Engineering Training

This two day course will provide an introduction to the concepts of Measurement System Analysis (MSA), which is often referred to as Gage Repeatability & Reproducibility (Gage R&R). Participants will hone their individual skills during a step-by-step, instructor led interactive example using sample demonstration parts.

This two-day workshop will equip participants with the knowledge and skills necessary to rank the criticality of machines/assets within a manufacturing environment and to implement Failure Modes and Effects Analysis (FMEA) effectively. This allows them to identify and prioritize failure modes, assess risks, and develop mitigation strategies. This is a hands-on interactive workshop that uses the simulated Industry 4.0 factory in our CAVS-E Experiential Learning Lab (C.E.L.L.).

This 3-day (24 Hours) course covers the tasks that an operator, technician, engineer or programmer needs to setup, record and/or troubleshoot programs on a FANUC CRX-Series Collaborative Robot.

This two day workshop is structured so that participants gain a solid understanding of the use of Statistical Process Control to drive process improvement. The class is taught through a balance lecture, class discussion, class exercises, and follow-on participant projects. Specific topics include both variables and attribute control charting. Specific variables control charting tools include X-BAR and R charts, as well as X and Moving R. Specific Attribute charting techniques are also presented including P, C, and U Charts. Also process capability indexes are presented and explained (i.e., Cp, Cpk, Pp, Ppk). Throughout the class a strong emphasis is placed on how to connect SPC with root causes oriented problem solving. Key concepts are reinforced through the use of catapults to simulate the real world linkage between SPC and process improvement.

This two day workshop is structured so that participants gain a solid understanding of the use of Statistical Process Control to drive process improvement. The class is taught through a balance lecture, class discussion, class exercises, and follow-on participant projects. Specific topics include both variables and attribute control charting. Specific variables control charting tools include X-BAR and R charts, as well as X and Moving R. Specific Attribute charting techniques are also presented including P, C, and U Charts. Also process capability indexes are presented and explained (i.e., Cp, Cpk, Pp, Ppk). Throughout the class a strong emphasis is placed on how to connect SPC with root causes oriented problem solving. Key concepts are reinforced through the use of catapults to simulate the real world linkage between SPC and process improvement.