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Six Sigma DMAIC Project




                                      GEITS: GEAE Account




                                       Project Leader/Green Belt: Dan Subit
                                      Project Leader Title: Customer Engineer
                                          Project Start Date: 08/05/2003

Master Black Belt: Steven Bonacorsi
Six Sigma in Action
                                                                           Redeploy Diagnostics


Customer Profile – 8, 000 Seat Aircraft Engines Manufacturing Company
Business Problem & Impact
                                                                           Process Capability – Before
PC and Laptop Hardware which was surplused prior to it’s
warranty end date was not being checked for functionality prior                 Defect 8%
to being sold. This cost GEITS revenue by not receiving                          5 Units
                                                                                              Success 92%
warranty claims.                                                                                55 Units
Measure & Analyze
Data Collection: Systems which were surplused <36 months
old but pulled from redeploy to be sold after 36 were measured
for functionality. As is the process was 8% defective.                            Z(ST) = 2.9
Root Causes: System did not have diagnostics ran when
received and technicians were unaware of the diagnostic
check procedure.
                                                                                   Baseline        Improved
Improve & Control
All systems received at the warehouse which are <36 months        Units:              60                 47
old are now checked for functionality prior to being placed in    Defects:             5                 0
redeploy. Surplus system functionality will be checked Qrtly. A
C-chart will be used to validate and update financials.           DPMO              83,333               0

Results/Benefits                                                  Z (ST)             2.88              6.0
After implementation, defects were reduced to 0 resulting in a    Z (LT)             1.38              4.5
GEITS expected direct benefit of 11.4 K annually.


                              A savings of US$11.4K in 2003!

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Redeploy Diagnostics Six Sigma Case Study

  • 1. Six Sigma DMAIC Project GEITS: GEAE Account Project Leader/Green Belt: Dan Subit Project Leader Title: Customer Engineer Project Start Date: 08/05/2003 Master Black Belt: Steven Bonacorsi
  • 2. Six Sigma in Action Redeploy Diagnostics Customer Profile – 8, 000 Seat Aircraft Engines Manufacturing Company Business Problem & Impact Process Capability – Before PC and Laptop Hardware which was surplused prior to it’s warranty end date was not being checked for functionality prior Defect 8% to being sold. This cost GEITS revenue by not receiving 5 Units Success 92% warranty claims. 55 Units Measure & Analyze Data Collection: Systems which were surplused <36 months old but pulled from redeploy to be sold after 36 were measured for functionality. As is the process was 8% defective. Z(ST) = 2.9 Root Causes: System did not have diagnostics ran when received and technicians were unaware of the diagnostic check procedure. Baseline Improved Improve & Control All systems received at the warehouse which are <36 months Units: 60 47 old are now checked for functionality prior to being placed in Defects: 5 0 redeploy. Surplus system functionality will be checked Qrtly. A C-chart will be used to validate and update financials. DPMO 83,333 0 Results/Benefits Z (ST) 2.88 6.0 After implementation, defects were reduced to 0 resulting in a Z (LT) 1.38 4.5 GEITS expected direct benefit of 11.4 K annually. A savings of US$11.4K in 2003!