Why Statistical Process Control?
SPC is a method of measuring and controlling quality by monitoring the manufacturing process. Quality data is collected in the form of product or process measurements or readings from various machines or instrumentation. The data is collected and used to evaluate, monitor and control a process. SPC is an effective method to drive continuous improvement. By monitoring and controlling a process, we can assure that it operates at its fullest potential. One of the most comprehensive and valuable resources of information regarding SPC is the manual published by the Automotive Industry Action Group (AIAG).
Manufacturing companies today are facing ever increasing competition. At the same time raw material costs continue to increase. These are factors that companies, for the most part, cannot control. Therefore companies must concentrate on what they can control: their processes. Companies must strive for continuous improvement in quality, efficiency and cost reduction. Many companies still rely only on inspection after production to detect quality issues. The SPC process is implemented to move a company from detection based to prevention based quality controls. By monitoring the performance of a process in real time the operator can detect trends or changes in the process before they result in non-conforming product and scrap.
Benefits of Statistical Process Control Training:
- Instantaneous operator feedback with actionable information
- Enhanced problem-solving abilities
- Product consistency now and over time
- Lower costs of quality
- Opportunities for company-wide improvements
- Introduction to Statistical Process Control
- The Concept of Variation
- Control Chart Basics
- Continuous Data Control Charts
- I-MR Chart
- Xbar-R Chart
- Xbar-S Chart
- Attribute Data Control Charts
- P Chart
- C Chart
- U Chart
Lecture, Presentation, Activity based real life demonstration, related audio-video visuals, Group Activity, Minitab, Excel.
Who Should Attend-
Quality personnel, Research & Development professionals, Production Managers, Process Engineers, any person who want to deal with measured data.
One Day Training (10:00 AM to 6:00 PM)