Industrial Management Studies

Current Issue

By Issue

By Author

By Subject

Author Index

Keyword Index

About Journal

Aims and Scope

Publication Ethics

Indexing and Abstracting

Related Links

FAQ

Peer Review Process

Journal Metrics

News

Memorandum of Understanding between the Quarterly and the Iranian Management Sciences Association

Article Writing Guide

Files

Reviewer 1402

Reviewer 1401

Reviewer 1400

Consultants

Publons

Supplier Selection Problem Using Combined Approaches of Neutrosophic-Based Quality Function Deployment and EDAS

Document Type : Research Paper

Authors

1 Professor, Department of Industrial Engineering, Faculty of Engineering, Alzahra University, Tehran, Iran

2 BSc, Department of Industrial Engineering, Faculty of Engineering, Alzahra University, Tehran, Iran

10.22054/jims.2024.79614.2914

Abstract

The evaluation and selection of suppliers is a crucial issue in supply chain management. This problem has grown increasingly uncertain due to the influence of imprecise parameters, and various tools have been proposed for weighting criteria and evaluating supplier scores for each criterion. Neutrosophic numbers, a modern tool for handling uncertainty, ambiguity, and inconsistency, are introduced to tackle such challenges. As the most comprehensive form of non-classical logic after fuzzy and intuitionistic fuzzy logic, Neutrosophic logic assigns degrees of membership, non-membership, and hesitation independently between zero and one. In this research, the quality function deployment (QFD) technique is developed in a Neutrosophic environment to identify and weigh supplier evaluation criteria. Additionally, the Neutrosophic EDAS approach is proposed for selecting top suppliers. A numerical study of the pharmaceutical industry demonstrates that geographical location and supplier experience are the two most critical criteria, and the second supplier is chosen as the best.

Keywords

Main Subjects

References
  1. .Abdel-Basset, M., Manogaran, G., Gamal, A., & Smarandache, F. (2019). A group decision making framework based on neutrosophic TOPSIS approach for smart medical device selection. Journal of medical systems, 43, 1-13. https://doi.org/10.1007/s10916-019-1156-1.
  2. 3.Adalı, E.A., Öztaş, T., Özçil, A., Öztaş, G.Z. & Tuş, A. (2023). A new multi-criteria decision-making method under neutrosophic environment: ARAS method with single valued neutrosophic numbers. International Journal of Information Technology and Decision making, 22(1), 57-87. https://doi.org/10.1142/S0219622022500456.
  3. 4.Akao, Y., & Mazur, G.H. (2003). The leading edge in QFD: past, present and future, International Journal of Quality and Reliability Management, 20(1), 20–35. https://doi.org/10.1108/02656710310453791.
  4. 5.Aliakbari, A., & Seifbarghy, M. (211). A supplier selection model for social responsible supply chain. Journal of Optimization in Industrial Engineering, 4(28), 41-53.
  5. 6.Alinezad, A., Seif, A., & Esfandiari, N. (2013). Supplier evaluation and selection with QFD and FAHP in a pharmaceutical company, International Journal of Advanced Manufacturing Technology, 68, 355–364. https://doi.org/10.1007/s00170-013-4733-3.
  6. 7.Alzahrani, F.A., Ghorui, N., Gazi, K.H., Giri, B.C., Ghosh, A., & Mondal, S.P. (2023). Optimal site selection for women university using neutrosophic multi-criteria decision making approach. Buildings, 13 (1), 152. https://doi.org/10.3390/buildings13010152.
  7. 8.Atanassov, K.T. (1986). Intuitionistic Fuzzy Sets, Fuzzy Sets and Systems, 20, 87-9.
  8. 9.Bevilacqua, M., Ciarapica, F.E., & Marchetti, B. (2012). Development and test of a new fuzzy-QFD approach for characterizing customers rating of extra virgin olive oil, Food Quality Preference, 24,75–84. https://doi.org/10.1016/j.foodqual.2011.09.005.
  9. 10.Chan, F., Kumar, N., Kumar Tiwari, M., Lau, H. C. W., & Choy, K. L. (2008). Global supplier selection: A fuzzy-AHP approach, International Journal of Production Research,46(14), 3825-3857. https://doi.org/10.1080/00207540600787200.
  10. 11.Chen, C.H. (2019). 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. https://doi.org/10.3390/su11082265.
  11. 12.De Boer, L., Labro, E., & Morlacchi, P. (2001). A review of methods supporting supplier selection, European Journal of Purchasing and Supply Management. 7, 75–89. https://doi.org/10.1016/S0969-7012(00)00028-9.
  12. 13.Deli, I., & Subas Y. (2014). Single valued neutrosophic numbers and their applications to multicriteria decision making problem. Neutrosophic Sets and Systems, 2(1), 1-13.
  13. 14.Dursun, M., & Şener, Z. (2014). An integrated DEMATEL-QFD model for medical supplier selection, world academy of science, engineering and technology, International Journal of Mechanical Aerospace Industrial Mechatronic Manufacturing Engineering, 8, 592–596.
  14. 15.Görçün, Ö.F., Aytekin, A., & Korucuk, S. (2023). Fresh food supplier selection for global retail chains via bipolar neutrosophic methodology. Journal of Cleaner Production, 419, 138156. https://doi.org/10.1016/j.jclepro.2023.138156.
  15. 16.Ha, S.H., & Krishnan, S.H. (2008). A hybrid approach to supplier selection for the maintenance of a competitive supply chain, Expert Systems with Applications. 34,1303–1311. https://doi.org/10.1016/j.eswa.2006.12.008.
  16. 17.Ho, W., Xu, W., & Dey, P.K. (2010). Multi-criteria decision making approaches for supplier evaluation and selection: A literature review, European Journal of Operational Research. 202, 16–24. https://doi.org/10.1016/j.ejor.2009.05.009.
  17. 18.Hwang, C.L. & Yoon, K. (1981) Multiple Attribute Decision Making: Methods and Applications, A State-of-the-Art Survey. Springer-Verlag.
  18. 19.Jadidi, O., Hong T.S., Firouzi, F. Yusuff, R.M., & Zulkifli, N. (2008). TOPSIS and fuzzy multi-objective model integration for supplier selection problem, in Journal of Achievements of Materials and Manufacturing Engineering.
  19. 20.Jovanović, B., & Delibašić, B. (2014). Application of integrated QFD and fuzzy AHP approach in selection of suppliers, Management Journal of Sustainable Business and Management Solutions in Emerging Economies, 19(2014/72), 25–35. https://doi.org/10.7595‌/management.fon.2014.0018.
  20. 21.Karsak, E.E., & Dursun, M. (2014). An integrated supplier selection methodology incorporating QFD and DEA with imprecise data, Expert Systems with Applications, 41, 6995– 7004. https://doi.org/10.1016/j.eswa.2014.06.020.
  21. 22.Keshavarz Ghorabaee, M., Zavadskas, E.K., Olfat, L., & Turskis, Z. (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS), Informatica, 26(3), 435-451. https://doi.org/10.15388/‌Informatica.2015.57.
  22. 23.Kilincci, O., & Onal, S.A. (2011). Fuzzy AHP approach for supplier selection in a washing machine company, Expert Systems with Applications, 38, 9656–9664. https://doi.org/10.1016/‌j.eswa.2011.01.159.
  23. 24.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. https://doi.org/10.22105/riej.2020.213445.1110.
  24. 25.Lee, E.-K., Ha, S., & Kim, S.-K. (2001). Supplier selection and management system considering relationships in supply chain management, IEEE Trans. Engineering Management. 48, 307–318. https://doi.org/10.1109/17.946529.
  25. 26.Lee, Y.-T., Wu, W.-W., & Tzeng, G.-H. (2008). An effective decision-making method using a combined QFD and ANP approach, WSEAS Trans. Business Economics, 12, 541–551.
  26. 27.Menon, R., & Ravi, V. (2022). Using AHP-TOPSIS methodologies in the selection of sustainable suppliers in an electronics supply chain. Cleaner Materials, 5, 100130. https://doi.org/10.1016/‌j.clema.2022.100130.
  27. 28.Nabeeh, N. A., Smarandache, F., Abdel-Basset, M., El-Ghareeb, H. A., & Aboelfetouh, A. (2019). An integrated neutrosophic-TOPSIS approach and its application to personnel selection: A new trend in brain processing and analysis. IEEE Access,7, 29734-29744. https://doi.org/10.1109/ACCESS.2019.2899841.
  28. 29.Önüt, S., Soner Kara, S., & Isik, E. (2009). Long term supplier selection using a combined fuzzy MCDM approach: A case study for a telecommunication company, Expert Systems with Applications, 36, 3887–3895. https://doi.org/10.1016/‌j.eswa.2008.02.045.
  29. 30.Oroojeni Mohammad Javada, M., Darvishi, M., & Oroojeni Mohammad Javad, A. (2020). Green supplier selection for the steel industry using BWM and fuzzy TOPSIS: A case study of Khouzestan steel company. Sustainable Futures, 2, 100012. https://doi.org/‌10.1016/j.sftr.2020.100012.
  30. 31.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.
  31. 32.Saaty, T.L. (1988). What is the analytic hierarchy process? in: Mathematical Models for Decision Supported. Springer,109–121.
  32. 33.Smarandache, F. (2013). A unifying field in Logics: Neutrosophic Logic. Neutrosophy, Neutrosophic set, Neutrosophic Probability and statistics, American research press, Rehoboth, Fourth Edition.
  33. 34.Tavana, M., Shaabani, A., Di caprio, D., & Amiri, M. (2021). An integrated and comprehensive fuzzy multicriteria model for supplier selection in digital supply chains, Sustainable Operations and Computers,2, Pages 149-169. https://doi.org/10.1016/‌j.susoc.2021.07.008.
  34. 35.Wang, Z., Cai, Q., & Wei, G. (2023). Modified TODIM method based on cumulative prospect theory with Type-2 neutrosophic number for green supplier selection. Engineering Applications of Artificial Intelligence, 126, Part B, 106843. https://doi.org/10.1016/‌j.engappai.2023.106843.
  35. 36.Yazdani, M., Ebadi Torkayesh, A., Stević, Ž., Chatterjee, P., Asgharieh Ahari, S., Hernandez, V.D. (2021). An interval valued neutrosophic decision-making structure for sustainable supplier selection. Expert Systems with Applications, 183, 115354. https://doi.org/10.1016/‌j.eswa.2021.115354.
  36. 37.Zadeh, L.A. (1965). Fuzzy sets, Information and Control, 8,3,338-353. http://dx.doi.org/10.1016/S0019-9958(65)90241-X.
  37. 38.Zouggari, A., & Benyoucef, L. (2012). Simulation based fuzzy TOPSIS approach for group multi-criteria supplier selection problem, Engineering Applications of Artificial Intelligence, 25, 507–519. https://doi.org/10.1016/j.engappai.2011.10.012.
  38. 1.Eslami, E. (2018). Fuzzy sets theory and its extensions. Fuzzy systems and applications, 1(1), 1-22 [In Persian].
Industrial Management Studies
Volume 22, Issue 73
September 2024
Pages 58-98
Files
Share
How to cite
Statistics