Conference Paper

Green Supplier Selection with CoCoFISo-G

Volume: 32 December 30, 2024
  • Halil Sen
  • Mustafa Serdar Toksoy
EN

Green Supplier Selection with CoCoFISo-G

Abstract

Green supplier selection is the process of evaluating suppliers for environmental sustainability and efficient use of resources. In recent years, there has been a growing trend to work with suppliers that meet environmental sustainability standards. Green sourcing considers criteria such as the source of a product's raw materials and its impact on the environment. In the cosmetics industry, green supplier selection is a critical step in increasing the environmental and social sustainability of products. This process ensures that green and ethical practices are considered at every stage of the supply chain. Supplier selection is a multi-criteria decision problem. This study aims to solve the supplier selection problem in the supply of perfume bottles for a cosmetics company using the CoCoFISo-G method. The CoCoFISo-G method was created by extending the CoCoFISo (Combined Compromise for Ideal Solution) method with gray numbers. The CoCoFISo method is an extension of the CoCoSo method, and the purpose of the CoCoFISo method is to find an ideal compromise solution to improve the algorithm of the CoCoSo method. In this study, the developed CoCoFISo-G method is used for green supplier selection.

Keywords

References

  1. Sen, H. & Toksoy, M.S. (2024). Green supplier selection with CoCoFISo-G. The Eurasia Proceedings of Science, Technology, Engineering & Mathematics (EPSTEM), 32, 257-265.

Details

Primary Language

English

Subjects

Statistics (Other)

Journal Section

Conference Paper

Authors

Halil Sen This is me
Türkiye

Mustafa Serdar Toksoy This is me
Türkiye

Early Pub Date

December 10, 2024

Publication Date

December 30, 2024

Submission Date

May 23, 2024

Acceptance Date

August 4, 2024

Published in Issue

Year 2024 Volume: 32

APA
Sen, H., & Toksoy, M. S. (2024). Green Supplier Selection with CoCoFISo-G. The Eurasia Proceedings of Science Technology Engineering and Mathematics, 32, 257-265. https://doi.org/10.55549/epstem.1598450