SavedAdd your journal

Journals / Business and Economics Research Journal / 2019 / Cilt: 10 - Sayı: 1

A Multi-Criteria Evaluation for Sustainable Supplier Selection Based on Fuzzy Sets

AHMET ÇALIK
Pages
95–113
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The proposed approach is validated an actual case situation in Konya.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:It is well known that sustainability strategies have moved further and further up over the past decade due to help companies to improve the effectiveness of their marketplace and perform better in their operations.
📊
Key Findings & Data:Supplier’s performance directly affects a company’s performance not only environmental or economic issues but also sustainable issues.
💡
Conclusion & Impact:The proposed approach is validated an actual case situation in Konya.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Özet

It is well known that sustainability strategies have moved further and further up over the past decade due to help companies to improve the effectiveness of their marketplace and perform better in their operations. For companies, sustainability would gain long-term consequences such as getting greater profits and creating their own consumer path. The Triple Bottom Line (TBL) is a key element of the companies to achieve social, environmental, and economic benefits. Supplier’s performance directly affects a company’s performance not only environmental or economic issues but also sustainable issues. Thus, Sustainable Supplier Selection (SSS) has become the highly relevant topic and many authors and researchers have focused on this subject. This study investigates a hybrid multi-criteria decision making (MCDM) framework based on TBL to determine sustainable suppliers. After construction of hierarchy, the integrated fuzzy MCDM algorithm is implemented. At first, Fuzzy Analytical Hierarchy Process (FAHP) is used for obtaining the weights of the main criteria and related sub-criteria. Then, fuzzy TOPSIS method is applied for ranking the suppliers. Additionally, interval type-2 fuzzy sets (IT2FSs) that express uncertainty better than traditional type-1 fuzzy sets are used for selecting an appropriate supplier. The proposed approach is validated an actual case situation in Konya.

🔖

Cite This Article

ÇALIK, A. (2019). A Multi-Criteria Evaluation for Sustainable Supplier Selection Based on Fuzzy Sets. Business and Economics Research Journal, Cilt: 10 - Sayı: 1, 95–113. https://ajindex.com/articles/142128

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (14)

  1. Akman, G. (2015). Evaluating suppliers to include green supplier development programs via fuzzy c-means and VIKOR methods. Computers & Industrial Engineering, 86, 69-82.
  2. Amindoust, A. (2018). A resilient-sustainable based supplier selection model using a hybrid intelligent method. Computers & Industrial Engineering, 126, 122–135.
  3. Amindoust, A., Ahmed, S., Saghafinia, A., & Bahreininejad, A. (2012). Sustainable supplier selection: A ranking model based on fuzzy inference system. Applied Soft Computing, 12, 1668–1677.
  4. Aruldoss, M., Lakshmi, T. M., & Venkatesan, V. P. (2013). A survey on multi criteria decision making methods and its applications. American Journal of Information Systems, 1(1), 31-43.
  5. Awasthi, A., Chauhan, S. S., & Goyal, S. K. (2010). A fuzzy multi criteria approach for evaluating environmental performance of suppliers. International Journal of Production Economics, 126, 370-378.
  6. Awasthi, A., Govindan, K., & Gold, S. (2018). Multi-tier sustainable global supplier selection using a fuzzy AHP-VIKOR based approach. International Journal of Production Economics, 195, 106–117.
  7. Azadnia, A. H., Saman, M. Z. M., & Wong, K. Y. (2015). Sustainable supplier selection and order lot-sizing: An integrated multi-objective decision-making process. International Journal of Production Research, 53, 383-408.
  8. Bai, C., & Sarkis, J. (2010). Green supplier development: Analytical evaluation using rough set theory. Journal of Cleaner Production, 18(12), 1200–1210.
  9. Banaeian, N., Mobli, H., Fahimnia, B., Nielsen, I. E., & Omid, M. (2018). Green supplier selection using fuzzy group decision making methods: A case study from agri-food industry. Computers & Operations Research, 89, 337-347.
  10. Baykasoğlu, A., & Gölcük, İ. (2017). Development of an interval type-2 fuzzy sets based hierarchical MADM model by combining DEMATEL and TOPSIS. Expert Systems with Applications, 70, 37–51.
  11. Buckley, J. J. (1985). Fuzzy hierarchical analysis. Fuzzy Sets and Systems, 17(3), 233-247.
  12. Büyüközkan, G., & Çifçi, G. (2012). A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers. Expert Systems with Applications, 39, 3000–3011.
  13. Büyüközkan, G., Parlak, I. B., & Tolga, A. C. (2016). Evaluation of knowledge management tools by using an interval type2 fuzzy TOPSIS method. International Journal of Computational Intelligence Systems, 9(5), 812–826.
  14. Çalık, A., & Paksoy, T. (2017). Third-party reverse logistics (3PTL) company selection with interval