series. RWS Publication.
  • [41] Hatami-Marbini, A., & Tavana, M. (2011). An ex- tension of the Electre I method for group deci- sion-making under a fuzzy environment. Omega, 39(4), 373–386. [CrossRef]
  • [42] Brans, J. P., Vincke, P., & Mareschal, B. (1986). How to select and how to rank projects: The Promethee method. European Journal of Operational Research, 24(2), 228–238. [CrossRef]
  • [43] Bhutia, P.W., Phipon, R. (2012). Appication of ahp and topsis method for supplier selection problem. IOSR Journal of Engineering, 2(10), 43–50. [CrossRef]
  • [44] Opricovic, S., & Tzeng, G.H. (2007). Extended VIKOR method in comparison with outranking methods. European Journal of Operational Research, 178(2), 514–529. [CrossRef]
  • [45] Opricovic, S., & Tzeng G. H. (2004). Compromise solution by MCDM methods: A comparative analy- sis of VIKOR and TOPSIS. European Journal of Op- erational Research, 156(2), 445–455. [CrossRef]
  • [46] Fülöp, J. (2005). Introduction to decision making methods. in BDEI-3 Workshop, 1–15.
  • [47] Onay, O., & Cetin E. (2012). Determining the popularity of tourist destinations: İstanbul case. İşletme İktisadi Enstitüsü Yonetim Dergisi, 7, 90- 102. [Turkish]
  • [48] Yıldırım, B. F. (2015). ARAS method in multi cri- teria decision making. Kafkas University Economics and Administrative Sciences Faculty, 6(9), 285–296. [Turkish]
  • [49] Kozarević, S., & Puška, A. (2018). Use of fuzzy logic for measuring practices and performances of supply chain. Operations Research Perspectives, vol. 5, pp. 150–160. [CrossRef]
  • [50] Saaty, T. L. The Analytic Hierarchy Process. Mc- Graw-Hill, 1980. [CrossRef]
  • [51] Lyu, H. M., Zhou, W. H., Shen, S. L., & Zhou, A. N. (2020). Inundation risk assessment of metro system using AHP and TFN-AHP in Shenzhen. Sustainable Cities and Society, 56, Article 102103. [CrossRef]
  • [52] Ho, J. Y., Ooi, J., Wan Y. K., Andiappan V. (2021). Synthesis of wastewater treatment process (WWTP) and supplier selection via Fuzzy Analytic Hierarchy Process (FAHP). Journal of Cleaner Production, 314, 128104. [CrossRef]
  • [53] Tavana. M. A., Shaabani, S., Mohammadabadi, N. M, Varzgani. (2020). An integrated fuzzy AHP- fuzzy MULTIMOORA model for supply chain risk-ben- efit assessment and supplier selection. Sustainable Operations and Computers, 8(3), 238–261. [CrossRef]
  • [54] Karwal. R., Kumar, P., Bhandari, M., & Mittal M. L. (2021). Suppliers selection using fuzzy AHP and Fuzzy TOPSIS method—A case study of a bearing manufacturing company. Lecture Notes in Networks and Systems, 204, 275–288. [CrossRef]
  • [55] Ayhan, M.B. (2013). A fuzzy AHP approach for sup- plier selection problem: a case study in gearmotor company. The International Journal of Managing Value and Supply Chains, 4(3), 11–23. [CrossRef]
  • [56] Khan, A. U., & Ali, Y. (2021). Sustainable supplier se- lection for the cold supply chain (CSC) in the context of a developing country. Environment, Development and Sustainability, 23(9), 13135–13164. [CrossRef]
  • [57] Kumar, S., & Barman, A. G. (2021). Fuzzy TOPSIS and fuzzy VIKOR in selecting green suppliers for sponge iron and steel manufacturing. Soft Comput- ing, 25(8), 6505–6525. [CrossRef]
  • [58] Wang, C. N., Nguyen, N. A. T., Dang, T. T., & Lu C. M. (2021). A compromised decision-making approach to third-party logistics selection in sus- tainable supply chain using Fuzzy AHP and fuzzy VIKOR methods. Mathematics, 9, 886. [CrossRef]
  • [59] Akyüz, G. (2012). Bulanık vikor yöntemi ile tedar- ikçi seçimi. Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 1, 198–215, 2012. [Turkish]
  • [60] Tayalı, H. A. (2017). WASPAS method on supplier selection. The Journal of Academic Social Science, 5, 368–380. [Turkish]
  • [61] Ramavandi, B., Darabi A. H., & Omidvar, M. (2021). Risk assessment of hot and humid environments through an integrated fuzzy AHP-VIKOR method. Stochastic Environmental Research and Risk Assess- ment, 35(12) 2425–2438. [CrossRef]
APA ÇEKİÇ C, GÜL N, GÜNERİ A (2022). Managing supplier selection problem with integrated fuzzy AHP and fuzzy VIKOR: A manufacturing company case. , 1 - 13. 10.14744/ytu.jame.2022.00001
Chicago ÇEKİÇ Cansel,GÜL Nezihe Nazlı,GÜNERİ Ali Fuat Managing supplier selection problem with integrated fuzzy AHP and fuzzy VIKOR: A manufacturing company case. (2022): 1 - 13. 10.14744/ytu.jame.2022.00001
MLA ÇEKİÇ Cansel,GÜL Nezihe Nazlı,GÜNERİ Ali Fuat Managing supplier selection problem with integrated fuzzy AHP and fuzzy VIKOR: A manufacturing company case. , 2022, ss.1 - 13. 10.14744/ytu.jame.2022.00001
AMA ÇEKİÇ C,GÜL N,GÜNERİ A Managing supplier selection problem with integrated fuzzy AHP and fuzzy VIKOR: A manufacturing company case. . 2022; 1 - 13. 10.14744/ytu.jame.2022.00001
Vancouver ÇEKİÇ C,GÜL N,GÜNERİ A Managing supplier selection problem with integrated fuzzy AHP and fuzzy VIKOR: A manufacturing company case. . 2022; 1 - 13. 10.14744/ytu.jame.2022.00001
IEEE ÇEKİÇ C,GÜL N,GÜNERİ A "Managing supplier selection problem with integrated fuzzy AHP and fuzzy VIKOR: A manufacturing company case." , ss.1 - 13, 2022. 10.14744/ytu.jame.2022.00001
ISNAD ÇEKİÇ, Cansel vd. "Managing supplier selection problem with integrated fuzzy AHP and fuzzy VIKOR: A manufacturing company case". (2022), 1-13. https://doi.org/10.14744/ytu.jame.2022.00001
APA ÇEKİÇ C, GÜL N, GÜNERİ A (2022). Managing supplier selection problem with integrated fuzzy AHP and fuzzy VIKOR: A manufacturing company case. journal of advances in manufacturing engineering (Online), 3(1), 1 - 13. 10.14744/ytu.jame.2022.00001
Chicago ÇEKİÇ Cansel,GÜL Nezihe Nazlı,GÜNERİ Ali Fuat Managing supplier selection problem with integrated fuzzy AHP and fuzzy VIKOR: A manufacturing company case. journal of advances in manufacturing engineering (Online) 3, no.1 (2022): 1 - 13. 10.14744/ytu.jame.2022.00001
MLA ÇEKİÇ Cansel,GÜL Nezihe Nazlı,GÜNERİ Ali Fuat Managing supplier selection problem with integrated fuzzy AHP and fuzzy VIKOR: A manufacturing company case. journal of advances in manufacturing engineering (Online), vol.3, no.1, 2022, ss.1 - 13. 10.14744/ytu.jame.2022.00001
AMA ÇEKİÇ C,GÜL N,GÜNERİ A Managing supplier selection problem with integrated fuzzy AHP and fuzzy VIKOR: A manufacturing company case. journal of advances in manufacturing engineering (Online). 2022; 3(1): 1 - 13. 10.14744/ytu.jame.2022.00001
Vancouver ÇEKİÇ C,GÜL N,GÜNERİ A Managing supplier selection problem with integrated fuzzy AHP and fuzzy VIKOR: A manufacturing company case. journal of advances in manufacturing engineering (Online). 2022; 3(1): 1 - 13. 10.14744/ytu.jame.2022.00001
IEEE ÇEKİÇ C,GÜL N,GÜNERİ A "Managing supplier selection problem with integrated fuzzy AHP and fuzzy VIKOR: A manufacturing company case." journal of advances in manufacturing engineering (Online), 3, ss.1 - 13, 2022. 10.14744/ytu.jame.2022.00001
ISNAD ÇEKİÇ, Cansel vd. "Managing supplier selection problem with integrated fuzzy AHP and fuzzy VIKOR: A manufacturing company case". journal of advances in manufacturing engineering (Online) 3/1 (2022), 1-13. https://doi.org/10.14744/ytu.jame.2022.00001