Industrial Engineering and Operations Research: Optimization and Planning

Maximizing efficiency and minimizing operational costs are the core challenges of modern industrial systems. This text-based course guides you through the mathematical models and analytical frameworks used to optimize complex engineering processes. By the end of this course, you will confidently apply operations research techniques, such as queuing models, inventory control systems, and project scheduling, to solve real-world industrial challenges and succeed in technical evaluations. What you'll learn: - Understand foundational inventory control models, including economic order quantity and safety stock formulations. - Analyze queuing systems using mathematical models to minimize waiting times and optimize service capacity. - Apply network analysis techniques like PERT and CPM to schedule, monitor, and control complex projects. - Formulate linear programming problems and understand optimization methods for resource allocation. - Implement modern data-driven forecasting techniques to predict demand and plan production capacity. - Practice solving analytical problems modeled after standard engineering and professional examinations. The course begins with fundamental terminology and core concepts of operations research before moving into step-by-step mathematical formulations. You will progress through structured written explanations, clear derivations, and practical practice problems designed to build your analytical confidence. This course is designed for engineering students, exam aspirants, and professionals seeking a solid grounding in operations research; no advanced prior background in industrial engineering is required. Start reading today to master the mathematical tools that drive industrial efficiency.