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Windows 2000
                            Scheduling
                           GE Aircraft Engines Account


Project Leader:   Michael Lisenby
                  Project Coordinator
Start Date:
                  May 1, 2002
                                        Master Black Belt: Steven Bonacorsi
Six Sigma in Action
                                                                   W2K Schedule Accuracy
Customer Profile – 18,000 seat Aircraft Engines Business.                      Observations/Conclusion

                                                                    The major types of problems (exceptions) with the
Business Problem & Impact                                           data submitted is Bi Modal by Type as some fields
The initial process for upgrading users to Windows 2000             we never completed by anyone.
invited missed appointments, erroneously handled user               68.1% of problems are due to Windows 2000
notifications, faulty user/requestor information, and duplicated    already existing on users' machines, PCs that have
work efforts. It did not lend itself to a means of manageable       been replaced, and Incompatible applications.
scheduling for the customer, nor any financial benefit to ITS.
                                                                    95% Confident that each form will have an average
                                                                    of 8 defective fields per unit and is statistically
Measure & Analyze                                                   significant with a P-Value of 0.000
Data Collection: Degree of completion of work requests were
                                                                    95% Confident that each form will have an average
measured. The existing process sigma was 0.53.                      of 2 successful fields and is statistically significant
Root Causes: Operational definitions and attention to data          with a P-Value of 0.000
requirements were identified as root causes.
Improve & Control                                                                       5
                                                                                                           Improved
The data collection method was fully digitized, and the C.E.                                              Operational
was instrumental in improved scheduling by contacting (more                                                definitions
responsive) users directly.                                                                               resulted in
                                                                                               Success   98% success
Results/Benefits                                                                               Defect       rate for
After the 3 month project, Labor efficiency contributed $56,800                                          digitized data
and increased revenue contributed $30,720 to an overall                                                    collection.
                                                                                         295
$87.5K annual benefit.


                          A savings of US$87.5K in 2002!

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Operating System Six Sigma Case Study

  • 1. Windows 2000 Scheduling GE Aircraft Engines Account Project Leader: Michael Lisenby Project Coordinator Start Date: May 1, 2002 Master Black Belt: Steven Bonacorsi
  • 2. Six Sigma in Action W2K Schedule Accuracy Customer Profile – 18,000 seat Aircraft Engines Business. Observations/Conclusion The major types of problems (exceptions) with the Business Problem & Impact data submitted is Bi Modal by Type as some fields The initial process for upgrading users to Windows 2000 we never completed by anyone. invited missed appointments, erroneously handled user 68.1% of problems are due to Windows 2000 notifications, faulty user/requestor information, and duplicated already existing on users' machines, PCs that have work efforts. It did not lend itself to a means of manageable been replaced, and Incompatible applications. scheduling for the customer, nor any financial benefit to ITS. 95% Confident that each form will have an average of 8 defective fields per unit and is statistically Measure & Analyze significant with a P-Value of 0.000 Data Collection: Degree of completion of work requests were 95% Confident that each form will have an average measured. The existing process sigma was 0.53. of 2 successful fields and is statistically significant Root Causes: Operational definitions and attention to data with a P-Value of 0.000 requirements were identified as root causes. Improve & Control 5 Improved The data collection method was fully digitized, and the C.E. Operational was instrumental in improved scheduling by contacting (more definitions responsive) users directly. resulted in Success 98% success Results/Benefits Defect rate for After the 3 month project, Labor efficiency contributed $56,800 digitized data and increased revenue contributed $30,720 to an overall collection. 295 $87.5K annual benefit. A savings of US$87.5K in 2002!