October 9, 2017

LEARN TO AVOID COSTLY REWORK WITH SPC DATA ANALYSIS

Statistical Process Control (SPC) eliminates the cost of finding and reworking defective parts by detecting when something is going wrong with the process:

  • Process Capability Analysis (Cp) tells you how well an extruded product is currently fitting within the allowed drawing spec. limits. For example, Cp of 2.0 shows the products currently being produced will “potentially” fit twice between the max/min tolerances (so 2.0 is a very good Cp result!).
  • CpK is a measure of how well the extrudate is currently “centered” within the drawing max and min limits.
  • Control charts let you visually monitor how well your extrusion process fits between the min and max limits, and if the process is drifting towards either spec limits so you can correct this before scrap parts are made.
  • AQL sampling techniques and acceptance plans allow a good balance of taking fewer samples without losing control of the process. Samples can be either measured (“Variable data” ) or given a “score” as to their quality (“Attribute data”).
  • Gauge studies and reliability/ repeatability studies (R&R) make sure your measurement system is accurate, and no operator error is being made.

We have scheduled a Statistical Process Control course for 2nd & 3rd November 2017.

Find out all the details here

 

 

 

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