Title: The Quality Improvement Model
1TheQualityImprovementModel
Define Process
Select Measures
Collect Interpret Data
Is Process Stable?
IsProcessStable?
No
Investigate Fix Special Causes
Purpose Determine the stability of key measures
of the product.
Yes
IsProcessCapable?
No
Improve Process Capability
Yes
Use SPC to Maintain Current Process
2Types of VariationCommon Causes
Run Chart
- Causes that are inherent in the
- process over time, and affect all
- outcomes of the process.
- Ever-present
- Create small, random fluctuations in the process
- Lots of them
- The sum of their effects creates the expected
variability - Predictable
Quality Characteristic
Time
3Types of VariationSpecial Causes
- Causes that are not present in the
- process all the time, but arise
- because of specific circumstances.
- Not always present in the process
- Can create large process disturbances, or
sustained shifts - Relatively few in number
- Pull the process beyond the expected level of
variability - Unpredictable
Run Chart
Quality Characteristic
Time
Control charts help identify the presence of
special causes.
4Control Chart Components
- Run chart of the data
- Center Line (CL)
- A line at the average of the data or target of
the process - Upper Control Limit (UCL)
- A line at the upper limit of expected variability
- Lower Control Limit (LCL)
- A line at the lower limit of expected variability
The control limits are based on data collected
from the process.
5Rules for Separating Common Special Causes
Two commonly used signals of special causes
are Rule 1 Any point above the Upper Control
Limit (UCL) or below the Lower Control Limit
(LCL) Rule 2 8 points in a row on the same
side of the center line (CL)
Note Additional rules do exist.
6Evaluation of Individuals Data
7Estimating Sigma (Standard Deviation)
8Problem Individuals Chart Calculations
9Individuals Chart Calculations
10Minitab Creating Individuals Control Charts
- Open Minitab Software and the Line 1.MTW
Worksheet. - Create an Individuals Control Chart following
the commands in the notes. - Your output should look like the charts below
11Minitab Creating Individuals Control Charts
- Open Problem 14.MTW located in the Minitab
Datasets folder. - Use Minitab to create an Individuals and Moving
Range control chart for X in column C1. - What do you notice about the X and MR Charts?
- What should you do to establish control limits?
12Minitab Creating Individuals Control Charts With
Range Edited Limits
- As you noticed the moving range control chart for
problem 14 has two ranges that are above the
upper control limit. - So, a special cause source of variation is
included in the limits calculation. - The special cause needs to be removed and the
limits re-calculated. - Row 24 is the data point causing the moving
ranges to be out of the limits. - Use the brush tool to select and update the
control chart or create a new column without data
point 24 (Remember to use the Backspace). - These were taught in the Introduction to Minitab
Course which is a pre-requisite for the SPC
course. - Brush tool Page 13 Introduction to Minitab book
13Minitab Creating Individuals Control Charts With
Range Edited Limits
- The chart below shows the updated control charts
without point 24.
- The updated moving range chart shows more moving
ranges outside of limits. - These are caused by rows 7 and 29.
- Remove the data points and update the control
charts again.
14Minitab Creating Individuals Control Charts With
Range Edited Limits
- The second updated Moving Range chart does not
have any points outside of limits
- The objective is to calculate control limits that
represent common cause sources of variation only. - However, stop editing data points once 10 to 20
of the data has been edited. - If the initial data has this many special causes,
the limits will identify plenty special causes in
the future for you to work on.
15Minitab Obtain Statistics to Calculate Limits
for Continuous Process Monitoring
Select I-MR Options in the I-MR dialog box Choose
Storage and select Means and Standard deviations
16Minitab Obtain Statistics to Calculate Control
Limits Continued
Two new columns are created Mean1 Average of
your data STDE1 Sigma_C
17Process Stability
- Stable Process
- A process in which the key measures of the output
from the process show no signs of special causes.
Variation is a result of common causes only. - Unstable Process
- A process in which the key measures of the output
from the process show signs of special causes in
addition to common causes. Variation is a result
of both common and special causes.
18Process Stability
19A Stable Process
20A Stable Process Sigma S Sigma C
21Un-Stable Process
22Un-Stable Process Sigma S Not Equal to Sigma C
23Advantages of Stable Processes Are
24Polymer Manufacturing Data
Note b is a measure of yellowness
Histogram does not show whether the process is
stable!
25Whats Wrong With Putting SpecificationLimits on
Control Charts?
26Histograms Control Charts
- Histograms
- Plot past data
- Cannot tell if process is stable
- Only useful for prediction if the process is
stable
- Control Charts
- Real-time evaluation
- Help identify presence of special causes
- Assess past and present stability of process
27Pump Maintenance Data
IsProcessStable?
Number of Failures
UCL11.4
Avg4.8
LCLNone
2
4
6
8
10
12
14
16
18
20
22
24
Week
Are there any signals of special causes? Circle
them.
28Driving to Work Data
The next 5 observations are 47, 46, 43, 52, 45.
Plot them. Are there any signals of special
causes? Circle them.
29Purchase Order Data
Are there any signals of special causes? Circle
them.
30Shipping Data
p (fraction nonconforming)
Week
Are there any signals of special causes? Circle
them.
31Quality ImprovementTypes of Control Charts
Counting Measures p charts np charts
c charts u charts
When you have a problem to solve, you want to
choose the right tool.
32ExercisesCircle any signals of special causes
you find in the following control charts.
Example 1
Example 2
Monthly Sales
Time
33Skill Check - Continued
Example 3
Example 4
Number of Lost-Time Accidents
Time
34Exercises
1.) Your Catapult Team should complete page 9 of
the Catapult Process handout. 2.) Be ready to
present your results in PowerPoint Limit
yourselves to 10 minutes for this exercise.