Abstract
Supplier selection is one of the key decisions in supply chain management. This study presents a new hybrid method of fuzzy decision-making trial and evaluation laboratory (DEMATEL), stepwise weight assessment ratio analysis (SWARA), and multi-objective optimization on the basis of ratio analysis (MOORA) in Neutrosophic environment to weigh evaluation criteria and rank suppliers. In this research, the supplier evaluation criteria are chosen based on the 10 C model and expert opinions. The most important and the least important criteria are determined using the fuzzy DEMATEL method. Then, the SWARA method in Neutrosophic environment is utilized to weigh the criteria. And the MOORA method in Neutrosophic environment is applied to rank suppliers. To describe the hybrid method, a numerical study in the supply chain of auto parts is presented and solved. Vague and imprecise input parameters make supplier selection decisions complicated. Neutrosophic logic is a comprehensive logic for demonstrating uncertainty in the decision-making process. This logic improves judgment accuracy and models uncertainty more effectively and flexibly than fuzzy logic. Supplier evaluation based on the 10 C model has not been performed in previous studies. Although fuzzy and intuitionistic fuzzy models have been applied in supplier selection, the use of Neutrosophic numbers has been very limited. Additionally, the combination of fuzzy DEMATEL and SWARA is proposed for the first time in this research to weigh supplier evaluation criteria. And the MOORA method in Neutrosophic environment is developed to rank suppliers.
Data availability
The research data is available upon request.
Abbreviations
- DEMATEL:
-
Decision-making trial and evaluation laboratory
- SWARA:
-
Stepwise weight assessment ratio analysis
- MOORA:
-
Multi-objective optimization on the basis of ratio analysis
- MCDM:
-
Multi-criteria decision-making
- TOPSIS:
-
Technique for order of preference by similarity to ideal solution
- DEA:
-
Data envelopment analysis
- AHP:
-
Analytical hierarchy process
- QFD:
-
Quality function deployment
- ANP:
-
Analytical network process
- BWM:
-
Best–worst method
- CFCS:
-
Converting fuzzy data into crisp scores
- WASPAS:
-
Weighted aggregated sum product assessment
- COPRAS:
-
Complex proportional assessment
References
Aliakbari, A., Seifbarghy, M.: A supplier selection model for social responsible supply chain. J. Optim. Ind. Eng. 4(28), 41–53 (2011)
Alinezad, A., Seif, A., Esfandiari, N.: Supplier evaluation and selection with QFD and FAHP in a pharmaceutical company. Int. J. Adv. Manuf. Technol. 68, 355–364 (2013)
Atanassov, K.T.: Intuitionistic fuzzy sets. Fuzzy Sets Syst. 20, 87–96 (1986)
Brauers, W., Zavadskas, E.K.: The MOORA method and its application to privatization in a transition economy. Control. Cybern. 35(2), 445–469 (2006)
Bevilacqua, M., Ciarapica, F.E., Marchetti, B.: Development and test of a new fuzzy-QFD approach for characterizing customers rating of extra virgin olive oil. Food Qual. Prefer. 24, 75–84 (2012)
Chan, F., Kumar, N., Kumar Tiwari, M., Lau, H.C.W., Choy, K.L.: Global supplier selection: a fuzzy-AHP approach. Int. J. Prod. Res. 46(14), 3825–3857 (2008)
Chen, C.H.: A new multi-criteria assessment model combining GRA techniques with intuitionistic fuzzy entropy-based TOPSIS method for sustainable building materials supplier selection. Sustainability 11(8), 2265 (2019)
Cordell, A., & Thompson, I. (2019). Carter’s 10Cs of Supplier Appraisal. The procurement models handbook. Third edition, Routledge.
Das, R., Smarandache, F., Tripathy, B.C.: Neutrosophic fuzzy matrices and some algebraic operation. Neutrosophic Sets Syst. 32, 401–409 (2020)
Das, S., Das, R., Tripathy, B.C.: Multi-criteria group decision making model using single-valued neutrosophic set. LogForum 16(3), 421–429 (2020)
Das, R., Tripathy, B.C.: Separation axioms on spatial topological space and spatial data analysis. Ann. Data Sci. 11(2), 411–423 (2024)
Deli, I., Subas, Y.: Single valued neutrosophic numbers and their applications to multicriteria decision making problem. Neutrosophic Sets Syst. 2(1), 1–13 (2014)
De Boer, L., Labro, E., Morlacchi, P.: A review of methods supporting supplier selection. Eur. J. Purch. Supply Manag. 7, 75–89 (2001)
Dursun, M., Şener, Z.: An integrated DEMATEL-QFD model for medical supplier selection, world academy of science, engineering and technology. Int. J. Mech. Aerosp. Ind. Mechatr. Manuf. Eng. 8, 592–596 (2014)
Gören, H.G.: A decision framework for sustainable supplier selection and order allocation with lost sales. J. Clean. Prod. 183, 1156–1169 (2018)
Görçün, Ö.F., Aytekin, A., Korucuk, S.: Fresh food supplier selection for global retail chains via bipolar neutrosophic methodology. J. Clean. Prod. 419, 138156 (2023)
Ha, S.H., Krishnan, S.H.: A hybrid approach to supplier selection for the maintenance of a competitive supply chain. Expert Syst. Appl. 34, 1303–1311 (2008)
Ho, W., Xu, W., Dey, P.K.: Multi-criteria decision making approaches for supplier evaluation and selection: a literature review. Eur. J. Oper. Res. 202, 16–24 (2010)
Jadidi, O., Hong, T.S., Firouzi, F., Yusuff, R.M., Zulkifli, N.: TOPSIS and fuzzy multi-objective model integration for supplier selection problem. J. Achiev. Mater. Manuf. Eng.. 31, 762 (2008)
Karsak, E.E., Dursun, M.: An integrated supplier selection methodology incorporating QFD and DEA with imprecise data. Expert Syst. Appl. 41, 6995–7004 (2014)
Kaya, R., Yet., B.: Building Bayesian networks based on DEMATEL for multiple criteria decision problems: a supplier selection case study. Expert Syst. Appl. 134, 234–248 (2019)
Kersuliene, V., Zavadskas, E.K., Turskis, Z.: Selection of rational dispute resolution method by applying new step-wise weight assessment ratio analysis (SWARA). J. Bus. Econ. Manag. 11(2), 243–258 (2010)
Kilincci, O., Onal, S.A.: Fuzzy AHP approach for supplier selection in a washing machine company. Expert Syst. Appl. 38, 9656–9664 (2011)
Kumaraswamy, A.H., Bhattacharya, A., Kumar, V., & Brady, M. (2011). An integrated QFD-TOPSIS methodology for supplier selection in SMEs, in: 2011 Third International Conference on Computational Intelligence, Modelling and Simulation, CIMSiM. pp. 271–276.
Lee, E.-K., Ha, S., Kim, S.-K.: Supplier selection and management system considering relationships in supply chain management. IEEE Trans. Eng. Manag. 48, 307–318 (2001)
Lee, Y.-T., Wu, W.-W., Tzeng, G.-H.: An effective decision-making method using a combined QFD and ANP approach. WSEAS Trans. Bus. Econ. 12, 541–551 (2008)
Menon, R.R., Ravi, V.: Using AHP-TOPSIS methodologies in the selection of sustainable suppliers in an electronics supply chain. Cleaner Mater. 5, 100130 (2022)
Önüt, S., Soner Kara, S., Isik, E.: Long term supplier selection using a combined fuzzy MCDM approach: a case study for a telecommunication company. Expert Syst. Appl. 36, 3887–3895 (2009)
Opricovic, S., Tzeng, G.-H.: Compromise solution by MCDM methods: a comparative analysis of VIKOR and TOPSIS. Eur. J. Oper. Res. 156(2), 445–455 (2004)
Oroojeni, M.J.M., Darvishi, M., Oroojeni, M.J.A.: Green supplier selection for the steel industry using BWM and fuzzy TOPSIS: a case study of Khouzestan steel company. Sustainable Futures 2, 100012 (2020)
Rajesh, G., Malliga, P.: Supplier selection based on AHP QFD methodology. Procedia Eng. 64, 1283–1292 (2013)
Saaty, T.L. (1988). What is the analytic hierarchy process? In: mathematical Models for Decision Supported. Springer, pp 109–121
Smarandache, F. (2013). A unifying field in Logics: Neutrosophic Logic. Neutrosophy, Neutrosophic set, Neutrosophic Probability and statistics, American research press, Rehoboth, Fourth Edition
Shil, B., Sinha, P., Tripathy, B.C., Das, S.: VNS based MADM-strategy under possibility environment. Ann. Data Sci. 10(6), 1571–1582 (2023)
Tavana, M., Shaabani, A., di Caprio, D., Amiri, M.: An integrated and comprehensive fuzzy multicriteria model for supplier selection in digital supply chains. Sustain. Operat. Comput. 2, 149–169 (2021)
Wang, Z., Cai, Q., Wei, G.: Modified TODIM method based on cumulative prospect theory with Type-2 neutrosophic number for green supplier selection. Eng. Appl. Artif. Intell. 126, 106843 (2023)
Yazdani, M., Ebadi Torkayesh, A., Stević, Ž, Chatterjee, P., Asgharieh Ahari, S., Hernandez, V.D.: An interval valued neutrosophic decision-making structure for sustainable supplier selection. Expert Syst. Appl. 183, 115354 (2021)
Zadeh, L.A.: Fuzzy sets. Inf. Control. 8(3), 338–353 (1965)
Zouggari, A., Benyoucef, L.: Simulation based fuzzy TOPSIS approach for group multi-criteria supplier selection problem. Eng. Appl. Artif. Intell. 25, 507–519 (2012)
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Conceptualization and Methodology: [Mehdi Seifbarghy]. Writing, reviewing and editing: [Mehdi Seifbarghy, Mohsen Hamidi].
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Seifbarghy, M., Hamidi, M. Supplier selection in Neutrosophic environment with a hybrid fuzzy decision-making method. OPSEARCH (2025). https://doi.org/10.1007/s12597-025-01030-9
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DOI: https://doi.org/10.1007/s12597-025-01030-9