This course delves into the core principles and methodologies of industrial engineering, focusing on techniques that enhance productivity, streamline operations, and ensure quality control. Students begin with an introduction to industrial engineering, learning its role in modern industries and tracing its historical development. With a strong foundation in key concepts and terminology, they progress to practical techniques such as time and motion study, work measurement, process flow analysis, and value stream mapping, which are essential for optimizing operations.

A significant portion of the course is dedicated to quality management, covering methodologies like Total Quality Management (TQM), Six Sigma, and Statistical Process Control (SPC). Students explore lean manufacturing principles and how to apply them to reduce waste and improve efficiency. The course also includes optimization methods such as linear programming, integer programming, and simulation modeling, allowing students to approach complex problems with analytical tools. Decision analysis and game theory are taught to help in making informed choices in production and operations management.

Additionally, students gain valuable insights into production and operations management, learning forecasting techniques, capacity planning, inventory control, and supply chain management. The course also addresses ergonomics and workplace design, teaching students how to apply human factors principles to design efficient and safe workspaces. By the end of the course, students will have acquired the essential skills needed for optimizing industrial processes, making them highly sought after in the industry.