  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.
