This study explores the application of Lean Six Sigma (LSS) methodology, specifically the Define, Measure, Analyze, Improve, Control (DMAIC) framework, in improving process yield and energy efficiency in the glass manufacturing industry. Key challenges, including defects in glass bending operations, energy inefficiencies, and process optimization, are addressed. The study employs a combination of LSS tools such as Failure Mode and Effects Analysis (FMEA), Design of Experiments (DOE), and Kaizen to identify and resolve issues affecting production quality and sustainability systematically. Results indicate significant improvements in process yield, quality, and energy consumption, with reductions in defects like curvature deviations and blast head breakages. Energy efficiency was notably enhanced, leading to lower specific energy consumption and reduced production costs. The findings suggest that the integration of LSS can provide sustainable long-term improvements in manufacturing processes, offering both economic and environmental benefits. This research contributes to the growing body of knowledge on the application of LSS in process-driven industries, providing a practical framework for achieving operational excellence and sustainability in manufacturing settings.