THIS IMAGE explains difference BETWEEN MSA and SPC in a very simple way.
#MSA (Measurement System Analysis) – Measurement System Quality
👉 MSA means: whether the measurement you are taking (like CALIPER, MICROMETRE) is correct or not
What is checked in MSA👇👇
#ACCURACY
👉 How close the measurement is to actual value.
#PRECISION
👉 Whether you get same result when measuring repeatedly
#REPEATABILITY
👉 Same person, same tool → gives same result or not
#REPRODUCIBILITY
👉 Different person / different machine → gives same result or not
#BIAS
👉 Whether the measurement system is consistently giving wrong results
[MSA = Is my measuring tool reliable]
#SPC (Statistical Process Control) – Process Stability
👉 SPC means: whether process is running properly or not
What is included in SPC👇👇
#PROCESS_STABILITY
👉 Whether the process is stable or changing frequently
#VARIATION
👉 How much variation is present in the output
#CONTROL_LIMITS (UCL / LCL)
👉 Upper and lower limits within which the process should stay
#SPECIAL_CAUSES
👉 Sudden problems (machine fault, operator error)
#CONTROL_CHART
👉 Tracking data over time
[SPC = Is my process under control]
MSA vs SPC – Easy Comparison👇👇
FOCUSMEASUREMENT SYSTEMPROCESS
GOALMEASUREMENT is CORRECTPROCESS is STABLE USECHECKING TOOLSMONITORING PRODUCTION EXAMPLEIs the CALIPER MEASURING CORRECTLYIs the MACHINE GIVING CONSISTENT OUTPUT?
If measurement itself is wrong (MSA fails)
then there is no benefit of doing SPC
👉 First fix MSA then apply SPC
#MSA #SPC #QualityEngineering #Manufacturing #ProcessControl #SixSigma #Lean #QualityControl