Statistical Process Control

Background:

Statistical process control (SPC) is the application of statistical methods to the monitoring and control of a process to ensure that it operates at its full potential to produce conforming product. Under SPC, a process behaves predictably to produce as much conforming product as possible with the least possible waste. While SPC has been applied most frequently to controlling manufacturing lines, it applies equally well to any process with a measurable output. Much of the power of SPC lies in the ability to examine a process and the sources of variation in that process using tools that give weight to objective analysis. Variations in the process that may affect the quality of the end product or service can be detected and corrected, thus reducing waste as well as the likelihood that problems will be passed on to the customer. With its emphasis on early detection and prevention of problems, SPC has a distinct advantage over other quality methods. In addition to reducing waste, SPC leads to process cycle time reductions and improvements in yield which have made SPC a valuable tool from both a cost reduction and a customer satisfaction standpoint.

Duration

2 Days

Content

  •   Overview of SPC
  •   Collection & Presentation of Data
  •   Statistical Tools
  •   Variance
  •   Central Tendency of Data
  •   Standard Deviation
  •   Process Control & Capability
  •   Characters of Normal Distribution
  •   Establishing Process Capability
  •   Regular Monitoring of Process
  •   Control of Process within Process Capability
  •   Improvement in Process Capability
  •   Specification & Control Limits
  •   Control Charts
  •   Variable Control Charts
  •   Attribute Control charts

Benefits

  •   Reduce waste
  •   Reduce process cycle time
  •   Reduce process variations
  •   Increase productivity and growth
  •   Exceed customer expectations
  •   Drive productivity and growth

Who should attend?

  •   Quality personnel
  •   Production Supervisors
  •   Operators