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A Carbon Reduction-Oriented Synergistic Optimization Model for Manufacturing SAP Systems and Production Planning: Architectural Innovation, Algorithmic Advancement, and Global Industrial Validation

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  • Qiang Fu

    (Accenture (China) Co., Ltd, Shanghai 201201, China)

Abstract

Manufacturing’s 35% share of global carbon emissions and the “dual carbon” goals (China: peak by 2030, neutrality by 2060) demand urgent integration of carbon reduction into production operations. However, two critical bottlenecks persist: carbon footprint accounting inaccuracy (average accuracy 0.05); (5) Average production cost increase limited to 2.3% (vs. 8.5% for single-objective carbon reduction methods). The model has been adopted by the Ministry of Ecology and Environment of China as a “Dual Carbon Digital Transformation Recommended Solution” and the International Iron and Steel Institute (IISI) as a global reference. It has been promoted in 68 enterprises, generating cumulative carbon reductions of 186,000 tons and cost savings of $124 million. Future integration of generative AI (e.g., GPT-4-based demand identification) is expected to further reduce maintenance costs by 25% and improve self-adaptation to industrial changes.

Suggested Citation

  • Qiang Fu, 2025. "A Carbon Reduction-Oriented Synergistic Optimization Model for Manufacturing SAP Systems and Production Planning: Architectural Innovation, Algorithmic Advancement, and Global Industrial Validation," Innovation in Science and Technology, Paradigm Academic Press, vol. 4(8), pages 29-37, September.
    • Handle: RePEc:bdz:inscte:v:4:y:2025:i:8:p:29-37
    DOI: 10.63593/IST.2788-7030.2025.09.005
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