DESIGN & APPLICATIONS OF SMART MANUFACTURING PROCESSES
Introduction to smart manufacturing. Understand how a company can connect its operational technology systems (e.g., machine tools) to its information technology systems to improve operational efficiency. Covers terminology, sensors and data, industrial computing platforms, data workflow and analysis, cyber-security, human factors, sequential logic control, and case studies of their application in smart manufacturing. Provides the basis for making informed decisions about how manufacturing processes and systems can be designed to be more adaptive (flexible) by automating, collecting the right data, sharing that data, implementing control systems and understanding the impact on humans and organizational systems.
Prerequisites & course information
Requisites: Graduate/professional standing Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Describe elements of smart manufacturing Audience: Graduate 2. Identify applications for smart manufacturing in their company and articulate arguments for implementing it as well as challenges that may be encountered Audience: Graduate 3. Communicate with the various experts that will need to be engaged to implement smart manufacturing Audience: Graduate 4. Make informed decisions about manufacturing automation, monitoring, control, and human factors Audience: Graduate Learning Outcomes: 1. Describe elements of smart manufacturing Audience: Graduate 2. Identify applications for smart manufacturing in their company and articulate arguments for implementing it as well as challenges that may be encountered Audience: Graduate 3. Communicate with the various experts that will need to be engaged to implement smart manufacturing Audience: Graduate 4. Make informed decisions about manufacturing automation, monitoring, control, and human factors Audience: Graduate
Sources
- Course catalogue ↗2026-2027