This course covers the core principles of industrial engineering, focusing on optimizing systems involving labor, capital, and technology to enhance productivity in manufacturing and service industries. Key topics include work study (time-motion analysis, job evaluation), productivity management, quality control (statistical methods, Six Sigma), and ergonomic workplace design. Students will learn facility planning, operations research techniques (linear programming, queuing theory), and industrial software applications for data-driven decision-making.

The curriculum also explores industrial business dynamics, production processes, and modern advancements like automation and digital tools. Practical emphasis is placed on cost efficiency, workflow optimization, and quality assurance – equipping graduates with skills to improve operational performance across diverse sectors.