BUSA 4800 Productions and Operations Management

Production/Operations management involves planning, monitoring and controlling, and improving daily operations within a corporation, whether service or manufacturing. Using the Supply Chain Operations Reference model that defines the functions of Plan, Source, Make, Deliver, and Return, students will be introduced to the complex issues surrounding operations management in today's fast-changing world. A variety of tools and strategies including Lean/Six Sigma, Scaled Agile Frameworks, Total Quality Management (TQM), and Statistical Process Control (SPC) will be explored to provide a platform for critical thinking and analysis to ensure supply chain and operational resiliency.

Registration Name

Productions Operations Mgmt

Lecture Hours

3

Lab Hours

0

Credits

3

Prerequisite

BUSA 3500 or permission of instructor

Offered

Athens: Spring, Demorest: Spring, Online: Fall

Student Learning Outcomes

At the successful completion of this course, students will be able to:

1. Use a vocabulary of quality management terms and concepts.
2. Articulate an understanding of the theoretical differences between approaches to continuous improvement including TQM and Lean/Six Sigma as well as standards organizations such as ISO and American Society for quality (ASQ).
3. Demonstrate competencies in the tools commonly employed in operations management practice to control business processes and outcomes.
4. Implement critical thinking, ethical considerations in management, strategic planning, and oral and written communications.
5. Apply operational and supply chain management strategies, including work decomposition, demand planning, staffing requirements, and scheduling and budgeting for capacity management.
6. Explain the need for complex communications required in providing information to all organizational stakeholders, both upstream and downstream in the supply chain.
7. Demonstrate a familiarity with quality management themes including continuous improvement, cost control, data analysis tools, and working within an organizational culture.