This Operations Management Calculations Course focuses on the most important numerical techniques used in operations management, project management, and business decision-making. It is designed for students and learners who want to strengthen their problem-solving skills in real-world operational scenarios.

The course begins with project management calculations, including project crashing, which helps reduce project completion time by optimizing resources and costs. You will also learn network analysis methods, both deterministic and probabilistic time analysis, which are used to plan and control complex projects effectively.

Another key area covered is forecasting calculations. You will study exponential smoothing and trend-adjusted exponential smoothing, which are widely used to predict future demand based on historical data. The course also explains moving averages and weighted moving averages, helping businesses identify trends and reduce forecasting errors.

In addition, the course covers EOQ (Economic Order Quantity) and quantity discount models, which are essential inventory management tools. These methods help businesses determine the optimal order quantity that minimizes total inventory costs while maintaining efficient stock levels.

By the end of this course, you will be able to solve important operations management numerical problems, apply forecasting techniques, and understand project optimization methods used in business environments and exams.