Presentation of A New Approach for Selecting the Best Supplier Using Failure Mode and Effects Analysis and Fuzzy Analytic Hierarchy Process: A Case Study of A Pharmaceutical Company

Authors

  • Ehsan Fallahi Arzoudar * Department of Industrial Engineering, East Guilan Technical and Engineering Faculty, University of Guilan, Rudsar, Guilan, Iran. https://orcid.org/0000-0002-5380-7444
  • Mojdeh Ahmadi-Pour Roudposht Department of Industrial Engineering, Lahijan Branch, Islamic Azad University, Lahijan, Iran.
  • Amirmohammad Foroud Department of Industrial Engineering, School of Management, Economics, and Progress Engineering, Iran University of Science and Technology, Tehran, Iran.

https://doi.org/10.48313/scodm.v3i4.70

Abstract

Supplier selection has long been one of the most challenging issues in Supply Chain optimization. This issue makes a company's success largely dependent on selecting an appropriate supplier. Supplier selection is a highly complex, multi-person, group decision-making process that can improve priority evaluation through systematic, logical approaches. This process is usually carried out based on group inputs from individuals working in different functional areas within the organization. This study demonstrates how the Fuzzy Analytic Hierarchy Process (F-AHP) can be effectively integrated with the Failure Mode and Effects Analysis (FMEA) approach and applied to select the best supplier in a Supply Chain risk environment. The F-AHP approach determines the relative weight of each criterion, while the FMEA technique calculates the Risk Priority Number (RPN) for each criterion and its corresponding subcriteria in the supplier selection problem. Sobhan Pharmaceutical Company was selected as a case study to implement the proposed approach, and the results indicate improved performance across various criteria.

Keywords:

Supplier selection, Fuzzy analytic hierarchy process, Failure mode and effects analysis

References

  1. [1] Beheshti, S. A., Azimi, F., Mahmoudi, D., & Montazeran, S. (2023). Supply Chain management: Selecting and prioritizing suppliers with the AHP method. National Conference on Interdisciplinary Research in Management and Humanities. Tehran, Iran. Civilica. (In Persian). https://www.sid.ir/paper/1113337/fa
  2. [2] Nilforoushan, N., & Tahaniyan, A. R. (2017). Choose suppliers in the supply chain green (sustainable) required to purchase color surface marking case study: Department of transport and engineering company Nik Andish. Decision Making and Operations Research, 1(2), 112-131(In Persian). https://doi.org/10.22105/dmor.2017.44886
  3. [3] Amani, H., Nourang, A., & & Jahanshahi, H. (2013). Development of the supplier selection model by applying fuzzy MCDM technique with regarding to criteria interdependence. Supply Chain Management, 15(41), 60-69. (In Persian). https://scmj.ihu.ac.ir/article_203516.html?lang=en
  4. [4] Khatami Firouzabadi, S. M. A., Olfat, L., & & Dolabi, S. (2015). Supplier selection in sustainable Supply Chain using fuzzy MCDM techniques (A case study: Auto parts industry), 1(3), 7-38. (In Persian). http://noo.rs/GEQNX
  5. [5] Ariafar, S., Agoush, L., Kalavani, K., & Rahimisadegh, R. (2020). Selection of electroshock device supplier using TOPSIS, VIKOR, and SAW MCDM methods in Afzalipour hospital, Kerman. Hakim Research Journal, 23(3). (In Persian). http://hakim.tums.ac.ir/article-1-2033-fa.html
  6. [6] Shadkam, E. (2023). The new FAPSIS hybrid method to solve multi-objective optimization problems: Supplier selection problem. 19(4), 63–84. (In Persian). https://sid.ir/paper/1142780/en
  7. [7] Arabzadeh, S. A. M., Razmi, J., Tavakkoli Moghaddam, R., & Ghorbani, M. (2012). Proposing a new approach for supplier selection based on Kraljic’s model using FMEA and integer linear programming. 3(1), 17–38. (In Persian). https://sid.ir/paper/217533/en
  8. [8] Homayounfar, M., Goudarzvand Chegini, M., & Daneshvar, A. (2018). Prioritization of green Supply Chain suppliers using a hybrid fuzzy multi-criteria decision making approach. Journal of Operational Research and Its Applications, 15(2), 41–61. (In Persian). http://jamlu.lahijan.iau.ir/article-1-1544-fa.html
  9. [9] Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338–353. https://doi.org/10.1016/S0019-9958(65)90241-X
  10. [10] Cheng, C. H. (1997). Evaluating naval tactical missile systems by fuzzy AHP based on the grade value of membership function. European Journal of Operational Research, 96(2), 343–350. https://doi.org/10.1016/S0377-2217(96)00026-4
  11. [11] Kahraman, C., & Kaya, I. (2010). A fuzzy multicriteria methodology for selection among energy alternatives. Expert Systems with Applications, 37(9), 6270–6281. https://doi.org/10.1016/j.eswa.2010.02.095
  12. [12] Bowles, J. B., & Peláez, C. E. (1995). Fuzzy logic prioritization of failures in a system failure mode, effects and criticality analysis. Reliability Engineering System Safety, 50(2), 203–213. https://doi.org/10.1016/0951-8320(95)00068-D
  13. [13] Ravi Sankar, N., & Prabhu, B. S. (2001). Modified approach for prioritization of failures in a system failure mode and effects analysis. International Journal of Quality Reliability Management, 18(3), 324–336. https://doi.org/10.1108/02656710110383737
  14. [14] Pillay, A., & Wang, J. (2003). Modified failure mode and effects analysis using approximate reasoning. Reliability Engineering System Safety, 79(1), 69–85. https://doi.org/10.1016/S0951-8320(02)00179-5
  15. [15] Seyed Hosseini, S. M., Safaei, N., & Asgharpour, M. J. (2006). Reprioritization of failures in a system failure mode and effects analysis by decision making trial and evaluation laboratory technique. Reliability Engineering System Safety, 91(8), 872–881. https://doi.org/10.1016/j.ress.2005.09.005
  16. [16] Canbakis, S. K., Karabas, M., Kilic, H. S., Koseoglu, S., & Unal, E. (2018). A risk assessment model for Supply Chains. Pressacademia Procedia, 7(1), 122–125. https://doi.org/10.17261/Pressacademia.2018.866
  17. [17] Junior, F. R. L., Osiro, L., & Carpinetti, L. C. R. (2014). A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection. Applied Soft Computing, 21, 194–209. https://doi.org/10.1016/j.asoc.2014.03.014
  18. [18] Chen, J. K. (2007). Utility priority number evaluation for FMEA. Journal of Failure Analysis and Prevention, 7(5), 321–328. https://doi.org/10.1007/s11668-007-9060-2
  19. [19] Wang, Y. M., Chin, K. S., Poon, G. K. K., & Yang, J. B. (2009). Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean. Expert Systems with Applications, 36(2), 1195–1207. https://doi.org/10.1016/j.eswa.2007.11.028
  20. [20] Sachdeva, A., Kumar, D., & Kumar, P. (2009). Multi-factor failure mode critically analysis using TOPSIS. Journal of Industrial Engineering International, 5(8), 1–9. https://www.sid.ir/EN/VEWSSID/J_pdf/117320090801.pdf
  21. [21] Sellappan, N., Palanikumar, K., & others. (2013). Modified prioritization methodology for risk priority number in failure mode and effects analysis. International Journal of Applied Science and Technology, 3(4), 27–36. https://ijast.thebrpi.org/journals/Vol_3_No_4_April_2013/3.pdf
  22. [22] Arabsheybani, A., Paydar, M. M., & Safaei, A. S. (2018). An integrated fuzzy MOORA method and FMEA technique for sustainable supplier selection considering quantity discounts and supplier’s risk. Journal of Cleaner Production, 190, 577–591. https://doi.org/10.1016/j.jclepro.2018.04.167
  23. [23] Mangla, S. K., Kumar, P., & Barua, M. K. (2016). An integrated methodology of FTA and fuzzy AHP for risk assessment in green Supply Chain. International Journal of Operational Research, 25(1), 77–99. https://doi.org/10.1504/IJOR.2016.073252
  24. [24] Yazdani, M., Chatterjee, P., Pamucar, D., & Abad, M. D. (2020). A risk-based integrated decision-making model for green supplier selection: A case study of a construction company in Spain. Kybernetes, 49(4), 1229–1252. https://doi.org/10.1108/K-09-2018-0509
  25. [25] Tavana, M., Shaabani, A., Mansouri Mohammadabadi, S., & Varzgani, N. (2021). An integrated fuzzy AHP-fuzzy MULTIMOORA model for Supply Chain risk-benefit assessment and supplier selection. International Journal of Systems Science: Operations Logistics, 8(3), 238–261. https://doi.org/10.1080/23302674.2020.1737754
  26. [26] Altubaishe, B., & Desai, S. (2023). Multicriteria decision making in Supply Chain management using FMEA and hybrid AHP-PROMETHEE algorithms. Sensors, 23(8), 4041. https://doi.org/10.3390/s23084041
  27. [27] Parmar, N. J., James, A. T., Khan, Z. A., & Asjad, M. (2023). Failure mode and effects analysis of hydraulic direct drive of belt conveyor system using a hybrid fuzzy AHP and fuzzy topsis method. Available at SSRN 4519785, 1–27. https://dx.doi.org/10.2139/ssrn.4519785
  28. [28] Golrizgashti, S., Keshmiri, M., & Nazabadi, N. (2022). A comparative analysis of experts’ judgment methods for patient safety implementation-FMEA and fuzzy AHP. International Journal of Productivity and Quality Management, 37(3), 384–404. https://doi.org/10.1504/IJPQM.2022.126944
  29. [29] Ak, M. F., & Demir, E. (2024). A novel qualitative risk assessment using the interval-valued spherical fuzzy extension of TOPSIS method: A case study in rail transit systems. Neural Computing and Applications, 36(10), 5109–5132. https://doi.org/10.1007/s00521-023-09224-2
  30. [30] Duan, C., Zhang, Z., Zhao, L., & Yu, Y. (2024). Reliability and risk assessment of digital twin system based on improved failure mode and effects analysis. The International Journal of Advanced Manufacturing Technology, 133(7), 3937–3955. https://doi.org/10.1007/s00170-024-13896
  31. [31] Gul, M. (2018). A review of occupational health and safety risk assessment approaches based on MCDM methods and their fuzzy versions. Human and Ecological Risk Assessment: An International Journal, 24(7), 1723–1760. https://doi.org/10.1080/10807039.2018.1424531
  32. [32] Kirytopoulos, K., Leopoulos, V., & Voulgaridou, D. (2008). Supplier selection in pharmaceutical industry: an analytic network process approach. Benchmarking: An International Journal, 15(4), 494–516. https://doi.org/10.1108/14635770810887267
  33. [33] Ishizaka, A., Khan, S. A., Kheybari, S., & Zaman, S. I. (2023). Supplier selection in closed loop pharma Supply Chain: A novel BWMGAIA framework. Annals of Operations Research, 324(1), 13–36. https://doi.org/10.1007/s10479-022-0471
  34. [34] Butnariu, A., & Avasilcai, S. (2015). The assessment of the companies’ sustainable development performance. Procedia Economics and Finance, 23, 1233–1238. https://doi.org/10.1016/S2212-5671(15)00422-0

Published

2026-12-13

Issue

Vol. 3 No. 4 (2026): Supply Chain and Operations Decision Making

Section

Articles

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Copyright (c) 2026 Supply Chain and Operations Decision Making

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Fallahi Arzoudar, E. ., Ahmadi-Pour Roudposht, M. ., & Foroud, A. . (2026). Presentation of A New Approach for Selecting the Best Supplier Using Failure Mode and Effects Analysis and Fuzzy Analytic Hierarchy Process: A Case Study of A Pharmaceutical Company. Supply Chain and Operations Decision Making, 3(4), 303-318. https://doi.org/10.48313/scodm.v3i4.70

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