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Lean Six Sigma Improving FTX/STX2 Tank Draw Quality SFC Henry, Don H. II Project Initiation Date: 31/03/08 Analyze Tollgate Date: 03/07/08
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Analyze – Executive Summary ,[object Object],[object Object],[object Object],[object Object]
Project Charter Review ,[object Object],[object Object],Problem/Goal Statement Tollgate Review Schedule Business Impact Core Team ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Tollgate Scheduled Revised   Complete Define: 04/30/08 -  04/29/08 Measure: 05/14/08 04/06/08   04/06/08 Analyze: 06/13/08 07/13/08  XX/XX/08 Improve:   07/18/08 08/13/08  XX/XX/08 Control: 08/23/08 09/13/08  XX/XX/08 ,[object Object],[object Object],[object Object],Problem Statement  Soldiers of 1/16 express dissatisfaction with the Unit Maintenance Activities M1 series tank quality prior to mission support. Currently, 90% of the tanks drawn require maintenance for mission readiness.  Approximately 10% of faults listed on the 5988-E ‘s completed by soldiers are tracked by UMA.  Lastly, tank bumper number accuracy during T-2 is currently at 10% which causes excess work in the last days of the mission support draw.
Baseline Data ,[object Object],[object Object],[object Object],[object Object],The average Tank Draw Time is 34 minutes +/- 24 minutes.
Baseline Data Cont. ,[object Object],[object Object],[object Object],These numbers take into account vehicles presented to draw but never actually drawn or PMCSed. These numbers represent what was actually given, PMCS’ed, and drawn.
Critical X’s:  Cause  and Effect  Matrix Cause and Effect Matrix Key Process Output Variables Customer Importance 10 9 2 6 8                     Customer Rank 1 2 3 4 5                     1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Process Step KPIV accurate tank list 5988-E QA/QC DA Form 2062 Dispatch                     Rank Rating Total Process Steps &  Key Process Input Variables 1 T-1 RATSS 1 9 9 9 1                     2 7.533 171 2 PMCS Technical Manual 9 1 1 9 9                     1 10 227 3 QA/QC UMA inspector 9 1 1 3 3                     3 6.3 143 4 tank sign over DA 2062 9 1 1 1 3                     4 5.771 131 5 tank dispatch 5987-E 9 1 1 1 1                     5 5.066 115 ###                                     #####  
Potential Root Causes:  C & E Diagram Effect: The tank draw takes too long. Man Machine Material Method Spread thinly across multiple tasks Shortage of UMA maintenance personnel Deadlines, AOAP, Service Schedule, affect # of tanks available Tanks already in use by other units/missions BII draw uses excessive people and excess time RATTS request is not referenced by UMA to assign accurate bumper number list Tanks are PMCS’d Tanks are QA/QC’d Tanks are dispatched Excessive delays from lack of UMA personnel 5988-E not updated by UMA
Potential Root Causes:  FMEA Process Step / Input Potential Failure Mode Potential Failure Effects SEVERITY Potential Causes OCCURRENCE Current Controls DETECTION RPN   What is the process step and Input under investiga-tion? In what ways does the Key Input go wrong? What is the impact on the Key Output Variables (Customer Requirements)? What causes the Key Input to go wrong? What are the existing controls and procedures (inspection and test) that prevent either the cause or the Failure Mode? T-1 bumper number list not accurate excessive delays 7 lack of organization 7 none 7 343 PMCS not updated rework 7 lack of personnel 6 Army Policy 5 210 QA/QC not timely rework 4 lack of maintenance 4 EXSOP/Army policy 4 64 tank sign over already issued rework 7 lack of organization 2 Army Policy/EXSOP 2 28 tank dispatch does not go wrong no problems 1 no problems 1 EXSOP 5 5
Reducing List of Root Causes:  Pareto Analysis Track able causes contained over 90% of the Defects.  Our project will focus on tracking vehicle maintenance status.
Root Cause Analysis:  Non-Value Add Analysis QAQC Maintenance leader Dispatch Soldier Issues bumper number list to soldier Maintenance leader checks 5988-E and verifies faults/makes repairs if needed  Hand receipt Vehicle signed over to soldier Avg. Delay 2 hours Avg.Delay 15 min Avg. Delay 90 min Soldier conducts PMCS and completes 5988-E, turns it in to maintenance leader  Passes QAQC Receives signed QAQC sheet Vehicle dispatched to soldier YES NO NVA time is in dark blue Total delay time is 3.75 hours Retrieves info from RATSS system Notify UMA of the # of tanks needed
Root Cause Analysis: Histogram The outlier was a vehicle issued that was actually NMC and required 90 minutes to repair. The vehicle that required 60 minutes was actually dispatched to another unit. Two of the five that required 45 minutes of work were deadline with a third needing a QAQC from UMA 5.25 hours were spent doing rework that is non value added
One-Way ANOVA of Time and Defects ,[object Object],[object Object]
One-Way ANOVA of Time and Defects Data ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],The R-squared value of 48.59% is statistically significant meaning the model predicts nearly half of the variation causing increased tank draw times as being caused by defects. Therefore we reject the null hypothesis.
Mood’s Median Test ,[object Object],[object Object],Mood Median Test: TIME versus DEFECT  Mood median test for TIME Chi-Square = 13.37  DF = 1  P = 0.000 Individual 95.0% CIs DEFECT  N<=  N>  Median  Q3-Q1  -----+---------+---------+---------+- D  0  4  45  56  *------------------------) I  0  1  60  Not Used N  13  1  30  15  (----* Q  0  1  45  Not Used  -----+---------+---------+---------+- 30  60  90  120 Overall median = 30 * NOTE * Levels with < 6 observations have confidence < 95.0%
Tukey’s Pairwise Comparison One-way ANOVA: TIME versus DEFECT  Tukey 95% Simultaneous Confidence Intervals All Pairwise Comparisons among Levels of DEFECT Individual confidence level = 98.87% DEFECT = D subtracted from: DEFECT  Lower  Center  Upper  --------+---------+---------+---------+- I  -61.47  -3.75  53.97  (----------*-----------) N  -66.23  -36.96  -7.70  (-----*----) Q  -76.47  -18.75  38.97  (----------*-----------) --------+---------+---------+---------+- -50  0  50  100 DEFECT = I subtracted from: DEFECT  Lower  Center  Upper  --------+---------+---------+---------+- N  -86.65  -33.21  20.22  (---------*----------) Q  -88.01  -15.00  58.01  (--------------*--------------) --------+---------+---------+---------+- -50  0  50  100 DEFECT = N subtracted from: DEFECT  Lower  Center  Upper  --------+---------+---------+---------+- Q  -35.22  18.21  71.65  (----------*---------) --------+---------+---------+---------+- -50  0  50  100 Statistically significant factors are in RED legend I= issued already N= no defects Q= need QAQC D=deadlined Deadlined tanks are statistically significantly different in terms of time and defects Tanks with no defects are statistically significantly different in terms of time and defects
Current Process Capability ,[object Object],[object Object],[object Object],[object Object]
One-Way ANOVA Boxplot ,[object Object],[object Object],[object Object]
A Different View ,[object Object],[object Object],[object Object],[object Object]
DELETE ME after tollgate review N= no defect  D= deadlined Q=need qa/qc I=issued already ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Data used in minitab to get calculations, I later changed the D,Q, & I variables into Defects to create different comparisons of defects vs no defects
Impact of Root Causes on Y
Prioritized Root Causes 1  In team’s Control = 9; In team’s sphere of influence = 3; Out of team’s control = 1 2  High impact = 9; Medium impact = 3; Low impact = 1 Effect (Y) Root Cause (X) Hypothesis for Relationship In/Out of Team’s Control 1 Impact 2 Score (Control x Impact) Priority of Effort rework In-accurate bumper numbers Accurate bumper numbers will increase throughput 3 9 27 2 Poor tank maintenance PMCS not completed correctly Correctly performed PMCS will improve tank draw quality 9 9 81 1 Poor tank maintenance  5988-E’s are not regularly updated Regularly update 5988-E’s will improve tank draw quality 3 9 27 3 rework Tanks are issued that are not ready for issue Rework will be reduced if the tanks are ready for issue at the time they are to be issued to units 3 3 9 4
Analyze Summary Impact of Root Causes:  Hypothesis Tests Tools Used Reducing List of Root Causes Prioritized Root Causes / Effects ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Lessons Learned ,[object Object],[object Object],[object Object],[object Object],[object Object]
Barriers/Issues/Project Action Log ,[object Object],[object Object],[object Object],[object Object],[object Object],Lean Six Sigma Project Action Log         Last Revised: 10/15/2007   No Description/ Recommendation Status  Open/Closed/Hold Due Date Revised Due Date Resp. Comments / Resolution 1 Leave of critical team member     14 May   4 May     2           3           4           5          
Next Steps ,[object Object],[object Object],[object Object]
Analyze Storyboard Define Project Charter T-6  IPR T2T RATSS T-5 T2T T-4 T2T T-3 T2T T-2 IPR  vehicle Bumper #s Given to unit T-1 Tank draw, HETT, 5988-E update Measure BII draw measured Tank draw measured 5988-E updates measured RIE Baselines  collected Critical X’s Identified Potential Root Causes Identified Root Causes Prioritized Analyze Problem: Poor tank quality at issue Goal: Improve tank quality at issue,  Reduce rework, improve fault tracking Non-quantifiable Benefits Morale, tank maintenance, fault tracking
Sign Off ,[object Object],[object Object],CW4 David Lucy Resource Manager/Finance COL Leopoldo Quintas  Deployment Director  SFC Don H. Henry II  Black Belt Nathan Sprague Master Black Belt MAJ Andre L. Mackey  Sponsor / Process Owner
Analyze  Tollgate Checklist ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Has the team identified the key  factors (critical X’s) that have the biggest impact on process performance?  Have they validated the root causes? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Tollgate Review Stop
 

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Improve Tank Draw Quality by Reducing Rework

  • 1. Lean Six Sigma Improving FTX/STX2 Tank Draw Quality SFC Henry, Don H. II Project Initiation Date: 31/03/08 Analyze Tollgate Date: 03/07/08
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  • 7. Critical X’s: Cause and Effect Matrix Cause and Effect Matrix Key Process Output Variables Customer Importance 10 9 2 6 8                     Customer Rank 1 2 3 4 5                     1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Process Step KPIV accurate tank list 5988-E QA/QC DA Form 2062 Dispatch                     Rank Rating Total Process Steps & Key Process Input Variables 1 T-1 RATSS 1 9 9 9 1                     2 7.533 171 2 PMCS Technical Manual 9 1 1 9 9                     1 10 227 3 QA/QC UMA inspector 9 1 1 3 3                     3 6.3 143 4 tank sign over DA 2062 9 1 1 1 3                     4 5.771 131 5 tank dispatch 5987-E 9 1 1 1 1                     5 5.066 115 ###                                     #####  
  • 8. Potential Root Causes: C & E Diagram Effect: The tank draw takes too long. Man Machine Material Method Spread thinly across multiple tasks Shortage of UMA maintenance personnel Deadlines, AOAP, Service Schedule, affect # of tanks available Tanks already in use by other units/missions BII draw uses excessive people and excess time RATTS request is not referenced by UMA to assign accurate bumper number list Tanks are PMCS’d Tanks are QA/QC’d Tanks are dispatched Excessive delays from lack of UMA personnel 5988-E not updated by UMA
  • 9. Potential Root Causes: FMEA Process Step / Input Potential Failure Mode Potential Failure Effects SEVERITY Potential Causes OCCURRENCE Current Controls DETECTION RPN   What is the process step and Input under investiga-tion? In what ways does the Key Input go wrong? What is the impact on the Key Output Variables (Customer Requirements)? What causes the Key Input to go wrong? What are the existing controls and procedures (inspection and test) that prevent either the cause or the Failure Mode? T-1 bumper number list not accurate excessive delays 7 lack of organization 7 none 7 343 PMCS not updated rework 7 lack of personnel 6 Army Policy 5 210 QA/QC not timely rework 4 lack of maintenance 4 EXSOP/Army policy 4 64 tank sign over already issued rework 7 lack of organization 2 Army Policy/EXSOP 2 28 tank dispatch does not go wrong no problems 1 no problems 1 EXSOP 5 5
  • 10. Reducing List of Root Causes: Pareto Analysis Track able causes contained over 90% of the Defects. Our project will focus on tracking vehicle maintenance status.
  • 11. Root Cause Analysis: Non-Value Add Analysis QAQC Maintenance leader Dispatch Soldier Issues bumper number list to soldier Maintenance leader checks 5988-E and verifies faults/makes repairs if needed Hand receipt Vehicle signed over to soldier Avg. Delay 2 hours Avg.Delay 15 min Avg. Delay 90 min Soldier conducts PMCS and completes 5988-E, turns it in to maintenance leader Passes QAQC Receives signed QAQC sheet Vehicle dispatched to soldier YES NO NVA time is in dark blue Total delay time is 3.75 hours Retrieves info from RATSS system Notify UMA of the # of tanks needed
  • 12. Root Cause Analysis: Histogram The outlier was a vehicle issued that was actually NMC and required 90 minutes to repair. The vehicle that required 60 minutes was actually dispatched to another unit. Two of the five that required 45 minutes of work were deadline with a third needing a QAQC from UMA 5.25 hours were spent doing rework that is non value added
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  • 16. Tukey’s Pairwise Comparison One-way ANOVA: TIME versus DEFECT Tukey 95% Simultaneous Confidence Intervals All Pairwise Comparisons among Levels of DEFECT Individual confidence level = 98.87% DEFECT = D subtracted from: DEFECT Lower Center Upper --------+---------+---------+---------+- I -61.47 -3.75 53.97 (----------*-----------) N -66.23 -36.96 -7.70 (-----*----) Q -76.47 -18.75 38.97 (----------*-----------) --------+---------+---------+---------+- -50 0 50 100 DEFECT = I subtracted from: DEFECT Lower Center Upper --------+---------+---------+---------+- N -86.65 -33.21 20.22 (---------*----------) Q -88.01 -15.00 58.01 (--------------*--------------) --------+---------+---------+---------+- -50 0 50 100 DEFECT = N subtracted from: DEFECT Lower Center Upper --------+---------+---------+---------+- Q -35.22 18.21 71.65 (----------*---------) --------+---------+---------+---------+- -50 0 50 100 Statistically significant factors are in RED legend I= issued already N= no defects Q= need QAQC D=deadlined Deadlined tanks are statistically significantly different in terms of time and defects Tanks with no defects are statistically significantly different in terms of time and defects
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  • 21. Impact of Root Causes on Y
  • 22. Prioritized Root Causes 1 In team’s Control = 9; In team’s sphere of influence = 3; Out of team’s control = 1 2 High impact = 9; Medium impact = 3; Low impact = 1 Effect (Y) Root Cause (X) Hypothesis for Relationship In/Out of Team’s Control 1 Impact 2 Score (Control x Impact) Priority of Effort rework In-accurate bumper numbers Accurate bumper numbers will increase throughput 3 9 27 2 Poor tank maintenance PMCS not completed correctly Correctly performed PMCS will improve tank draw quality 9 9 81 1 Poor tank maintenance 5988-E’s are not regularly updated Regularly update 5988-E’s will improve tank draw quality 3 9 27 3 rework Tanks are issued that are not ready for issue Rework will be reduced if the tanks are ready for issue at the time they are to be issued to units 3 3 9 4
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  • 27. Analyze Storyboard Define Project Charter T-6 IPR T2T RATSS T-5 T2T T-4 T2T T-3 T2T T-2 IPR vehicle Bumper #s Given to unit T-1 Tank draw, HETT, 5988-E update Measure BII draw measured Tank draw measured 5988-E updates measured RIE Baselines collected Critical X’s Identified Potential Root Causes Identified Root Causes Prioritized Analyze Problem: Poor tank quality at issue Goal: Improve tank quality at issue, Reduce rework, improve fault tracking Non-quantifiable Benefits Morale, tank maintenance, fault tracking
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Editor's Notes

  1. Expectations from the Measure Phase A detailed process map has been developed by the team and reflects key customer requirements and process variables. Key input, process and output metrics have been identified for data collection (potential Critical X’s) The relationship between process inputs and customer requirements has been investigated to provide a direction for the Analysis Phase. Special cause variation is reduced/removed providing an accurate picture of the process. A measurement system is in place and it’s error is understood. Baseline capability has been established and a path forward has been identified. A detailed project plan for the next phase exists, is realistic and reflects a more accurate financial impact statement. Who Should Attend Green Belt or Black Belt Required Project Leader Required Project Sponsor Required Process Owner Required (if not = Project Sponsor) Project Team Nice to have; Required for M, A, I, and C Stakeholders Required/Strongly Recommended Deployment Director Recommended Senior Management As possible or at DD request Master Black Belt Strongly Recommended (if available to attend)