The woodworking manufacturing industry is a vital sector that contributes to global economic growth. However, the industry suffers from inefficiency, waste, and poor quality control. The major problems associated with inefficiency in production processes, material wastage, and inconsistent product quality are critical to profitability and sustainability. Therefore, this study optimizes efficiency and quality control in woodworking manufacturing through an industrial engineering approach. The research used lean manufacturing principles, Six Sigma methodologies, and advanced process automation to increase productivity and minimize defects. Data were collected from a mid-sized woodworking facility using process mapping, time-motion studies, and statistical quality control tools to identify bottlenecks and areas of improvement. The findings indicate that implementing lean strategies such as value stream mapping and Just-in-Time (JIT) production reduced lead times by 20%. Six Sigma-driven quality control measures lowered defect rates by 15%. Additionally, the integration of automation technologies, including CNC machining and AI-driven inspection systems, enhanced precision and consistency in production. Future research should focus on integrating Industry 4.0 technologies, such as IoT-enabled smart sensors and predictive maintenance, to improve efficiency and sustainability. Moreover, expanding the scope to different scales of woodworking enterprises could provide broader insights into best practices. This study underscores the potential of industrial engineering methodologies in revolutionizing woodworking manufacturing, paving the way for a more sustainable and competitive industry.