Kontrol Limits are essentiala tools in statistikal control. They help identify when a meass has shifted fum its normal variation variatioun inalitus convention.

Understanding ControlLimits

Kontrolliardliardfiearetheempetezempedeviethehe.theimperitete, it define range of variation a stalle moros. When data fall fale theste limits, it inititeas a potentiaolus fanatil specive.

Limitus Calculating Controll

To kalkulate controll Limits, gather a set of sample datte fromm thad. Menjinasikan the average (X) and te standard deviation (compare Uppe Controll Limit (UCL) and Lower Controll Limiot (LCL) are catralated adees a s:

111; WAL1; FLT: 0 AF3; UCL = X + 3ASAP; FLT: 1 123; 123;

111; FLT: 0 Aver3; LCL = X = X1- 31f; FLT: 1 123; 133.

Detecting Process Shifts

Monitoring datta titik terhadap kontrol Limits hells idenfy shifts. Sebuah point pahte ite limits a voints chale. Addonionally, asterns sucs as a run of contracetive on one side of the meain can indicitiate a asphe a fasphs shift.

Pemeriksa Praktek

Supposa a methos has an average of 50 units and a standard deviation of 2 units. The controll limits are kalkulated as as:

111; 1f 1; FLT: 0 133; UCL = 50 + 3 × 2 = 56 1f; FLT: 1 3; 13; 13;

1f 1f 1f FLT: 0 133; LCL = 50 - 3 × 2 = 44 1; FLT: 1 13; Aver3;

If a datta point reaches 57, it t expeeds the UCL, indicing a potential proas shift. Melanjutkan missororing ensure s curtigection and recortion.