A data-driven green supplier evaluation and development system

Citation

Runtuk, Johan Krisnanto and Ng, Poh Kiat and Ooi, Shih Yin (2023) A data-driven green supplier evaluation and development system. In: 2nd FET PG Engineering Colloquium Proceedings 2023, 1-31 December 2023, Multimedia University, Malaysia. (Submitted)

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Abstract

Research on the selection of green suppliers continues to evolve in response to the demand for using eco-friendly materials and producing green products. However, literature reviews and observations across several manufacturing industries reveal difficulties and challenges in designing an evaluation and development system for green suppliers. This study aims to develop a data-driven model for the evaluation and development of green suppliers, considering all relevant sustainability criteria. Finally, the research will test the model in the context of a paper product and packaging company.

Item Type: Conference or Workshop Item (Poster)
Uncontrolled Keywords: Algorithm
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 02 Apr 2024 06:57
Last Modified: 02 Apr 2024 07:47
URII: http://shdl.mmu.edu.my/id/eprint/12308

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