<![CDATA[Achieving net-zero emissions in manufacturing requires operational-level methods that are capable of capturing energy use and carbon intensity with high resolution. Traditional carbon accounting and Life Cycle Assessment (LCA) approaches often lack the temporal granularity required to guide shop-floor decisions. This study introduces a framework that integrates real-time energy monitoring, process modeling, and dynamic LCA to support decarbonization strategies in production environments. The framework was applied to three case studies: CNC machining, injection molding, and additive manufacturing. Results showed that non-productive energy accounted for 18–35% of total consumption, but targeted optimization reduced energy use by 12–23% and emissions by 10–23%. Dynamic LCA improved accuracy, lowering uncertainty by 14–16% compared to static methods. These findings demonstrate that shop-floor-focused carbon accounting can directly contribute to net-zero targets by linking real-time data with sustainability outcomes. The framework not only provides immediate efficiency gains, but also advances Industry 4.0 by embedding carbon intelligence into digital manufacturing systems. Future research should extend validation to energy-intensive sectors and explore integration with digital twins for comprehensive decision support]]>
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