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QUAN 6610




                                 7 QC Tools:
                          The Lean Six Sigma Pocket
                                  Toolbook

                          •Flowchart [p. 33-41]
                          •Check Sheet [p. 78-81]
                          •Histogram [p. 111-113]
                          •Pareto [p. 142-144]
                          •Cause-and-Effect [p. 146-147]
                          •Scatter [p. 154-155]
                          •Control Chart [p. 122-135]
                                                           1




                                  Pareto Diagram




                                                           2




Process Variability Concepts                                   1
QUAN 6610




                        Step 1: Decide on problem, type of
                        data, and causes or categories.




                                                             3




                               Step 2: Collect the data.




                                                             4




Process Variability Concepts                                     2
QUAN 6610




                        Step 3: Order the causes or categories.




                                                                  5




                       Step 4: Calculate the cumulative totals.




                                                                  6




Process Variability Concepts                                          3
QUAN 6610




                       Step 5: Draw and label the horizontal
                       axis.




                                                                7




                                     Step 6: Draw, scale, and
                                     label the vertical axis.




                                                                8




Process Variability Concepts                                        4
QUAN 6610




                        Step 7: Draw bars for each cause or
                        category.




                                                               9




                        Step 8: Draw cumulative total lines.




                                                               10




Process Variability Concepts                                        5
QUAN 6610




                                              Interpret the Pareto Chart.




                                                                                                   11




                                                            Pareto Diagram
                                                            (Using EXCEL)


                   1. Create a table listing the sources of defects in the first column
                   and in the second column calculate the total number of defects per
                   source.
                   Error Category                     Jan    Feb   Mar   Apr   May   Jun   Total
                   Improper credit check               2            1           1           4
                   Unsigned signature card             4      3     2    3      4    2      18
                   Starter checks not provided         4            1           1           6
                   Disclosures not provided                   1     1                1      3
                   Checks not ordered                 2             4    3      2    5      16
                   Paperwork lost at DP center        1             1                       2
                   Incorrect data entry at DP         2             2                       4


                   source: Brightman, Data Analysis




                                                                                                   12




Process Variability Concepts                                                                            6
QUAN 6610




                   2. Sort the table by the total number of defects in descending order.
                   In the third column, calculate the cumulative percentage for each row
                   in the table.
                   Error Category                    Total   Error Category                Total    Cum %
                   Unsigned signature card            18     Unsigned signature card        18      33.96%
                   Checks not ordered                 16     Checks not ordered             16      64.15%
                   Starter checks not provided        6      Starter checks not provided    6       75.47%
                   Improper credit check              4      Improper credit check          4       83.02%
                   Incorrect data entry at DP         4      Incorrect data entry at DP     4       90.57%
                   Disclosures not provided           3      Disclosures not provided       3       96.23%
                   Paperwork lost at DP center        2      Paperwork lost at DP center    2      100.00%


                  3. Create a chart with the ChartWizard (custom --- line-column
                  on two axes).




                                                                                                             13




                                          Opening checking account errors

                                            20                                               100.00%

                                            15                                               80.00%
                                                                                             60.00%
                                            10
                                                                                             40.00%
                                                 5                                           20.00%
                                                 0                                           0.00%
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                                                                                                             14




Process Variability Concepts                                                                                      7
QUAN 6610




                               Cause and Effect Diagram




                                                               15




                          Step 1: Develop problem statement.




                                                               16




Process Variability Concepts                                        8
QUAN 6610




                                Step 2: Brainstorm causes.




                                                             17




                               Step 2: Brainstorm causes.




                                                             18




Process Variability Concepts                                      9
QUAN 6610




                     Step 3: Determine the major cause categories.




                                                                19




                        Step 4: Determine the category for
                        Each listed cause.




                                                                20




Process Variability Concepts                                         10
QUAN 6610




                        Step 4: Determine the category for
                        Each listed cause.




                                                             21




                        Step 5: Put categories and causes
                        On cause & effect diagram.




                                                             22




Process Variability Concepts                                      11
QUAN 6610




                        Step 6: Identify the most likely causes.




                                                                   23




                     “Failure to understand variation is
                            the central problem of
                                management.”




                                                                   24




Process Variability Concepts                                            12
QUAN 6610




                             Stable vs. Unstable process

                             Stable process: a process in which variation in
                             outcomes arises only from common causes.


                             Unstable process: a process in which variation is a
                             result of both common and special causes.




                                                                                                      25
                 source: Moen, Nolan and Provost, Improving Quality Through Planned Experimentation




                                              Red Bead experiment




                                                                                                      26




Process Variability Concepts                                                                               13
QUAN 6610




                                                Red Bead Experiment


                          What are the lessons learned?
                          1.
                          2.
                          3.
                          4.




                                                                                                    27




                          Statistical Process Control:
                                 Control Charts
                   Process
                   Parameter                                  • Track process parameter over time
                                                                - mean
                                                                - percentage defects
                           Upper Control Limit (UCL)
                                                              • Distinguish between
                                                                - common cause variation
                           Center Line                            (within control limits)
                                                                - assignable cause variation
                                                                  (outside control limits)
                           Lower Control Limit (LCL)
                                                              • Measure process performance:
                                                                how much common cause variation
                                                                is in the process while the process
                                                       Time     is “in control”?


                                                                                                    28




Process Variability Concepts                                                                             14
QUAN 6610




                           Conceptual
                              view
                             of SPC




                                                                                                  29
                 source: Donald Wheeler, Understanding Statistical Process Control




                                                                                     Process
                                                                                     Stability
                                                                                        vs.
                                                                                      Process
                                                                                     Capability




                           Wheeler, Understanding Statistical Process Control                     30




Process Variability Concepts                                                                           15
QUAN 6610




                              Advantages of Statistical Control

                          1. Can predict its behavior.
                          2. Process has an identity.
                          3. Operates with less variability.
                          4. A process having special causes is unstable.
                          5. Tells workers when adjustments should not be made.
                          6. Provides direction for reducing variation.
                          7. Plotting of data allows identifying trends over time.
                          8. Identifies process conditions that can result in an
                          acceptable product.

                                                                                                                                                  31
                 source: Juran and Gryna, Quality Planning and Analysis, p. 380-381.




                                Identifying Special Causes of Variation




                                                                                       source: Brian Joiner, Fourth Generation Management, pp. 260.




                                                                                       See also Lean Six Sigma
                                                                                       Pocket Toolbook, p. 133-135.


                                                                                                                                                  32




Process Variability Concepts                                                                                                                           16
QUAN 6610




                            Strategies for Reducing Special Causes of Variation


                            • Get timely data so special causes are signaled
                            quickly.
                            • Put in place an immediate remedy to contain any
                            damage.
                            • Search for the cause -- see what was different.
                            • Develop a longer term remedy.




                                                                                                   33
                 source: Brian Joiner, Fourth Generation Management, pp. 138-139.




                              “In a common cause
                              situation, there is no such
                              thing as THE cause.”
                                                                                    Brian Joiner



                                                                                                   34




Process Variability Concepts                                                                            17
QUAN 6610




                                   Improving a Stable Process

                            • Stratify -- sort into groups or categories; look for
                            patterns. (e.g., type of job, day of week, time, weather,
                            region, employee, product, etc.)
                            • Experiment -- make planned changes and learn from
                            the effects. (e.g., need to be able to assess and learn
                            from the results -- use PDCA .)
                            • Disaggregate -- divide the process into component
                            pieces and manage the pieces. (e.g., making the
                            elements of a process visible through measurements
                            and data.)
                                                                                                                        35
                 source: Brian Joiner, Fourth Generation Management, pp. 140-146.




                                                      A Conversation with Joseph Juran

                            “Take this example: In finance we set a budget. The actual expenditure, month by
                            month, varies - we bought enough stationery for three months, and that’s going to be
                            a miniblip in the figures. Now, the statistician goes a step further and says, ‘How do
                            you know whether it’s a miniblip or there’s a real change here?’ The statistician says,
                            ‘I’ll draw you a pair of lines here. These lines are such that 95% of the time, you’re
                            going to get variation between them.’
                            Now suppose something happens that’s clearly outside the lines. The odds are
                            something’s amok. Ordinarily this is the result of something local, because the
                            system is such that it operates in control. So supervision converges on the scene to
                            restore the status quo.
                            Notice the distinction between what’s chronic [common cause] and what’s sporadic
                            [special cause]. Sporadic events we handle by the control mechanism. Ordinarily
                            sporadic problems are delegable because the origin and remedy are local. Changing
                            something chronic requires creativity, because the purpose is to get rid of the status
                            quo - to get rid of waste. Dealing with chronic requires structured change, which has
                            to originate pretty much at the top.”


                     Source: A Conversation with Joseph Juran, Thomas Stewart, Fortune, January 11, 1999, p. 168-170.   36




Process Variability Concepts                                                                                                 18

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7 QC Tools

  • 1. QUAN 6610 7 QC Tools: The Lean Six Sigma Pocket Toolbook •Flowchart [p. 33-41] •Check Sheet [p. 78-81] •Histogram [p. 111-113] •Pareto [p. 142-144] •Cause-and-Effect [p. 146-147] •Scatter [p. 154-155] •Control Chart [p. 122-135] 1 Pareto Diagram 2 Process Variability Concepts 1
  • 2. QUAN 6610 Step 1: Decide on problem, type of data, and causes or categories. 3 Step 2: Collect the data. 4 Process Variability Concepts 2
  • 3. QUAN 6610 Step 3: Order the causes or categories. 5 Step 4: Calculate the cumulative totals. 6 Process Variability Concepts 3
  • 4. QUAN 6610 Step 5: Draw and label the horizontal axis. 7 Step 6: Draw, scale, and label the vertical axis. 8 Process Variability Concepts 4
  • 5. QUAN 6610 Step 7: Draw bars for each cause or category. 9 Step 8: Draw cumulative total lines. 10 Process Variability Concepts 5
  • 6. QUAN 6610 Interpret the Pareto Chart. 11 Pareto Diagram (Using EXCEL) 1. Create a table listing the sources of defects in the first column and in the second column calculate the total number of defects per source. Error Category Jan Feb Mar Apr May Jun Total Improper credit check 2 1 1 4 Unsigned signature card 4 3 2 3 4 2 18 Starter checks not provided 4 1 1 6 Disclosures not provided 1 1 1 3 Checks not ordered 2 4 3 2 5 16 Paperwork lost at DP center 1 1 2 Incorrect data entry at DP 2 2 4 source: Brightman, Data Analysis 12 Process Variability Concepts 6
  • 7. QUAN 6610 2. Sort the table by the total number of defects in descending order. In the third column, calculate the cumulative percentage for each row in the table. Error Category Total Error Category Total Cum % Unsigned signature card 18 Unsigned signature card 18 33.96% Checks not ordered 16 Checks not ordered 16 64.15% Starter checks not provided 6 Starter checks not provided 6 75.47% Improper credit check 4 Improper credit check 4 83.02% Incorrect data entry at DP 4 Incorrect data entry at DP 4 90.57% Disclosures not provided 3 Disclosures not provided 3 96.23% Paperwork lost at DP center 2 Paperwork lost at DP center 2 100.00% 3. Create a chart with the ChartWizard (custom --- line-column on two axes). 13 Opening checking account errors 20 100.00% 15 80.00% 60.00% 10 40.00% 5 20.00% 0 0.00% ck DP ed t p DP ed d ed er no c ar nt he d id er at vi ce ov rd tc re ro try to op t pr t d edi tu en Ch gna no no cr at a ks si er st at es s ck ec lo d pe s ur ne he k pr ec or lo s ig rc Im rr sc rw co te Un Di ar In Pa St 14 Process Variability Concepts 7
  • 8. QUAN 6610 Cause and Effect Diagram 15 Step 1: Develop problem statement. 16 Process Variability Concepts 8
  • 9. QUAN 6610 Step 2: Brainstorm causes. 17 Step 2: Brainstorm causes. 18 Process Variability Concepts 9
  • 10. QUAN 6610 Step 3: Determine the major cause categories. 19 Step 4: Determine the category for Each listed cause. 20 Process Variability Concepts 10
  • 11. QUAN 6610 Step 4: Determine the category for Each listed cause. 21 Step 5: Put categories and causes On cause & effect diagram. 22 Process Variability Concepts 11
  • 12. QUAN 6610 Step 6: Identify the most likely causes. 23 “Failure to understand variation is the central problem of management.” 24 Process Variability Concepts 12
  • 13. QUAN 6610 Stable vs. Unstable process Stable process: a process in which variation in outcomes arises only from common causes. Unstable process: a process in which variation is a result of both common and special causes. 25 source: Moen, Nolan and Provost, Improving Quality Through Planned Experimentation Red Bead experiment 26 Process Variability Concepts 13
  • 14. QUAN 6610 Red Bead Experiment What are the lessons learned? 1. 2. 3. 4. 27 Statistical Process Control: Control Charts Process Parameter • Track process parameter over time - mean - percentage defects Upper Control Limit (UCL) • Distinguish between - common cause variation Center Line (within control limits) - assignable cause variation (outside control limits) Lower Control Limit (LCL) • Measure process performance: how much common cause variation is in the process while the process Time is “in control”? 28 Process Variability Concepts 14
  • 15. QUAN 6610 Conceptual view of SPC 29 source: Donald Wheeler, Understanding Statistical Process Control Process Stability vs. Process Capability Wheeler, Understanding Statistical Process Control 30 Process Variability Concepts 15
  • 16. QUAN 6610 Advantages of Statistical Control 1. Can predict its behavior. 2. Process has an identity. 3. Operates with less variability. 4. A process having special causes is unstable. 5. Tells workers when adjustments should not be made. 6. Provides direction for reducing variation. 7. Plotting of data allows identifying trends over time. 8. Identifies process conditions that can result in an acceptable product. 31 source: Juran and Gryna, Quality Planning and Analysis, p. 380-381. Identifying Special Causes of Variation source: Brian Joiner, Fourth Generation Management, pp. 260. See also Lean Six Sigma Pocket Toolbook, p. 133-135. 32 Process Variability Concepts 16
  • 17. QUAN 6610 Strategies for Reducing Special Causes of Variation • Get timely data so special causes are signaled quickly. • Put in place an immediate remedy to contain any damage. • Search for the cause -- see what was different. • Develop a longer term remedy. 33 source: Brian Joiner, Fourth Generation Management, pp. 138-139. “In a common cause situation, there is no such thing as THE cause.” Brian Joiner 34 Process Variability Concepts 17
  • 18. QUAN 6610 Improving a Stable Process • Stratify -- sort into groups or categories; look for patterns. (e.g., type of job, day of week, time, weather, region, employee, product, etc.) • Experiment -- make planned changes and learn from the effects. (e.g., need to be able to assess and learn from the results -- use PDCA .) • Disaggregate -- divide the process into component pieces and manage the pieces. (e.g., making the elements of a process visible through measurements and data.) 35 source: Brian Joiner, Fourth Generation Management, pp. 140-146. A Conversation with Joseph Juran “Take this example: In finance we set a budget. The actual expenditure, month by month, varies - we bought enough stationery for three months, and that’s going to be a miniblip in the figures. Now, the statistician goes a step further and says, ‘How do you know whether it’s a miniblip or there’s a real change here?’ The statistician says, ‘I’ll draw you a pair of lines here. These lines are such that 95% of the time, you’re going to get variation between them.’ Now suppose something happens that’s clearly outside the lines. The odds are something’s amok. Ordinarily this is the result of something local, because the system is such that it operates in control. So supervision converges on the scene to restore the status quo. Notice the distinction between what’s chronic [common cause] and what’s sporadic [special cause]. Sporadic events we handle by the control mechanism. Ordinarily sporadic problems are delegable because the origin and remedy are local. Changing something chronic requires creativity, because the purpose is to get rid of the status quo - to get rid of waste. Dealing with chronic requires structured change, which has to originate pretty much at the top.” Source: A Conversation with Joseph Juran, Thomas Stewart, Fortune, January 11, 1999, p. 168-170. 36 Process Variability Concepts 18