Research Article

Green Supplier Assessment with Fuzzy Expert System Approach

Volume: 13 Number: 1 March 26, 2024
TR EN

Green Supplier Assessment with Fuzzy Expert System Approach

Abstract

Today, reasons such as increasing pollution on a global extent and limited raw material resources are increasing the interest in green supply chain management (GSCM). GSCM includes the processes starting from the very beginning of the production process of a product, completing the production, delivering the product to the customer, and recycling the product at the end of its useful life. Its main purpose is to eliminate or minimize the damages caused to the environment in all of these processes. In order to achieve this goal, it has great importance to assess the suppliers, which are one of the most important components of the production process, in terms of becoming a green supplier. In this study, a fuzzy expert system model has been developed to assess the green suppliers based on green production technology, environmental management system, pollution control, product cost, quality, and lead time criteria. Mean Square Error (MSE) and coefficient of determination (R2) have been calculated to measure the performance of the developed model. These calculated values show that the green supplier assessment performance of the developed model is quite high.

Keywords

References

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Details

Primary Language

English

Subjects

Decision Support and Group Support Systems

Journal Section

Research Article

Early Pub Date

March 26, 2024

Publication Date

March 26, 2024

Submission Date

August 28, 2023

Acceptance Date

January 23, 2024

Published in Issue

Year 2024 Volume: 13 Number: 1

APA
Teke, Ç. (2024). Green Supplier Assessment with Fuzzy Expert System Approach. Turkish Journal of Nature and Science, 13(1), 40-46. https://doi.org/10.46810/tdfd.1350936
AMA
1.Teke Ç. Green Supplier Assessment with Fuzzy Expert System Approach. TJNS. 2024;13(1):40-46. doi:10.46810/tdfd.1350936
Chicago
Teke, Çağatay. 2024. “Green Supplier Assessment With Fuzzy Expert System Approach”. Turkish Journal of Nature and Science 13 (1): 40-46. https://doi.org/10.46810/tdfd.1350936.
EndNote
Teke Ç (March 1, 2024) Green Supplier Assessment with Fuzzy Expert System Approach. Turkish Journal of Nature and Science 13 1 40–46.
IEEE
[1]Ç. Teke, “Green Supplier Assessment with Fuzzy Expert System Approach”, TJNS, vol. 13, no. 1, pp. 40–46, Mar. 2024, doi: 10.46810/tdfd.1350936.
ISNAD
Teke, Çağatay. “Green Supplier Assessment With Fuzzy Expert System Approach”. Turkish Journal of Nature and Science 13/1 (March 1, 2024): 40-46. https://doi.org/10.46810/tdfd.1350936.
JAMA
1.Teke Ç. Green Supplier Assessment with Fuzzy Expert System Approach. TJNS. 2024;13:40–46.
MLA
Teke, Çağatay. “Green Supplier Assessment With Fuzzy Expert System Approach”. Turkish Journal of Nature and Science, vol. 13, no. 1, Mar. 2024, pp. 40-46, doi:10.46810/tdfd.1350936.
Vancouver
1.Çağatay Teke. Green Supplier Assessment with Fuzzy Expert System Approach. TJNS. 2024 Mar. 1;13(1):40-6. doi:10.46810/tdfd.1350936

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