SPC; Statistical Process Control
SPC uses the natural variation of your process as the norm and then uses statistical techniques to check for any changes in this behavior. There are many possible reasons for a change in a processes behavior : A new batch of material, a worn tool, a new piece of measuring kit. Don't worry about the maths side, You'll need to grasp a few basic ideas but the software does the hard work for you.
This methodology checks out the capability of your gauge and the measuring process. Where is the variation coming from? The gauge? the measurement process? An essential technique if you want to run effective SPC.Not to be confused with "Resolution" the smallest measurement your gauge can resolve or Accuracy how close your gauge is to the true value.
FMEA; Failure Modes and Effects Analysis
A risk analysis technique used widely in the automotive and aerospace industries but applicable in any environment. This tool helps you to discover and prioritise potential risks to your product.
NASA claim it was instrumental in the success of the moon landings and I view that as a pretty good recommendation.
OEE; Overall equipment effectiveness
OEE helps you to look in detail at the losses at each machine. After removing scheduled downtime there are usually three main losses:-
-Unplanned maintenence: Breakdowns large and small
-Quality losses: Product scrapped at the machine
-Low line speed: The difference between output you would expect from the time the machine is actually running and what you actually get.
OEE monitors these and helps you prioritise and fix the biggest problems.
Click on the logo to see how Datalyzer can help you to implement these key methods and improve your quality and profitability.