This course analyzes operating decisions commonly encountered in the production process. This course is a study of quantitative scientific management techniques, including decision tree analysis and linear programming, with a strong orientation towards application. Topics include forecasting, inventory planning, aggregate planning and scheduling, plant layout, quality improvement, waste reduction, methods analysis, and work measurement. Case studies and projects are employed to provide practical applications of the topics discussed. Prerequisite: MATH 270.