Industrial Engineering and Operations Research for GATE Prep

Preparing for competitive technical examinations requires a rock-solid grasp of quantitative engineering concepts and fast, accurate problem-solving skills. This text-based course breaks down complex mathematical models and optimization algorithms into clear, readable explanations. You will transition from understanding basic industrial engineering formulas to confidently solving exam-style problems in inventory control, scheduling, and network analysis. What you'll learn: - Understand foundational terminology, queuing theory, and forecasting models used to predict demand. - Formulate and solve linear programming models, transportation problems, and assignment scenarios. - Analyze project networks using PERT and CPM techniques to optimize schedules and resources. - Apply inventory control models, including deterministic and probabilistic systems, to minimize costs. - Solve sequencing and scheduling problems to maximize operational efficiency. - Practice structured problem-solving methodologies designed for competitive engineering exams. The course begins with core terminology and mathematical foundations before guiding you through step-by-step written walkthroughs of optimization models, network scheduling, and queue analysis. It is designed for engineering students and aspirants preparing for the GATE and IES exams, requiring only a basic background in high-school mathematics. Start reading today to master the quantitative techniques of industrial engineering and boost your exam readiness.