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Physics > Physics and Society

Title: Efficient Strategies on Supply Chain Network Optimization for Industrial Carbon Emission Reduction

Authors: Jihu Lei
Abstract: This study investigates the efficient strategies for supply chain network optimization, specifically aimed at reducing industrial carbon emissions. Amidst escalating concerns about global climate change, industry sectors are motivated to counteract the negative environmental implications of their supply chain networks. This paper introduces a novel framework for optimizing these networks via strategic approaches which lead to a definitive decrease in carbon emissions. We introduce Adaptive Carbon Emissions Indexing (ACEI), utilizing real-time carbon emissions data to drive instantaneous adjustments in supply chain operations. This adaptability predicates on evolving environmental regulations, fluctuating market trends and emerging technological advancements. The empirical validations demonstrate our strategy's effectiveness in various industrial sectors, indicating a significant reduction in carbon emissions and an increase in operational efficiency. This method also evidences resilience in the face of sudden disruptions and crises, reflecting its robustness.
Subjects: Physics and Society (physics.soc-ph); Computers and Society (cs.CY)
Journal reference: Journal of Computational Methods in Engineering Applications (2022): 1-11
Cite as: arXiv:2404.16863 [physics.soc-ph]
  (or arXiv:2404.16863v1 [physics.soc-ph] for this version)

Submission history

From: Jihu Lei [view email]
[v1] Wed, 17 Apr 2024 14:53:55 GMT (366kb)

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