Green Supplier  A Comprehensive Review of Recent Studies

Shankha Shubhra

Authors

Shankha Shubhra Department of Mechanical Engineering Author

Abstract

This study provides an extensive analysis of current research on the crucial topic of choosing environmentally friendly suppliers by using multi-criteria decision-making (MCDM) methods. The assessment andchoice of environmentally conscious suppliers have become essential in modern business operations due to the growing worries about the environment throughout the world and the necessity of sustainablesupply chain management. This study provides an in-depth analysisof a wide range of MCDM techniques used in green supplier selection, highlighting the advantages, disadvantages, and new directions of each approach. Through the synthesis and analysis of the results of multiple recent studies, this review advances our understanding of the changing environment surrounding green supplier selection and offers useful information to practitioners in the field as well as scholars. In the context of green supplier selection, it emphasizes the necessity of a nuanced and context-specific approach to MCDM, eventually developing environmentally conscious and sustainableprocurement methods that are in line with the changing demands of today's corporate environment.

Author Biography

Shankha Shubhra, Department of Mechanical Engineering

Department of Mechanical Engineering, Indira Gandhi Institute of Technology, Sarang, Odisha, India

References

Afrasiabi, A., Tavana, M., & Di Caprio, D. (2022).An extended hybrid fuzzy multi-criteria decision model for sustainable and resilient supplier selection.Environmental Science and Pollution Research,29(25), 37291-37314.https://doi.org/10.1007/s11356-021-17851-2.

Ecer, F. (2022). Multi-criteria decision making forgreen supplier selection using interval type-2 fuzzy AHP: a case study of a home appliance manufacturer.Operational Research,22(1), 199-233.https://doi.org/10.1007/s12351-020-00552-y.

Tronnebati, I., El Yadari, M., & Jawab, F. (2022).A Review of Green Supplier Evaluation and SelectionIssues Using MCDM, MP and AI Models.Sustainability,14(24), 16714.https://doi.org/10.3390/su142416714.

Alamroshan, F., La’li, M., & Yahyaei, M. (2022). The green-agile supplier selection problem for the medical devices:a hybrid fuzzy decision-making approach.Environmental Science and Pollution Research,29(5), 6793-6811.https://doi.org/10.1007/s11356-021-14690-z.

Deretarla, Ö., Erdebilli, B., & Gündoğan, M. (2023). An integrated Analytic Hierarchy Process and Complex Proportional Assessment for vendor selection in supply chain management.Decision Analytics Journal,6, 100155.https://doi.org/10.1016/j.dajour.2022.100155.

Mahmoudi, A., Sadeghi, M., & Deng, X. (2022). Performance measurement of construction suppliers under localization, agility, and digitalization criteria:Fuzzy Ordinal Priority Approach.Environment, Development and Sustainability.https://doi.org/10.1007/s10668-022-02301-x.

Agarwal, R., Nishad, A. K., Agrawal, A., & Husain,S. (2023). Evaluation and selection of a Green andsustainable supplier by using a Fuzzy Aras Mathematical Modeling.New Mathematics and Natural Computation.https://doi.org/10.1142/S1793005723500382.

Sahoo, S., & Choudhury, B. (2024). Exploring the use of computer vision in assistive technologies forindividuals

with disabilities: A review.Journal of Future Sustainability,4(3), 133-148.

https://doi.org/10.5267/j.jfs.2024.7.002.

Tripathi, D., Nigam, S. K., Mishra, A. R., & Shah,A. R. (2023). A novel intuitionistic fuzzy distancemeasure-SWARA-COPRAS method for multi-criteria food waste treatment technology selection.Operational Research in Engineering Sciences: Theory and Applications, 6(1).https://doi.org/10.31181/oresta111022106t.

Tong, L. Z., Wang, J., & Pu, Z. (2022). Sustainablesupplier selection for SMEs based on an extended PROMETHEE

approach.Journal of Cleaner Production,330, 129830.https://doi.org/10.1016/j.jclepro.2021.129830.Sahoo, S. K., & Choudhury, B. B. (2023). A Review of Methodologies hor Path Planning and Optimizationof Mobile

Robots.Journal of Process Management and New Technologies,11(1-2), 122-140.

https://doi.org/10.5937/jpmnt11-45039.

Hajiaghaei-Keshteli, M., Cenk, Z., Erdebilli, B., Özdemir, Y. S., & Gholian-Jouybari, F. (2023). Pythagorean fuzzy TOPSIS method for green supplier selection in the food industry.Expert Systems with Applications,224, 120036.https://doi.org/10.1016/j.eswa.2023.120036.

Sahoo, S. K., Das, A. K., Samanta, S., & Goswami, S. S. (2023). Assessing the Role of Sustainable Development in Mitigating the Issue of Global Warming.Journal of Process Management and New Technologies,11(1-2), 1-21.https://doi.org/10.5937/jpmnt11-44122.

Dabic-Miletic, S., & Simic, V. (2023). Smart and sustainable waste tire management: decision-making challenges and future directions.Decision Making Advances,1(1), 10-16.https://doi.org/10.31181/v120232.

Rao, C. N., & Sujatha, M. (2023). A consensus-basedFermatean fuzzy WASPAS methodology for selection of healthcare waste treatment technology selection.Decision Making: Applications in Management and Engineering,6(2), 600-619.https://doi.org/10.31181/dmame622023621.

Wang, C. N., Nguyen, T. L., & Dang, T. T. (2022). Two-Stage Fuzzy MCDM for Green Supplier Selection inSteel Industry.Intelligent Automation & Soft Computing,33(2).https://doi.org/10.32604/iasc.2022.024548.

Abid, M., & Saqlain, M. (2023). Decision-Making forthe Bakery Product Transportation using Linear

Programming.Spectrum of Engineering and Management Sciences,1(1), 1-12.

https://doi.org/10.31181/sems1120235a.

Jusufbašić, A. (2023). MCDM methods for selection of handling equipment in logistics: a brief review.Spectrum of Engineering and Management Sciences,1(1), 13-24.https://doi.org/10.31181/sems1120232j.

Keshavarz, E., Mahmoodirad, A., & Niroomand, S. (2023). A Transportation Problem Considering Fixed Charge and Fuzzy Shipping Costs.Decision Making Advances,1(1), 115-122.https://doi.org/10.31181/dma11202313.Gupta, S., Soni, U., & Kumar, G. (2019). Green supplier selection using multi-criterion decision making under fuzzy environment: A case study in automotive industry.Computers & Industrial Engineering,136, 663-680.https://doi.org/10.1016/j.cie.2019.07.038.

Chiou, C. Y., Hsu, C. W., & Hwang, W. Y. (2008). Comparative investigation on green supplier selectionof the American, Japanese and Taiwanese electronics industry in China. In2008 IEEE International Conference on