NG BB 38 ANALYZE Tollgate

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NG BB 38 ANALYZE Tollgate

  1. 1. UNCLASSIFIED / FOUO Black Belt Analyze Tollgate Briefing Project Name DEPMS Project Number Name of Belt Organization Date UNCLASSIFIED / FOUO
  2. 2. UNCLASSIFIED / FOUO Tollgate Requirements - Analyze NG CPI BLACK BELT TOLLGATE REQUIREMENTS PROJECT DELIVERABLES NGB COMMENTS ANALYZE Root Cause Validation / Identification Mandatory Required for all projects Cause & Effect Analysis (Fishbone) Mandatory Identify all potential Xs Cause & Effect (XY) Matrix Mandatory Determine critical Xs Failure Modes & Effects Analysis Mandatory Analyze risk Hypothesis Testing / Regression/ ANOVA Optional Varies by project Process Constraint ID Optional Varies by project Takt Rate / Time Study Optional Varies by project Pareto Charts Optional Varies by project Sampling Plan / Analysis Optional Varies by project Storyboard / A3 Mandatory 1-page proj summary Barriers/Issues/Risks Mandatory Quick Wins Recommended Lessons Learned Optional 2 UNCLASSIFIED / FOUO
  3. 3. UNCLASSIFIED / FOUO Analyze Tollgate Templates NOTE: THIS IS A TEMPLATE FOR ALL NG CPI BELTS NG has developed this template as a basic format with standard deliverables to help guide NG CPI belts through the NG tollgate requirements for certification. It is recognized that each project is unique and has unique deliverables with unique flows. Therefore, this format does not have to be followed exactly to the letter of the law for your project. (DELETE THIS SLIDE FOR YOUR PROJECT) 3 UNCLASSIFIED / FOUO
  4. 4. UNCLASSIFIED / FOUO Define Charter and Timeline Team Members Name Role Affiliation DACI Black Belt Driver Master Black Belt Driver Take away Project Sponsor Approver message goes Process Owner Approver here Project Charter (impact ofProblem problem)Statement:Business Case: Project TimelineGoal Statement: Phase Start Stop StatusUnit: Define mm/dd/yy mm/dd/yyDefect: Measure mm/dd/yy mm/dd/yyCustomer Analyze mm/dd/yy mm/dd/yySpecifications: Improve mm/dd/yy mm/dd/yyProcess Start: Control mm/dd/yy mm/dd/yyProcess Stop: 4Scope: Required Deliverable UNCLASSIFIED / FOUO
  5. 5. UNCLASSIFIED / FOUOMeasure Overview Baseline Statistics Process Capability Process Capability of Delivery Time P otential (Within) C apability  VOC / VOB LSL Target USL Cp C PL 1.16 2.22  Unit (d) or Mean (c) W ithin C PU C pk 0.10 0.10 O v erall C C pk 1.16  Defect (d) or St. Dev. (c) O v erall C apability Pp 1.24  DPMO (d) PPL 2.37 PPU 0.11   PCE: (Cycle Time Only) PLT: (Cycle Time Only) - Example - LS L P pk C pm 0.11 0.35 P rocess D ata 10 T arget 20 USL 30 S ample M ean 29.1203  Sigma Quality Level S ample N S tD ev (Within) 266 2.87033 S tD ev (O v erall) 2.69154 12 16 20 24 28 32 36  MSA Results: show the percentage result of the GR&R or other O bserv ed P erformance E xp. Within P erformance E xp. O v erall P erformance P P M < LS L 0.00 measurement systems analysis carried out in the project P P M < LS L 0.00 PPM < LS L 0.00 PPM > USL 281954.89 PPM > USL 379619.67 PPM > USL 371895.18 P P M T otal 281954.89 PPM T otal 379619.67 P P M T otal 371895.18 Baseline “As Is” Performance Tools Used Summary for Delivery Time A nderson-D arling N ormality Test  Detailed process mapping  Time Series Plot A -S quared 1.95 P -V alue < M ean 0.005 29.128  Measurement Systems Analysis  Probability Plot S tD ev 2.677 V ariance S kew ness 7.169 0.201075  Value Stream Mapping  Pareto Analysis Kurtosis -0.471714 N M inimum 266 24.000  Data Collection Planning  Operational Definitions 5s 1st Q uartile 27.000  24 26 28 30 32 34 M edian 3rd Q uartile 29.000 31.000  Basic Statistics Generic Pull M aximum 35.000  95% C onfidence Interv al for M ean 28.805 29.451  Process Capability 95% C onfidence Interv al for M edian 29.000 29.000  Histograms  Control Charts 95% C onfidence Interv al for S tD ev 9 5 % C onfidence Inter v als 2.468 2.927 Mean 5 Median 28.8 28.9 29.0 29.1 29.2 29.3 29.4 Required Deliverable UNCLASSIFIED / FOUO
  6. 6. UNCLASSIFIED / FOUOProcess Constraint ID Analysis Takt Rate Analysis compares the task time of each process (or process step) to other steps and customer demand to determine if the time trap is the constraint Takt Time = Net Process Time Available Takt Rate = Customer Demand Rate = Number of Units to Process Number of Units to Process Net Process Time Available Value Add Analysis - Current State Takt Tim e = 55 80 Task Time (seconds) 70 60 50 40 30 20 10 0 1 2 3 4 5 6 7 8 9 10 Task # - Example - CVA Time NVA-R Time NVA Time 6 BB Optional Deliverable UNCLASSIFIED / FOUO
  7. 7. UNCLASSIFIED / FOUOPareto Plot Analysis Pareto Chart 100 150 80 - Example - Percent 100 60 Count 40 50 20 0 0 ut h r th t e rs So No Ea s Oth Defect Count 100 50 15 6 Percent 58.5 29.2 8.8 3.5 Cum % 58.5 87.7 96.5 100.0 The South and North contain over 80% of the defects. Our project will focus here and not on the East and West. 7 Optional Deliverable UNCLASSIFIED / FOUO
  8. 8. UNCLASSIFIED / FOUOCause & Effect Diagram (Fishbone) Materials Manpower Facilities & Equipment Wrong Location SpaceLack of Seats No Standardization of seats Lack of Knowledge Old Buildings Inequality in seats New CodesLack of Funds Lack of Controls Not Suited for “Dedicated” to Task Senior Leader Current Mission (Type of Space) No Suitable space to Assign Getting Seats Takes Time (Y) Effect: Vague Reqmts Lack of Database PLT = 5 days People Unplanned Programs Multiple Paths Facilities (too long) Location (Competing for Same Space) Lack of Controls Senior Leadership - Example -Delays in elevating Too Long (Time) CollocationImpasse issues Mold, HVAC Crashes Approvals Methods Mother Nature Measurements CAO/IPT Time Avail to Unforeseen Funding Decision Wait Circumstances Competency vs. PMA 8 Required Deliverable UNCLASSIFIED / FOUO
  9. 9. UNCLASSIFIED / FOUOXY Matrix (Root Cause Analysis) Ra ting of Importa nce to Custome r 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Requirement Requirement Requirement Requirement Requirement Requirement Requirement Requirement Requirement Requirement Requirement Requirement Requirement Requirement Requirement Total Proce ss Ste p Proce ss Input 1 0 2 0 3 0 4 0 5 0 6 0 7 0 8 0 9 0 10 0 11 0 12 0 13 0 14 0 15 0 16 0 17 0 18 0 19 0 20 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Total Lower Spec Target Upper Spec This table prov ides the initial input to the FMEA. W hen each of the output variables (requirements) are not correct, that represents potential "EFFECTS". W hen each input variable is not correct, that represents "Failure Modes". 1. List the Key Process Output Variables 2. Rate each v ariable on a 1-to-10 scale to importantance to the customer 3. List Key Process Input Variables 4. Rate each v ariables relationship to each output variable on a 1-to-10 scale 5. Select the top input variables to start the FMEA process; Determine how each selected input varable can "go wrong" and place that in the Failure Mode column of the FMEA. 9 Required DeliverableUNCLASSIFIED / FOUO
  10. 10. UNCLASSIFIED / FOUOFailure Mode Effects Analysis (FMEA) Process/Product Failure Modes and Effects Analysis Form (FMEA) Pag Process or Prepared by: e Product Name: ____ Responsible: FMEA Date (Orig) ______________ (Rev) _____________ O Process Potential Failure Potential Failure D S Potential Causes C Current Controls Step / Input Mode Effects E E C T What is the In what ways does What is the impact V What causes the Key U What are the existing E process the Key Input go on the Key Output E Input to go wrong? R controls and procedures RP C step and wrong? Variables (Customer R R (inspection and test) that N T Input under Requirements)? I E prevent either the cause I investiga- T N or the Failure Mode? O tion? Y C N E 0 0 0 Required Deliverable 0 0 0 0 0 0 10 UNCLASSIFIED / FOUO 0
  11. 11. UNCLASSIFIED / FOUOHypothesis Test Summary Hypothesis Test Factor (x) (ANOVA, 1 or 2 sample t - test, Chi Squared, p Value Observations/Conclusion Regression, Test of Equal Variance, etc) Tested Significant factor - 1 hour driving time from DC Example: ANOVA Location 0.030 to Baltimore office causes ticket cycle time to generally be longer for the Baltimore site Significant factor - on average, calls requiring Example: ANOVA Part vs. No Part 0.004 parts have double the cycle time (22 vs 43 hours) Significant factor - Department 4 has digitized Example: Chi Squared Department 0.000 addition of customer info to ticket and less human intervention, resulting in fewer errors South region accounted for 59% of the defects Example: Pareto Region n/a due to their manual process and distance from the parts warehouse - Example - Optional BB Deliverable Describe any other observations about the root cause (x) data 11 UNCLASSIFIED / FOUO
  12. 12. UNCLASSIFIED / FOUO One-Way ANOVA: Root Cause Verification Boxplots of Net Hour by Part/No (means are indicated by solid circles) After further investigation, possible 150 Boxplot: Part/ No Part Impact on Ticket Cycle Time reasons proposed by the team are OEM backorders, lack of technician - Example - Net Hours Call Open certifications and the distance from the OEM to the client site. It is also 100 caused by the need for technicians to make a second visit to the end user to complete the part replacement. 50 Next step will be for the team to confirm these suspected root causes. 0 Part/No Part Part No Part Analysis of Variance for Net Hour  Because the p-value <= Source DF SS MS F P Part/No 1 7421 7421 8.65 0.004 0.05, we can be confident Error 69 59194 858 that calls requiring parts Total 70 66615 do have an impact on the Individual 95% CIs For Mean Level N Mean StDev --+---------+---------+---------+---- ticket cycle time. No Part 27 21.99 19.95 (--------*---------) Part 44 43.05 33.70 (------*------) --+---------+---------+---------+---- Pooled StDev = 29.29 12 24 36 48 12 Optional BB Deliverable UNCLASSIFIED / FOUO
  13. 13. UNCLASSIFIED / FOUO Linear Regression 95% confident that 94.1% of the variation in “Wait Time” is from the “Qty of Deliveries” Fitted Line Plot Wait Time = 32.05 + 0.5825 Deliveries 55 S 1.11885 R-Sq 94.1% R-Sq(adj) 93.9% 50 Wait Time 45 40 - Example - 35 10 15 20 25 30 35 Deliveries 13 Optional BB Deliverable UNCLASSIFIED / FOUO
  14. 14. UNCLASSIFIED / FOUO Project Barriers/Issues/Risks  Barriers  Issues  Risks Required Deliverable 14 UNCLASSIFIED / FOUO
  15. 15. UNCLASSIFIED / FOUO DMAIC Analyze Storyboard Define 1.2 Day Project Charter CCR Gap Sigma Performanc BUS CASE: Be #2 Fin Service Provider e Level of 1.3 GOAL: Reduce Loan/Lease CT from 9.2 to 8.0 days by July 1 Measure FIN IMPACT: $2.7M per year Analyze - Example -Officer Work & Turnover, Waiting, & Automation Affect CT; Job Aids affect Variation in CT Required Deliverable 15 UNCLASSIFIED / FOUO
  16. 16. UNCLASSIFIED / FOUO 8-Step A3 Project Summary Report Company: Department: Date: Prepared by: 1. Define the problem situation 3. Action plans to correct problems 2. Problem Analysis 4. Results of Activity 5. Future Steps 16 UNCLASSIFIED / FOUO
  17. 17. UNCLASSIFIED / FOUO NG CPI Tollgate Tool 8-STEP PROCESS 1. Validate 2. Identify 3. Set 4. Find Root 5. Develop 6. See C-Ms 7. Confirm 8. Standardize Problem Gaps Targets Cause C-Ms Through Results Define Measure Analyze Improve Control  Project Charter • Problem Stmt Detailed As Is Process  Potential Xs  “To Be” Process Map  Process Control Plan • Defect Definition Map • Brainstorming • 5 Whys  Solution Generation /  Process Owner • Goal Statement  Value Stream Map • Fishbone Prioritization Accountability • Project Scope Affinity Diagram  Key Process Metrics • • Business Impact • Strat Alignment  Data Collection Plan  Critical Xs  Improvement Strategy  Updated Financial  Measure Systems • Cause & Effect Matrix • Improvement Model Benefits  Sponsor & Team • Hypothesis Testing • Implementation Plan Analysis • Pilot • Regression Replication Opportunities  Replication Check  Data Collected • “X” Improvement Target • Time Studies  Measurable Y  Baseline Data Analysis • Theory of Constraints  Mistake Proofing  Project Documentation  Voice of Customer • Descriptive Stats of revised policies,  FMEA SOP’s, procedures, and  Customer Specs • Graphs • Risk Analysis • Pareto Charts training  Voice of Business • Risk Mitigation Plan  Project Timeline  Est Financial Benefits  FMEA  Visual Process Control • Risk Analysis Tools (Optional)  Communication Plan  Control Charts (as • Risk Mitigation Plan • Stakeholder Analysis needed) High Level Process  Process Capability  Control Charts Map (SIPOC)  Process Capability I accept the Define I accept the Measure I accept the Analyze I accept the Improve I accept the Control Tollgate Tollgate Tollgate Tollgate Tollgate (Sponsor) (Sponsor) (Sponsor) (Sponsor) (Sponsor) (Process Owner) (Process Owner) (Process Owner) (Process Owner) (Process Owner) (MBB) (MBB) (MBB) (MBB) (MBB) (Finance Owner) (Finance Owner) 17 UNCLASSIFIED / FOUO
  18. 18. UNCLASSIFIED / FOUO Appendix 18 UNCLASSIFIED / FOUO
  19. 19. UNCLASSIFIED / FOUO Cross Functional Team Team Members Name Role Affiliation DACI Black Belt Driver Master Black Belt Driver Project Sponsor Approver Process Owner Approver Contributor Contributor Contributor Contributor Inform Inform Inform Inform 19 Required Deliverable UNCLASSIFIED / FOUO
  20. 20. UNCLASSIFIED / FOUO Replication Check I confirm that:  DEPMS (DoD Enterprise Performance Management System) has been searched for similar projects: Yes / No  Replication: List relevant initiatives / potential replication projects found (if any): • Project 1: (DEPMS # or other tracking tool project number) • Project 2:  Collaboration: Identify organizations that can/should be considered for working this project collaboratively: • Organization 1: • Organization 2: 20 Required Deliverable UNCLASSIFIED / FOUO
  21. 21. UNCLASSIFIED / FOUO Strategic Alignment The Define Tollgate requires a linkage to organizational strategy.  Include an organizational metric/metrics for which your project will help improve  Refer to your organization’s Strategic Plan and/or other referenced documents 21 Required Deliverable UNCLASSIFIED / FOUO
  22. 22. UNCLASSIFIED / FOUO Business Impact  Insert as much information as possible about the potential operational and/or financial benefits  Include any assumptions upon which these estimates are based Example: Operational benefits – This project is expected to reduce PLT by 35%, improve SQL from 1.2 to 3.0, save 20 man hours per shift Example: Financial benefits – This project is expected to save $xx in FYxx 22 Required Deliverable UNCLASSIFIED / FOUO
  23. 23. UNCLASSIFIED / FOUOHigh-Level Process Map (SIPOC) Suppliers Inputs Process Outputs Customers Measurable Y: 23 Required Deliverable UNCLASSIFIED / FOUO
  24. 24. UNCLASSIFIED / FOUO Voice of Customer / Voice of Business Critical Customer Voice of the Key Customer Issue(s) Requirement Customer / What does the customer want from us? What does the customer want from us? We should summarize key issues and We need to identify the issue(s) that translate them into specific and measurable prevent us from satisfying our requirements customers. CriticalBusiness Voice of the Key Process Issue(s) Requirement Business What does the business want/need from us? What does the business want/need from We should summarize key issues and us? We need to identify the issue(s) translate them into specific and measurable that prevent us from meeting strategic requirements goals/missions. 24 Required Deliverable UNCLASSIFIED / FOUO
  25. 25. UNCLASSIFIED / FOUO Stakeholder Analysis Stakeholder Explanation of Stakeholder’s Stakeholder Project Impact Level of Current Action Plan Stakeholder Current Attitude Score On Stakeholder Influence on Stakeholder For Name/Group Toward Project (H=3, M=2, L=1, (H, M, L) Success of Attitude Stakeholder ( +, 0, - ) +=3, 0=1, -=-3) Project (H,M,L) (list) Recommended Deliverable 25 UNCLASSIFIED / FOUO
  26. 26. UNCLASSIFIED / FOUO Communication Plan Topics of Audience Media Purpose Discussion/ Owner Frequency Notes/Status Key Messages 26 Required Deliverable UNCLASSIFIED / FOUO
  27. 27. UNCLASSIFIED / FOUODetailed “As Is” Process Map - Example - Required Deliverable - VSM or Process Map or Both 27 UNCLASSIFIED / FOUO
  28. 28. UNCLASSIFIED / FOUO Value Stream Map Order Mgmt Supervisor Service lead time = 384 min CUSTOMER Weekly Update - Example - Customer call time = 24 min Phone Call Phone Call Trigger: Order Mgmt Completion Criteria: Cycle Time: Screen for Acct Mgr Takt Time: Number of People: Manual Update SUPPLIERS P/T = 3 min Number of Approvals: Items in Inbox: Lost calls=10% % Rework: # of Iterations (cycles): Volume=1200 # of Databases: Top 3 Rework Issues: 1. 2. 3. Large Business 6 Customers Order Mgmt Order Mgmt Order Mgmt Order Mgmt DIST Customer Product Shipping Pick Info Need Pricing Info Small 4 4 4 4 10 Pack & Ship Business 20 Orders 5 Customers P/T = 2 min P/T = 6 Min P/T = 6 Min P/T = 2 Min P/T = 120 Min Error Rate=2% Error Rate=0% Error Rate=2% Error Rate=1% Error Rate=1% Volume=800 Volume=1200 Home Volume=800 Volume=800 Volume=800 3 Customers 5 min 240 min 3 min 2 min 6 min 6 min 2 min 120 min Required Deliverable - VSM or Process Map or Both 28 UNCLASSIFIED / FOUO
  29. 29. UNCLASSIFIED / FOUOKey Input, Process, and Output Metrics Suppliers Inputs Process Outputs Customer Start Step 2 Step 3 Step1 Step 5 Step 4 VOC/ Input Metrics Process Metrics Output Metrics VOB Quality Speed Cost Required Deliverable 29 UNCLASSIFIED / FOUO
  30. 30. UNCLASSIFIED / FOUOOperational Definitions Define each of the Key Input, Output, Process Metrics from your SIPOC that you are going to collect data on (via the Data Collection Plan) as well as any other terms that need clarification for the data collectors and everyone else on the team. Examples:  Award Process PLT: The time from when a Director submits the Award recommendation to the time when the employee is presented the Award in a ceremony.  Number of Claims Processed: The number of Claims processed per weekday (M-F).  Total Hours Worked: The total number of hours worked in the facility including weekends and holidays.  Number of Personnel: The total number of military and civilian personnel working (not including contractors). Include other unique terms that apply to your project that require clear operational definitions for those collecting the data and for those interpreting the data. Required 30 UNCLASSIFIED / FOUO
  31. 31. UNCLASSIFIED / FOUO Data Collection Plan Performanc Operational Data How Will Data Be Who Will When Will Sampl Stratificati How will e Measure Definition Source and Collected Collect Data Be e Size on Factors data be Location Data Collected used? 1 Ability to update X – Steps to In DEPMS By counting steps Name ASAP 1 None To find VA, BNVA, projects and update projects NVA build tollgate reviews - Example - 2 Ability to update X – Tollgate In DEPMS By determining % of Name ASAP 40 None To determine projects and template slides activity steps identified in consistency with build tollgate that match POI “Introduction to _____” POI reviews modules in POI that are adequately addressed in templates 3 Easy Access to X – Availability of In DEPMS By determining the Name ASAP 63 None To determine LSS tools and LSS tools and percentage of tools, with availability of tools references references their references, listed on and references DMAIC Road Map slides that can be found in PS 4 Easy Access to X – Steps In DEPMS By counting # steps Name ASAP 37 None To find VA, BNVA, LSS tools and required to find required to find the tools NVA references tools and and their references references 31 Required Deliverable UNCLASSIFIED / FOUO
  32. 32. UNCLASSIFIED / FOUOMeasurement Systems Analysis The Measurement System used to collect data has been calibrated and is considered to have no potential for significant errors. The data collection tool is reliable, can be counted on, has good resolution, shows no signs of bias and is stable. Type of Measurement Description Considerations to this Project Error The ability of the measurement Work hours can be measured to <.25 Discrimination system to divide measurements into hours. Radar usage measure to +- 2 (resolution) “data categories” minute. The difference between an observed No bias - Work hours and radar start- Bias average measurement result and a stop times consistent through reference value population. No bias of work hours and radar Stability The change in bias over time usage data. Not an issue. Labor and radar usage Repeatability The extent variability is consistent is historical and felt to be accurate enough for insight and analysis. - Example - Remarks in usage data deemed not Different appraisers produce reproducible, therefore were not Reproducibility consistent results considered in determining which radars were used in each op 32 Variation The difference between parts Required Deliverable process. N/a to this UNCLASSIFIED / FOUO
  33. 33. UNCLASSIFIED / FOUO Reported by : Gage name: Tolerance:Measurement Systems Analysis Date of study : Misc: Gage R&R (ANOVA) for Response Gage R&R Components of Variation Response by Part %Contribution Source VarComp (of VarComp) 100 % Contribution % Study Var 10.00 Total Gage R&R 0.0015896 3.70 Percent Repeatability 0.0005567 1.29 9.75 Reproducibility 0.0010330 2.40 50 Operator 0.0003418 0.79 9.50 Operator*Part 0.0006912 1.61 0 Part-To-Part 0.0414247 96.30 Gage R&R Repeat Reprod Part-to-Part 1 2 3 4 5 6 7 8 9 10 Total Variation 0.0430143 100.00 Part R Chart by Operator Study Var %Study Var Response by Operator 1 2 3 Source StdDev (SD) (6 * SD) (%SV) UCL=0.1073 0.10 10.00 Total Gage R&R 0.039870 0.23922 19.22 Sample Range Repeatability 0.023594 0.14156 11.38 Reproducibility 0.032140 0.19284 15.50 _ 9.75 0.05 Operator 0.018488 0.11093 8.91 R=0.0417 Operator*Part 0.026290 0.15774 12.68 9.50 Part-To-Part 0.203531 1.22118 98.13 0.00 LCL=0 1 2 3 Total Variation 0.207399 1.24439 100.00 Operator Xbar Chart by Operator Number of Distinct Categories = 7 1 2 3 Operator * Part Interaction 10.00 10.00 Operator Sample Mean UCL=9.8422 _ 1 The Measurement _ Average 2 X=9.7996 9.75 9.75 LCL=9.7569 3 System is acceptable 9.50 with the Total Gage 9.50 1 2 3 4 5 6 7 8 9 10 R&R % Contribution Part <10% - Example - 33 Optional BB Deliverable UNCLASSIFIED / FOUO
  34. 34. UNCLASSIFIED / FOUO “As Is” Baseline Statistics Summary for Workdays A nderson-Darling N ormality Test A -S quared 12.65 P -V alue < 0.005 M ean 44.814 S tDev 61.251 - Example - V ariance S kew ness 3751.674 2.87329 Kurtosis 9.54577 N 118 M inimum 1.000  The current process has a non-normal 1st Q uartile 12.000 M edian 22.000 3rd Q uartile 52.000 0 60 120 180 240 300 360 M aximum 365.000 distribution with the 95% C onfidence Interv al for M ean 33.647 55.981 P-Value < 0.05 95% C onfidence Interv al for M edian 17.000 29.123 95% C onfidence Interv al for S tDev  Mean = 44 days 9 5 % C onfidence Inter vals 54.308 70.246 Mean  Median = 22 days Median 20 30 40 50 60  Std Dev = 61 days  Range = 365 days Required Deliverable 34 UNCLASSIFIED / FOUO
  35. 35. UNCLASSIFIED / FOUO Process Control Chart I-MR Chart of Delivery Time The current baseline 40 delivery time is stable UC L=37.70 over time with both Indiv idual V alue 35 the Moving Range 30 _ X=29.13 (3.22 days) and 25 Individual Average LC L=20.56 (29.13 days) 20 1 28 55 82 109 136 163 190 217 244 experiencing common Observation cause variation 10.0 UC L=10.53 255 data points M ov ing Range 7.5 collected with zero 5.0 subgroups, thus the __ MR=3.22 2.5 I&MR control chart 0.0 LC L=0 selected 1 28 55 82 109 136 163 190 217 244 Observation - Example - Required As Applicable 35 UNCLASSIFIED / FOUO
  36. 36. UNCLASSIFIED / FOUO Process Capability Process Capability of Workdays  118 data points collected Calculations Based on Lognormal Distribution Model  Non-normal distribution LSL USL  Mean = 44 days LS L P rocess Data 0 O v erall C apability Z.Bench -0.31 Target * Z.LS L 3.07  Lower Cust Spec = 0 days USL 15 Z.U S L -0.02  Upper Cust Spec = 15 days S ample M ean 44.8136 S ample N 118 - Example - P pk -0.01 E xp. O v erall P erformance Location 3.09501 % < LS L 0.00 S cale 1.26378  65% of observations % > U S L 62.03 O bserv ed P erformance % Total 62.03 outside customer spec % < LS L 0.00 % > U S L 65.25  Z Bench = -.31 % Total 65.25 0 60 120 180 240 300 360 420 Required Deliverable 36 UNCLASSIFIED / FOUO

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