Foundations of Industrial Engineering and Operations Research

Industrial engineering is the backbone of efficient manufacturing, logistics, and service systems. To excel in technical exams and professional roles, you need a rock-solid grasp of optimization, scheduling, and resource management. This comprehensive text-based course guides you from foundational definitions to solving complex optimization problems. You will develop the analytical mindset required to streamline processes, minimize costs, and maximize throughput in any industrial setting. What you'll learn: - Understand foundational industrial engineering terminology, productivity metrics, and work study basics. - Apply quantitative forecasting methods and inventory control models to optimize stock levels. - Solve linear programming and operations research problems using systematic mathematical approaches. - Configure sequencing and scheduling algorithms for efficient production planning and control. - Analyze project networks using PERT and CPM techniques to identify critical paths and manage timelines. - Integrate modern lean principles and data-driven supply chain resilience concepts into traditional engineering workflows. The course starts with basic definitions and productivity concepts before advancing through step-by-step mathematical derivations, solved practice problems, and written self-assessment exercises. You will progress logically from simple resource allocation to complex network scheduling. Designed for engineering students, exam candidates, and professionals looking for a structured refresher, this course requires no prior advanced engineering background. Start reading today to sharpen your analytical skills and master the core of industrial engineering.