Control ChartsControl Charts

Control Charts allow a company’s performance over time to be analyzed by combining performance data, average, range and standard deviation. Control charts usually used to analyze a process the company performs.

DataData The data used in the control charts we

will discuss (X bar and R Charts) are samples of a population

From Gillette example 15 hours become 15 subgroups representing the total population of razor blades and each subgroup will have 5 data values n = 5.

Data

Table of Data from Gillette Table of Data from Gillette ExampleExample

Subgroups

5 measurements for each subgroup

Calculations for the DataCalculations for the Data Find the mean (X) and the range for each

subgroup 1. X = ( Σ xi ) / n

2. R = Max (xi) – Min (xi)

Find the mean of the X and Range 1. X = ( Σ X i ) / (#of sub groups )

2. R = ( Σ Ri ) / (# of sub groups )

Data with Calculated figuresData with Calculated figures

Create Control ChartsCreate Control Charts

Limits to our Control chartsLimits to our Control charts Upper and lower control limits represent 3

standard deviations above and 3 standard deviations below the mean line respectfully.

Instead of calculating the standard deviation for all of the sample data we use these simple equations

Control Limit EquationsControl Limit Equations X (UCLx) = X + A2*R X (LCLx) = X - A2*RWhere A2 can be found on page 237 of your Intro to IE

textbook

R (UCLR) = D4*R R (LCLR) = D3*R Where D4 and D3 can be found on page 237 of your Intro to

IE textbook.

Finished Control ChartsFinished Control Charts

Control Chart AnalysisControl Chart Analysis To analyze the control charts it is important

to remember that the data is represented over six standard deviations, there are three standard deviations from the mean line to the upper control limit and three from the mean to the lower control limit. To help analyze the charts, it is important to divide the chart area into six sections A, B, and C representing the standard deviations.

Example of Different ZonesExample of Different Zones

Interpreting the Control ChartInterpreting the Control Chart To interpret the data we first look at the R

chart. The R chart represents the variety in the data and if the variety is to great than there is no need to look at the X control chart.

The chart is out of control if one or a combination of the following four examples occur:

Process out of ControlProcess out of Control

1.      If one point falls outside of the 3 sigma control limits (beyond zone A)

Process out of ControlProcess out of Control

2. If two out of any three successive points fall in zone A of the same side

Process out of ControlProcess out of Control

3. If four out of any five successive points fall in or beyond zone B of the same side

Process out of ControlProcess out of Control

4. If eight successive points fall in or beyond zone C of the same side

How does the Co-ops Control Charts Look?