Introduction to Statistical Process Control: Training (SPC) (1 day)

A course for those about to implement statistical process control within their organisation. The course requires no prior knowledge of statistics but competence in basic mathematics is desirable.

• Introduction         
• Variables, attributes, populations and samples     
• Accuracy, precision and variation       
• The Normal distribution        
• Central limit theorem       
• Sampling          
• Mean, median, mode, range and standard deviation     
• Control limits         
• Mean and range control charts (XbarR)    
• Interpreting control charts      
• Investigating an out-of-control process    
• Sensitivity of control charts      
• Mean and standard deviation control charts (XbarS)  
• Individual mean and moving range control charts (XmR) 
• Cumulative sum control charts (CUSUM)    
• Choice of control chart       
• Assessment of normality       
• Process capability and Six Sigma       
• Statistical tolerancing       

Supported by exercises to enhance learning