This course introduces analytical methods for advanced decision-making to improve organizational efficiency and system performance. The curriculum covers mathematical modeling, optimization, and the application of scientific methods to complex operational problems. Students explore queuing theory, inventory control, and network flow analysis to optimize resource allocation. The course emphasizes the use of probabilistic models and simulation to manage uncertainty in logistics and manufacturing. By the end of the semester, students will be capable of using quantitative techniques to solve real-world scheduling, routing, and strategic planning challenges in industrial environments.