This research presents a data-driven optimization framework for Fused Filament Fabrication (FFF), integrating energy efficiency, production cost, CO₂ emissions, dimensional accuracy, and quality performance into a single decision-support model. The optimized process achieved 38.5% lower energy consumption, 27.9% lower manufacturing cost, and 38.4% lower CO₂ emissions while maintaining superior quality and measurement capability, supporting the future of sustainable and intelligent manufacturing.
πΉ 38.5% Energy Reduction ⚡
πΉ 27.9% Cost Savings π°
πΉ 38.4% Lower CO₂ Emissions π
πΉ High Quality & Dimensional Accuracy π―
πΉ Smart Data-Driven Manufacturing π
This research demonstrates how optimized 3D printing parameters can achieve significant sustainability improvements without compromising performance, paving the way for Industry 4.0 π, Smart Manufacturing π€, and Green Engineering πΏ.
π Published in: Computers & Industrial Engineering
π DOI: https://doi.org/10.1016/j.cie.2026.112001
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