Industrial Engineering and Operations Research: Practice and Exam Prep

Succeeding in competitive engineering exams requires a deep, intuitive understanding of optimization and systems analysis. This written course provides a clear, step-by-step breakdown of industrial engineering and operations research concepts, turning complex mathematical models into structured, solvable problems. You will transition from memorizing formulas to confidently formulating and solving optimization models. Through clear text explanations and comprehensive written practice problems, you will develop the analytical skills needed to tackle challenging exam questions and real-world industrial scenarios. What you'll learn: - Understand foundational concepts of linear programming, simplex methods, and duality. - Solve transportation, assignment, and sequencing problems using systematic step-by-step algorithms. - Apply queuing theory and inventory control models to optimize supply chain and operational workflows. - Analyze project management networks using PERT and CPM methodologies to identify critical paths. - Explore modern computational approaches to operations research, including basic optimization modeling concepts. - Practice high-yield exam-style questions designed to build speed and accuracy for competitive assessments. The course begins with core definitions and basic mathematical modeling before moving into advanced scheduling, queueing, and inventory systems. Each module guides you through the theory first, followed immediately by detailed, written step-by-step practice problems to solidify your learning. No prior advanced optimization experience is required. Start reading today to master the analytical tools of industrial engineering and elevate your exam preparation.