Selection of green supplier by multi-moora combination method and two-stage clustering

Document Type : Original Article

Authors

1 Master of Industrial Engineering, Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran, Email: maadibi@aut.ac.ir

2 Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran, Email: mahsaniavand@yahoo.com

3 Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran, Email: apourghader@qiau.ac.ir

Abstract

Today, environmental management for companies with an emphasis on environmental protection has become one of the most important issues and global pressures require organizations to produce environmentally friendly products and services. This challenge has led to the creation of a new concept called green supply chain management in the field of business, which combines environmental thinking and supply chain. Also, the problems of green supplier selection methods have become a very important issue. a Hybrid supplier selection method, in the present study, is utilized to select the green supplier by combining the Tow-Step data clustering method and the MADM method which in this research is the MULTI MOORA method. A real-world case study is also presented at Etka Chain Stores which uses a questionnaire that measures the greenness of suppliers in 13 general criteria according to business context and criteria. The advantages of the proposed hybrid method are then discussed here to demonstrate its superiority.

Keywords

Main Subjects

References

Ajalli, M. (2023). Evaluating and ranking suppliers in sustainable supply chain by WASPAS technique. Logistics Thought, 22(86), 179-207. doi: 10.22034/lot.2023.1272331.1262
Alencar, L., Almeida, A. (2011). Supplier selection based on the PROMETHEE VI multicriteria method, Applied in: Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 608–618. https://link.springer.com/chapter/10.1007/978-3-642-19893-9_42
Andami, F., & Momeni, M. (2022). A Model for Green Supplier Selection using Integrated MADM Techniques Approach. Journal of Accounting and Management Vision, 4(55), 1-22. https://www.jamv.ir/article_145371.html
Ayhan, M.B., Kilic, H.S. (2015). A two stage approach for supplier selection problem in multi-item multi-supplier environment with quantity discounts, Applied Comput. Ind. Eng 85, 1–12. https://doi.org/10.1016/j.cie.2015.02.026
Azadnia, A.H., Ghadimi, P., Zameri, M., Saman, M., Wong, K.Y., Sharif, S. (2011). Supplier Selection: A Hybrid Approach Using ELECTRE and Fuzzy Clustering, Applied in: Communications in Computer and Information Science. https://link.springer.com/chapter/10.1007/978-3-642-25453-6_56
Banaeian, N., Mobli, H., Fahimnia, B., Nielsen, I.E., Omid, M. (2016). Green Supplier SelectionUsing Fuzzy Group Decision Making Methods: A Case Study from the Agri-Food Industry, Applied Comput. Oper. Res. 1–11. https://doi.org/10.1016/j.cor.2016.02.015
Ceballos B., Lamata M.T. and Pelta D.A., (2016), A comparative analysis of multi-criteria decision-making. https://doi.org/10.3390/sym13091713
Chai, J., Liu, J. N., Ngai, E. W.(2013). Application of decision-making techniques in supplier selection: A systematic review of literature, Applied Expert systems with applications 40(10), 3872-3885. https://doi.org/10.1016/j.eswa.2012.12.040
Chobar, A. P., Adibi, M. A., & Kazemi, A. (2022). Multi-objective hub-spoke network design of perishable tourism products using combination machine learning and meta-heuristic algorithms. Environment, Development and Sustainability, 1-28.
Farzamnia, E., Babolghani, M.B. (2014). Group Decision-Making Process for Supplier Selection Using Multimoora Technique Under Fuzzy Environment, Applied Kuwait Chapter Arab. J. Bus. Manag. Rev. 3. https://platform.almanhal.com/Files/Articles/75213
Foladi F, khakestari M. (2020), Introducing Integrated Model for Green Supplier Selection in Leagile Supply Chain. Journal of Operational Research in its Applications; 17 (3) :81-97 , http://dorl.net/dor/20.1001.1.22517286.2020.17.3.3.3
Heidarzade. A., Mahdavi. I., Mahdavi-amiri, N. (2016). Supplier selection using a clustering method based on a new distance for interval type-2 fuzzy sets: A case study, Applied Soft Comput. J 38, 213–231. https://doi.org/10.1016/j.asoc.2015.09.029
Hendiari, S., Mahmoudi, A., Liao, H. (2020). A multi-stage multi-criteria hierarchical decision-making approach for sustainable supplier selection, Applied Soft Computing 94, 106456. https://doi.org/10.1016/j.asoc.2020.106456
Ho, W., Xu, X., & Dey, P. K. (2010). Multi-criteria decision making approaches for supplier evaluation and selection: A literature review, Applied European Journal of operational research 202(1), 16-24. https://doi.org/10.1016/j.ejor.2009.05.009
Hsu, C.-W., Kuo, T.-C., Chen, S.-H., Hu, A.H. (2013). Using DEMATEL to developa carbon management model of supplier selection in green supply chain management, Applied J. Clean. Prod 56, 164–172. https://doi.org/10.1016/j.jclepro.2011.09.012
Jain V., Sangaiah A.K., Sakhuja S., Thoduka N., Aggarwal R., (2016), Supplier selection using fuzzy AHP andTOPSIS: a case study in the Indian automotive industry, Applied Neural Comput. Appl. https://link.springer.com/article/10.1007/s00521-016-2533-z
Kannan, D., Govindan, K., Rajendran, S. (2015). Fuzzy axiomatic design approach based green supplier selection: A case study from Singapore, Applied J. Clean. Prod 96, 194–208. https://doi.org/10.1016/j.jclepro.2013.12.076
Karande, P., & Chakraborty, S. (2012). Decision making for supplier selection using the MOORA method. IUP Journal of Operations Management, 11(2), 6. https://www.proquest.com/openview/08692a23b1ad293b31bd46e2f78661a8/1?pq-origsite=gscholar&cbl=54466
Ghorabaee, M. K., Zavadskas, E. K., Amiri, M., & Esmaeili, A. (2016). Multi-criteria evaluation of green suppliers using an extended WASPAS method with interval type-2 fuzzy sets. Journal of Cleaner Production, 137, 213-229. https://doi.org/10.1016/j.jclepro.2016.07.031
Liou, J. J., Chang, M. H., Lo, H. W., & Hsu, M. H. (2021). Application of an MCDM model with data mining techniques for green supplier evaluation and selection. Applied Soft Computing, 109, 107534. https://doi.org/10.1016/j.asoc.2021.107534
Liu, P., Zhang, X. (2011). Research on the supplier selection of a supply chain based on entropy weight and improved ELECTRE-III method, Applied Int. J. Prod. Res 49, 637–646. https://doi.org/10.1080/00207540903490171
Maghsoodi, A. I., Kavian, A., Khalilzadeh, M., & Brauers, W. K. (2018). CLUS-MCDA: A novel framework based on cluster analysis and multiple criteria decision theory in a supplier selection problem. Computers & Industrial Engineering, 118, 409-422. https://doi.org/10.1016/j.cie.2018.03.011
Masnadjam, M., & Sadeghian, R. (2015). Utilization of Clustering and TOPSIS Method for Selecting Suppliers with Supply’s Limitation. Research in Production and Operations Management, 6(1), 171-186. https://jpom.ui.ac.ir/article_19834.html
Mavi, R. K., Zarbakhshnia, N., Mavi, N. K., & Kazemi, S. (2023). Clustering sustainable suppliers in the plastics industry: A fuzzy equivalence relation approach. Journal of Environmental Management, 345, 118811. https://doi.org/10.1016/j.jenvman.2023.118811
Mirghafoure, H., sadeghe, Z., & azizi, F. (2015). Developing a Model for Green Supplier Selection Based on Environmental Performance Approach Using MCDM (Application to Selected Tile Companies of Yazd Province). Environmental Researches, 5(10), 83-96. https://dorl.net/dor/20.1001.1.20089597.1393.5.10.9.4
Mishra. S., Sahu. A.K., Datta. S., Mahapatra. S.S. (2015). Application of fuzzy integrated MULTIMOORA method towards supplier/partner selection in agile supply chain, Applied Int. J. Oper. Res 22, 466–514. https://doi.org/10.1504/IJOR.2015.068562
Reyes, A., Escobar, J. W., & Londoño, J. C. (2023). Methodology for the supplier selection and valuation problem by using a combined grouping and multi-criteria approach. International Journal of Logistics Systems and Management, 46(2), 174-205. https://doi.org/10.1504/IJLSM.2023.134401
Roehrich, J.K., Hoejmose, S.U., Overland, V. (2017). Driving green supply chain management performance through supplier selection and value internalisation: A self-determination theory perspective, Applied Int. J. Oper. Prod. Manag 37, 489–509.          https://doi.org/10.1108/IJOPM-09-2015-0566
Safari, H., Sadat Fagheyi, M., Sadat Ahangari, S., Reza Fathi, M. (2012). Applying PROMETHEE Method based on Entropy Weight for Supplier Selection, Applied Bus. Manag. Strateg. 3. https://doi.org/10.5296/bms.v3i1.1656
SarAbadani, F., Bazoukar, R., & Rashidian, F. (2024). Development of a Green Supplier Selection Model with the Aim of Optimizing the Selection Criteria and Considering Incremental Discounts. Industrial Innovations: Requirements and Strategies, 2(1), 1-21. https://doi.org/10.61186/jii.2.1.1
Haeri, S. A. S., & Rezaei, J. (2019). A grey-based green supplier selection model for uncertain environments. Journal of cleaner production, 221, 768-784. https://doi.org/10.1016/j.jclepro.2019.02.193
Sheikh, R., Hajjar, A., & Azari takami, M. (2016). Evaluating stock liquidity with its quantitative and cryptic qualitative measures by means of MULTIMOORA fuzzy group decision making. Journal of Investment Knowledge, 5(17), 1-19. http://www.jik-ifea.ir/article_8414.html?lang=fa
Soltanifar M, Zargar S M, Homayounfar M. (2022), Green Supplier Selection: A Hybrid Group Voting Analytical Hierarchy Process Approach. Journal of Operational Research in its Applications; 19 (2) :113-132, http://dx.doi.org/10.52547/jamlu.19.2.113
Torabi Moghadam, Behnaz,. Legzian, Mohammad,. Nazimi, Shamsuddin,. and Kahani, Mohsen. (2011). Application of data mining in detecting the behavior pattern of car parts suppliers (case study: Mahd Khodro Tos Industrial Company). The 6th Iran Data Mining Conference, Tehran. https://profdoc.um.ac.ir/paper-abstract-1031768.html
Wan, S. ping., Xu, G. li., Dong, J. ying. (2017). Supplier selection using ANP and ELECTRE II in interval 2-tuple linguistic environment, Applied Inf. Sci. (Ny). –386, 19–38. https://doi.org/10.1016/j.ins.2016.12.032
Wetzstein, A., Hartmann, E., Benton, W.C., Hohenstein, N.-O., Benton, Jr W.C. (2016), A systematic Assessment of supplier selection literature –state-of-the-art and future scope, Applied Intern. J. Prod. Econ 182, 304–323. https://doi.org/10.1016/j.ijpe.2016.06.022
Wu, Y., Chen, K., Zeng, B., Xu, H., Yang, Y. (2016). Supplier selection in nuclear power industry with extended VIKOR method under linguistic information, Applied Soft Comput. J 48, 444–457. https://doi.org/10.1016/j.asoc.2016.07.023
Zhao, K., Yu, X. (2011). A case based reasoning approach on supplier selection in petroleum enterprises, Applied Expert Syst. Appl 38, 6839–6847. https://doi.org/10.1016/j.eswa.2010.12.055
Zolfani, S.H., Chen, I.-S., Rezaeiniya, N., Tamošaitienė, J. (2012). A hybrid MCDM model encompassing AHP and COPRAS-G methods for selecting company supplier in Iran, Applied Technol. Econ. Dev. Econ 18, 529–543. https://doi.org/10.3846/20294913.2012.709472
Send comment about this article
CAPTCHA Image

Files

Share

How to cite

Statistics