Multi Criteria Decision Making Approaches for Carbon Sensitive Inventory Policies in Sustainable Environment

Citation

Nagarajan, Sugendran and Bhuvaneswari, Thangavel and Suppiah, Yasothei and Shyaman, V. P. (2026) Multi Criteria Decision Making Approaches for Carbon Sensitive Inventory Policies in Sustainable Environment. Circular Economy and Sustainability, 6 (1). ISSN 2730-597X

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Abstract

The release of carbon, a key cause of climate change, is now most important in shaping sustainable supply chains and stock handling. Old ways to manage stock mostly forget about the harm to the air. They care most about cost, need, and service. This makes a gap in study on how to think about carbon outputs when making choices about stock. Often, one must look at many things that do not match up at the same time. To tackle this, the current work uses six Multi-Criteria Decision-Making (MCDM) ways: MOORA, CoPRAS, CoCoSo, TOPSIS, VIKOR, and ELECTRE to look at lasting stock plans. These ways are picked for their mixed power in dealing with trade-offs between money, green, and task needs. A clear choice board is made with ten points, like straight and round air hurts, price, how well it saves power, wait time, and how it affects storage, plus more. The results show that green and hybrid stock plans are often top picks, showing they are best at mixing low cost and less carbon. By looking at results from many MCDM methods, the study helps make choices surer and gives good tips for bosses and policy makers. This work helps close the gap between making stock better and meeting green goals, giving a clear way to manage stock with care for carbon.

Item Type: Article
Uncontrolled Keywords: Carbon emissions
Subjects: T Technology > TD Environmental technology. Sanitary engineering > TD194-195 Environmental effects of industries and plants
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 02 Apr 2026 07:20
Last Modified: 02 Apr 2026 07:20
URII: http://shdl.mmu.edu.my/id/eprint/15669

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