MN3442 Process Analytics

This course provides strong grounding in the analytical techniques necessary for analyzing, improving and managing operational processes that create and deliver an organization's primary products and services. Accordingly, this course provides DoD managers with the foundation to effectively design, manage and control operational processes. The course design consists of two inter-linked modules -- (1) process analysis, and (2) process improvement. Within these modules, the course covers concepts and analytical techniques such as bottleneck, capacity management, cycle time, critical path, Little’s Law, linear programming, simulation, theory of constraints, inventory management, queuing models, and Lean Six Sigma. After successfully completing the course, the students earn a Yellow Belt Certificate in Lean Six Sigma. Prerequisite: None.

Lecture Hours

4

Lab Hours

0

Course Learning Outcomes

• Adopt the process management viewpoint to understand, analyze, and improve the operations function and its mission in terms of cost, quality, speed, service, flexibility, and readiness.
• Define, describe, and utilize concepts and analytical techniques fundamental to process analysis and design, such as capacity, bottleneck, cycle time, critical path, Little’s Law, and workload balancing.
• Develop hands-on understanding of selected modeling methodologies, such as Linear Programming and Queuing Theory, for process improvement and improved decision-making, and the ability to solve those models using Excel.
• Define, describe, and utilize process control methods, such as the Theory of Constraints, Inventory Management (EOQ and MRP), and Statistical Process Control (SPC).
• Develop sound, high-level understanding of Lean Six Sigma (LSS), including the DMAIC methodology and a range of LSS tools and techniques.