Calendar
Intro to Measurement System Analysis Training
Agenda
- What is Measurement System Analysis (MSA)?
- Elements and application of Gage Repeatability and Reproducibility
- Influence and effects of measurements and the measurement system to “process” variation
- Variable & Attribute M.S.A. training with graphical/statistical analysis and interpretation
- Results analysis
*Training utilizes the 6 Sigma method in accordance with AIAG M.S.A.– 4th Edition
Duration: 1 day
Available Discounts:
We are offering a “But 3 seats, get the 4th 50% off” discount for attendees from the same company.
Email us at service@rfminc.net to receive a quote.
Cancellation policy: Cancellations made 6-10 business days prior to the start date are subject to a 50% cancellation fee. Cancellations made less than 5 business days prior to the start date are subject to the full fee.
Program changes: RFM and Sigma Dynamics reserve the right to make changes in programs and speakers or to reschedule programs if a minimum of eight participants are not registered for any class or when conditions beyond their control prevail.
Intro to Statistical Process Control Training
Agenda
- What is Statistical Process Control (SPC)?
- Key Variable and Attribute SPC charts
- Variable and Attribute SPC process steps
- In-class Exercises
- Results Analysis
*Training utilizes the 6 Sigma method in accordance with AIAG M.S.A.– 4th Edition
Duration: 1 day
Available Discounts:
We are offering a “But 3 seats, get the 4th 50% off” discount for attendees from the same company.
Email us at service@rfminc.net to receive a quote.
Cancellation policy: Cancellations made 6-10 business days prior to the start date are subject to a 50% cancellation fee. Cancellations made less than 5 business days prior to the start date are subject to the full fee.
Program changes: RFM and Sigma Dynamics reserve the right to make changes in programs and speakers or to reschedule programs if a minimum of eight participants are not registered for any class or when conditions beyond their control prevail.