Prioritization of Green Supplier Selection Attributes Using Fuzzy Extent Analysis: A Case Study of Iranian Cosmetics Industry

Document Type : Case Study


Research Institute of Petroleum Industry (RIPI), Tehran, Iran


The environmental considerations have gained increasing attention both from industry practices and academic research over the past three decades. Selection and cooperation with appropriate suppliers have become strategically important in the cosmetics' industry, too. There are various publications concerning green supplier selection and evaluation in general. However, a review on the supplier selection literature focusing on cosmetics industry shows a poor attention to "Green" criteria. Hence, the novelty of the paper is concentrating on this question: what are the most important criteria for "Green" evaluation and selection of the suppliers in the "Cosmetics" industry. Due to the inherent uncertainty in subjective opinions of the industry experts, the Fuzzy Extent Analysis and Delphi methods were applied. Finally, this study aims at identifying and prioritizing the supplier selection measurement indicators with environmental concerns under uncertain conditions in the Iranian Cosmetics Industry. The preferences of experts over the attributes were gathered using a pairwise comparison-based questionnaire. The hierarchical clustered representation of the four main attributes; Quality, Risk, on time delivery, environment; and their importance weights were achieved as the result of the study.


Main Subjects


©2022 The author(s). This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, as long as the original authors and source are cited. No permission is required from the authors or the publishers.

Abbasi, M., Hosnavi, R., & Tabrizi, B. (2013). An integrated structure for supplier selection and configuration of knowledge-based networks using QFD, ANP, and mixed-integer programming model. Journal of Industrial Engineering. doi:10.1155/2013/407573
Aghajanian, A., & SeyedAliAkbar, S. (2015). An explanatory factor analysis on procurement risk and its multi-dimensional consequences. Uncertain Supply Chain Management, 3(1), 51-56. doi:10.5267/j.uscm.2014.9.001
Amin, S., & Razmi, J. (2009). An integrated fuzzy model for supplier management: A case study of ISP selection and evaluation. Expert systems with applications, 36(4), 8639-8648. doi:10.1016/j.eswa.2008.10.012
Atthirawong, W. (2020). Application of TOPSIS method to green supplier selection for a Thai OTOP producer. Current Applied Science and Technology, 20(1), 144-155. Retrieved from
Bottani, E., & Rizzi, A. (2006). A fuzzy TOPSIS methodology to support outsourcing of logistics services. Supply Chain Management: An International Journal, 11(4), 294-308. doi:10.1108/13598540610671743
Bozbura, F., & Beskese, A. (2007). Prioritization of organizational capital measurement indicators using fuzzy AHP. International journal of approximate reasoning, 44(2), 124-147. doi:10.1016/j.ijar.2006.07.005
Bruno, G., Esposito, E., Genovese, A., & Passaro, R. (2012). AHP-based approaches for supplier evaluation: Problems and perspectives. Journal of purchasing and supply management, 18(3), 159-172. doi:10.1016/j.pursup.2012.05.001
Celebi, D., & Bayraktar, D. (2008). An integrated neural network and data envelopment analysis for supplier evaluation under incomplete information. Expert Systems with Applications, 35(4), 1698-1710. doi:10.1016/j.eswa.2007.08.107
Chang, S., Wang, R., & Wang, S. (2007). Applying a direct multi-granularity linguistic and strategy-oriented aggregation approach on the assessment of supply performance. European Journal of Operational Research, 177(2), 1013-1025. doi:10.1016/j.ejor.2006.01.032
Chaudhry, S., Forst, F., & Zydiak, J. (1993). Vendor selection with price breaks. European Journal of Operational Research, 70(1), 52-66. doi:10.1016/0377-2217(93)90232-C
Cheng, C., & Lin, Y. (2002). Evaluating the Best Main Battle Tank Using Fuzzy Decision Theory with Linguistic Criteria Evaluation. European journal of operational research, 142(1), 174-186. doi:10.1016/S0377-2217(01)00280-6
Choi, T., & Hartley, J. (1996). An exploration of supplier selection practices across the supply chain. Journal of operations management, 14(4), 333-343. doi:10.1016/S0272-6963(96)00091-5
Cusumano, M., & Takeishi, A. (1991). Supplier relations and management: a survey of Japanese, Japanese‐transplant, and US auto plants. Strategic management journal, 12(8), 563-588. doi:10.1002/smj.4250120802
Dabbaghi, A., & Dehghan, M. (2019). Determining the Most Important Components of the Petroleum Corporate Mission Statement Using Grey Systems Theory. Petroleum Business Review, 3(2), 43-54. doi:20.1001.1.26454726.2019.
Dickson, G. (1966). An analysis of vendor selection systems and decisions. Journal of purchasing, 2(1), 5-17. doi:10.1111/j.1745-493X.1966.tb00818.x
Ellram, L. (1990). The supplier selection decision in strategic partnerships. Journal of Purchasing and materials Management, 26(4), 8-12. doi:10.1111/j.1745-493X.1990.tb00515.x
Erdem, A., & Göçen, E. (2012). Development of a decision support system for supplier evaluation and order allocation. Expert Systems with Applications, 39(5), 4927-4937. doi:10.1016/j.eswa.2011.10.024
Ghodsypour, S., & O'Brien, C. (1998). A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming. International journal of production economics, 56, 199-212. doi:10.1016/S0925-5273(97)00009-1
Gholamreza Tehrani, A., Asadollah, H., Mohebbi, S., & Azizi, S. (2020). Designing the Model of Factors Affecting the Customer Based Brand Equity on Brand Performance in the Cosmetics Market. Journal of System Management, 6(1), 53-64. doi:10.30495/JSM.2020.673645
Hajhosseini, M., Hosseini Shabanan, S., Sadat Naji, E., & Naghsh, Z. (2020). Proactive Teaching: Development and Validation of a Scale to Evaluate Constructivist Teaching in Higher Education. Interdisciplinary Journal of Virtual Learning in Medical Sciences, 11(1), 1-12. doi:10.30476/IJVLMS.2020.84709.1014
Jayaraman, V., Srivastava, R., & Benton, W. (1999). Supplier selection and order quantity allocation: a comprehensive model. Journal of Supply Chain Management, 35(1), 50-58. doi:10.1111/j.1745-493X.1999.tb00237.x
Kahraman, C., Cebeci, U., & Ulukan, Z. (2003). Multi‐criteria supplier selection using fuzzy AHP. Logistics information management, 16(6), 382-394. doi:10.1108/09576050310503367
Karami, M., & Karami, S. (2021). COVID-19, a “Black Swan” Event for Cosmetic Market: Evidence from United Kingdom. International Journal of Management, Accounting and Economics, 8(1), 42-51. doi:10.5281/zenodo.459274
Karsak, E., & Dursun, M. (2014). An integrated supplier selection methodology incorporating QFD and DEA with imprecise data. Expert Systems with Applications, 41(16), 6995-7004. doi:10.1016/j.eswa.2014.06.020
Kim, S. (2019). Chinese Importer's Supplier Selection Factors-Focusing on the Korean Cosmetics Industry. Master's dissetation, Graduate School of International Studies, Seoul national University. Retrieved from https:/
Lee, E., Ha, S., & Kim, S. (2001). Supplier selection and management system considering relationships in supply chain management. IEEE transactions on Engineering Management, 48(3), 307-318. doi:10.1109/17.946529
Muralidharan, C., Anantharaman, N., & Deshmukh, S. (2001). Vendor rating in purchasing scenario: a confidence interval approach. International. Journal of Operations & Production Management, 21(10), 1305-1325. doi:10.1108/01443570110404736
Muralidharan, C., Anantharaman, N., & Deshmukh, S. (2002). A multi‐criteria group decision making model for supplier rating. Journal of supply chain management, 38(4), 22-33. doi:10.1108/01443570110404736
Sadeghieh, A., Dehghanbaghi, M., Dabbaghi, A., & Barak, S. (2012). A Genetic Algorithm Based Grey Goal Programming (G3) Approach for Parts Supplier Evaluation and Selection. International Journal of Production Research, 50(16), 4612-4630. doi:10.1080/00207543.2011.616233
Shariari, M., & Pilevari, N. (2016). Agile Supplier Selection in Sanitation Supply Chain Using Fuzzy VIKOR Method. Journal of Optimization in Industrial Engineering, 10(21), 19-28. doi:10.22094/JOIE.2016.257
Shen, L., Olfat, L., Govindan, K., Khodaverdi, R., & Diabat, A. (2013). A fuzzy multi criteria approach for evaluating green supplier’s performance in green supply chain with linguistic preferences. Conservation and Recycling, 74, 170-179. doi:10.1016/j.resconrec.2012.09.006
Swift, C. (1995). Preferences for single sourcing and supplier selection criteria. Journal of Business Research, 32(2), 105-111. doi:10.1016/0148-2963(94)00043-E
Tabatabaei, M., & Bazrkar, A. (2019). Providing a model for ranking suppliers in the sustainable supply chain using cross efficiency method in data envelopment analysis. Brazilian Journal of Operations & Production Management, 16(1), 43-52. doi:10.14488/
Tahriri, F., Mousavi, M., Hozhabri Haghighi, S., & Zawiah Md Dawal, S. (2014). The application of fuzzy Delphi and fuzzy inference system in supplier ranking and selection. Journal of Industrial Engineering International, 10(3), 1-16. doi:10.1016/j.apm.2011.12.006
Vahdani, B., Iranmanesh, S., Mousavi, S., & Abdollahzade, M. (2012). A locally linear neuro-fuzzy model for supplier selection in cosmetics industry. Applied Mathematical Modelling, 36(10), 4714-4727. doi:10.1016/j.apm.2011.12.006
Walton, S., Handfield, R., & Melnyk, S. (1998). The green supply chain: integrating suppliers into environmental management processes. International journal of purchasing and materials management, 34(1), 2-11. doi:10.1111/j.1745-493X.1998.tb00042.x
Wang, W. (2010). A fuzzy linguistic computing approach to supplier evaluation. Applied Mathematical Modelling, 34(10), 3130-3141. doi:10.1016/j.apm.2010.02.002
Weber, C., Current, J., & Benton, W. (1991). Vendor selection criteria and methods. European journal of operational research, 50(1), 2-18. doi:10.1016/0377-2217(91)90033-R
Yücel, A., & Güneri, A. (2011). "A weighted additive fuzzy programming approach for multi-criteria supplier selection. Expert Systems with applications, 38(5), 6281-6286. doi:10.1016/j.eswa.2010.11.086