Lean Six Sigma Measure Phase Tollgate Review Lean Six Sigma DMAIC Tools and Activities Review Value Identify Validate Project Charter High-Level Value Stream Map and Scope Validate Voice of the Customer & Voice of the Business Validate Problem Statement and Goals Validate Financial Benefits Create Communication Plan Select and Launch Team Develop Project Schedule Complete Define Tollgate Identify Stream Map Flow Key Input, Process and Output Metrics Develop Operational Definitions Develop Data Collection Plan Validate Measurement System Collect Baseline Data Determine Process Capability Complete Measure Tollgate Reduce Define Measure Project Value Voice Process Charter of the Customer and Kano Analysis SIPOC Map Project Valuation/ROIC Analysis Tools RACI and Quad Charts Stakeholder Analysis Communication Plan Effective Meeting Tools Inquiry and Advocacy Skills Time Lines, Milestones, and Gantt Charting Pareto Analysis Stream Mapping Cycle Efficiency/Little’s Law Operational Definitions Data Collection Plan Statistical Sampling Measurement System Analysis (MSA) Gage R&R Kappa Studies Control Charts Spaghetti Diagrams Histograms Normality Test Process Capability Analysis Root Causes List of Potential Root Causes Confirm Root Cause to Output Relationship Estimate Impact of Root Causes on Key Outputs Prioritize Root Causes Value-Add Analysis Takt Rate Analysis Quick Wins Statistical Analysis Complete Analyze Tollgate Analyze Process Constraint ID and Takt Time Analysis Cause & Effect Analysis FMEA Hypothesis Tests/Conf. Intervals Simple & Multiple Regression ANOVA Components of Variation Conquering Product and Process Complexity Queuing Theory Develop Potential Solutions Select, and Optimize Best Solutions Develop ‘To-Be’ Value Stream Map(s) Develop and Implement Pilot Solution Implement 5s Program Develop Full Scale Implementation Plan Cost/Benefit Analysis Benchmarking Complete Improve Tollgate Evaluate, Develop SOP’s, Training Plan & Process Controls Implement Solution and Ongoing Process Measurements Confirm Attainment of Project Goals Identify Project Replication Opportunities Training Complete Control Tollgate Transition Project to Process Owner Improve Replenishment Pull/Kanban Stocking Strategy Process Flow Improvement Process Balancing Analytical Batch Sizing Total Productive Maintenance Design of Experiments (DOE) Solution Selection Matrix Piloting and Simulation Work Control System Setup reduction Pugh Matrix Pull System Control Mistake-Proofing/ Zero Defects Operating Procedures (SOP’s) Process Control Plans Visual Process Control Tools MGPP Statistical Process Controls (SPC) Solution Replication Visual Workplace Metrics Project Transition Model Team Feedback Session Standard Kaizen Events Targeted in Measure to Accelerate Results International Standards for Lean Six Sigma 2 Project Charter Financial Impact Problem/Goal Statement Problem: Describe problem in non-technical terms Statement should explain why project is important; why working on it is a priority Goal: Goals communicate “before” and “after” conditions Shift mean, variance, or both? Should impact cost, time, quality dimensions Express goals using SMART criteria Specific, Measurable, Attainable, Resource Requirements, Time Boundaries Explain leverage and strategic implications (if any) Team State financial impact of project Expenses Investments (inventory, capital, A/R) Revenues Separate “hard” from “soft” dollars State financial impact of leverage opportunities (future projects) Tollgate Review Schedule PES Name Project Executive Sponsor (if different from PS) PS Name Project Sponsor/Process Owner DC Name Deployment Champion GB/BB Name Green Belt/Black Belt MBB Name Master Black Belt Core Team Role % Contrib. LSS Training Team Member 1 SME XX YB Team Member 2 TM XX GB Team Member 3 SME XX PS Extended Team Team Member 1 BFM XX Not Trained Team Member 2 IT XX Not Trained Tollgate Scheduled Revised Define: XX/XX/XX Measure: XX/XX/XX XX/XX/XX Analyze: XX/XX/XX XX/XX/XX Improve: XX/XX/XX XX/XX/XX Control: XX/XX/XX XX/XX/XX Review high-level schedule milestones here: Phase Completions Tollgate Reviews Complete XX/XX/XX XX/XX/XX XX/XX/XX XX/XX/XX XX/XX/XX Enter Key Slide Take Away (Key Point) Here International Standards for Lean Six Sigma 3 Data Collection Plan Performance Measure Operational Definition Data Source and Location How Will Data Be Collected Who Will Collect Data When Will Data Be Collected Sample Size Stratification Factors How will data be used? VOC MSA Process VSM Financials Others For each performance measure (Y), update a data collection plan Include MSA measure plan (Gantt chart, MS project plan is Optional) Add Financial measure plan if separate from performance Y Add any Time Study or other data collection plans for Value Stream Map Sample Size Calculation Use additional slides if needed Enter Key Slide Take Away (Key Point) Here International Standards for Lean Six Sigma 4 Operational Definitions Y – Continuous data (Process start/stop and cycle time boundaries (such as the unit of measure (ex minutes), the unit (the thing you are measuring), will you include weekends, holidays, non-business hours?) Y – Discrete data (Define Success/Defect or other attribute values you will measure X – The subgroups values or X-factor groupings you will use on your project data collection Other unique terms that apply to your project that require clear operational definitions Use additional slides as needed to complete your operational definitions Enter Key Slide Take Away (Key Point) Here International Standards for Lean Six Sigma 5 MSA Conclusions The measurement systems are acceptable. The data is considered to have no potential for significant error. Need to be careful to appropriately use the data during the Analyze Phase. Type of Measurement Error Description Considerations to this Project Discrimination (resolution) The ability of the measurement system to divide into “data categories” Work hrs can be measured to <.25 hrs. Tool usage measure to +- 2 min. Bias The difference between an observed average measurement result and a reference value No bias - Work hours and radar start-stop times consistent through population. Stability The change in bias over time No bias of work hrs & radar usage data. Repeatability The extent variability is consistent Not an issue. Labor and radar usage is historical and felt to be accurate enough for insight and analysis. Reproducibility Different appraisers produce consistent results Remarks in usage data deemed not reproducible, not used in determining which radars were used in each op The difference between parts n/a to this process. Variation Enter Key Slide Take Away (Key Point) Here International Standards for Lean Six Sigma 6 Baseline Basic Statistics The current process has a non-normal distribution with the P-Value < 0.05 but does have a normal bell-shape. Since the mean and median are the same in days (29) +/- 0.5 days, we will not transform data. The range is 35 and the standard deviation is 2.7 days Summary for Delivery Time 34 32 30 28 26 24 A nderson-Darling Normality Test A -Squared P-V alue < 1.95 0.005 Mean StDev V ariance Skew ness Kurtosis N 29.128 2.677 7.169 0.201075 -0.471714 266 Minimum 1st Q uartile Median 3rd Q uartile Maximum 24.000 27.000 29.000 31.000 35.000 95% C onfidence Interv al for Mean 28.805 29.451 95% C onfidence Interv al for Median 29.000 29.000 95% C onfidence Interv al for StDev 9 5 % Confidence Intervals 2.468 2.927 Mean Median 28.8 28.9 29.0 29.1 29.2 29.3 29.4 Enter Key Slide Take Away (Key Point) Here International Standards for Lean Six Sigma 7 Baseline Process Capability 266 data points collected between 11/1/04 thru 11/30/04 P r o c e s s C a p a b i l i ty o f D e l i v e r y T i m e LS L T ar g et USL W ith in O v er all Mean 29 days, St. Dev. 2.9 days, CP is 1.16 indicating process needs centering to the LSL of 10 and USL of 30 days. Cpk is .1 indicating that the process is exceeding the USL. With an overall PPM of 371,895 defects per million opportunity, the current process has a Sigma Quality Level of 1.8 or a 62% yield P o te n tia l (W ith in ) C a p a b ility Cp 1.16 C PL 2.22 C PU 0.10 C pk 0.10 C C pk 1.16 O v e ra ll C a p a b ility Pp 1.24 PPL 2.37 PPU 0.11 P pk 0.11 C pm 0.35 P ro ce s s D a ta 12 16 20 O b s e rv e d P e rfo rm a n ce P P M < LS L 0.00 24 28 32 10 T a rg e t 20 USL 30 S a m p le M e a n 29.1203 S a m p le N 266 S tD e v (W ith in ) 2.87033 S tD e v (O v e ra ll) 2.69154 36 E xp . W ith in P e rfo rm a n ce P P M < LS L LS L 0.00 E xp . O v e ra ll P e rfo rm a n ce P P M < LS L 0.00 PPM > USL 281954.89 PPM > USL 379619.67 PPM > USL 371895.18 P P M T o ta l 281954.89 P P M T o ta l 379619.67 P P M T o ta l 371895.18 Enter Key Slide Take Away (Key Point) Here International Standards for Lean Six Sigma 8 Sigma Calculator: Continuous Data Worksheet For Calculating Process Sigma Continuous Data Long-Term 1. Label The Normal Curve With The Following: X value X+s value USL & Shade Area To The Right LSL & Shade Area To The Left n n Example: n n LSL = 8 s s USL = 22 Area 2 Xbar 15 S 2 USL 18 LSL 5 Sigma = 3 Sigma Area 1 10 x 18 x+s Example: The average processing time = 15 days (Xbar = 15) 2. Determine Area 1: Find Z1 USL – x s Z1 = = ( ) – ( ( ) = ) 1.5 702009 O ## Look up Z1 in Normal Table Norm Dist (Z1) = Normal Table Look Up for Z1 Area 1 = 1 – Look Up Area 1 =1– = 1 – Norm Dist (Z1) ( ) = 0.933193 = 0.066807 = -5 = 2.87E-07 = 2.87E-07 )= 0.066807 3. Skip this step if there is no LSL 2. Determine Area 2: LSL – x s ( ) – ( ) Find Z2 Z2 = Look up Z2 in Normal Table Norm Dist (Z2) = Normal Table Look Up for Z2 = ( ) Area 2 Area 2 = Look Up 4. Determine Total Area: Total Area = Area 1 + Area 2 = 5. Yield = 1 – Total Area Yield = 1 – Total Area = 1 – ( ( = x 100% 6. Process Sigma Comes From Table Look Up Of Yield SigmaST = Look Up Value in Sigma Table ) ) + ( Enter Values in Yellow Mean (Average) Standard Deviation Delete if no USL (Upper Specification Limit) Delete if no LSL (Lower Specification Limit) Sigma Quality Level = 0.933193 = 93.3193% = 3.00 The standard deviation was 2 days (s = 2) A unit processed longer than 18 days was too late to the customer (USL = 18) A unit processed faster than 5 days was too early to the customer (LSL = 5) Sigma Quality Level = 3 Enter Key Slide Take Away (Key Point) Here International Standards for Lean Six Sigma 9 Sigma Calculator: Discrete Data General Worksheet For Calculating Process Sigma 1 Number Of Units Processed 2 Total Number Of Defects Made (Include Defects Made And Later Fixed) 3 Number Of Defect Opportunities Per Unit 4 Solve For Defects Per Million Opportunities (DPMO) 5 Look Up Process Sigma In Abridged Sigma Conversion Table Enter Values Below in Yellow N= 200 100 D= 35 O= DPMO = #DIV/0! Sigma = #DIV/0! Example: 200 pairs of boots were supplied (N = 200) 35 shoelaces were found broken (D = 35) Each shoe had 1 lace and there were 2 shoes per pair (O = 2) Enter Key Slide Take Away (Key Point) Here International Standards for Lean Six Sigma 10 Quick Win Documentation Template Process Name: __________________ Process Lead: ___________________ Process Owner: ______________________ Start Date: ______________ Process Area: ________________________ Stop Date: ______________ 1. 2. 3. 4. 5. 6. Root Cause: _________________________________________________ Obvious Solution: __________________________________________ Low or No Cost: __________________________________________ 5s 4-Step Setup Reduction Low Risk: ________________________________________________ Inventory Reduction Implementation Plan: ______________________________________________ MSA Improvements Stakeholder (s) Approval: ___________________________________________ Price reductions Reduced DOWNTIME Benefits: (NVA steps or work) __________________________________________________________ Pull System __________________________________________________________ Kaizen events Other __________________________________________________________ Enter Key Slide Take Away (Key Point) Here International Standards for Lean Six Sigma 11 Sources of Waste Overproduction Defect Area 1 Sources of Waste Area 1 Area 1 Sub area 1 Transportation Sub area 1 Sub area 1 NVA Area 1 Area 1 Sub area 1 Processing Sub area 1 5% 10% ? ? ? ? Waiting 5% 5% 5% 30% ? Sub area 1 Inventory Motion < Insert your waste percentage as shown in pie chart > Area 1 40% Defect Overproduction Transportation Waiting Inventory Motion Processing Enter Key Slide Take Away (Key Point) Here International Standards for Lean Six Sigma 12 Swim Lane Process Map Client Mgr Notify HR of employee exit date Client HR Places information into HR database Oval shapes : Start/Stop of process Diamonds: Decision points Rectangles: process steps Half-Moon: Delay/Queue Time Note: Steps in blue shapes are non-value added steps Sends exit date to IT, telecom & facilities Avg. Delay 2 days Form require approval? No Re-verifies with mgr on employee’s exit status Yes Client Contact NT Admin Secure approval(s) Sends Email to Admin Create ticket if request coming directly from client Admin Avg. Delay 1 day Email Vendor Delete account Avg. Delay 2 days Sends Email to Admin Admin closes ticket and manager notified Utilize e-mail vendor’s web tool to submit delete request to vendor Avg. Delay 1 day Avg. Delay 2 days Generates ticket & forwards to Admin Avg. Delay 4 days Mark request as completed on admin web site Enter Key Slide Take Away (Key Point) Here International Standards for Lean Six Sigma 13 Value Stream Map Current State Service lead time = 384 min Order Mgmt Supervisor Weekly Update SUPPLIERS CUSTOMER Customer call time = 24 min Phone Call Phone Call Trig g e r: C o m p le tio n C rite ria : Order Mgmt C yc le Tim e : Ta k t Tim e : Manual Update N u m b e r o f P e op le : N u m b e r o f A p p ro va ls : Automate Monitoring Screen for Acct Mgr P/T = 3 min Ite m s in In b ox : % R e w o rk : Lost calls=10% Volume=1200 # o f Ite ra tion s (c yc le s ): # o f D a ta b as es : To p 3 R ew o rk Is s ue s : 1. 2. Large Business 6 Customers Order Mgmt Small Business 5 Customers Simplify/ Mistake Proof Home 3 Customers 5 min 3 min Simplify/ Combine 3. 4 Improve Visibility Forecast Improvement Order Mgmt Customer Info 4 Product Need Order Mgmt Order Mgmt Pricing Shipping Info 4 4 P/T = 2 min P/T = 6 Min P/T = 6 Min P/T = 2 Min Error Rate=2% Volume=800 Error Rate=0% Volume=800 Error Rate=2% Volume=800 Error Rate=1% Volume=800 2 min 6 min 6 min DIST 10 20 Orders 240 min 2 min Pick Pack & Ship P/T = 120 Min Error Rate=1% Volume=1200 120 min Enter Key Slide Take Away (Key Point) Here International Standards for Lean Six Sigma 14 Business Impact State financial impact of future project leverage opportunities Separate “hard or Type 1” from “soft Type 2 or 3” dollars Annual Estimate Type 1: ? Type 2: ? Type 3: ? Replicated Estimate Type 1: ? Type 2: ? Type 3: ? Revenue Enhancement • • • Expenses Reduction • Type • Type 1: ? 2: ? • Type 3: ? • • Loss Reduction • Type 1: ? • Type 2: ? • Type 3: ? • Cost Avoidance • Type 1: ? Type 2: ? Type 3: ? • • • • • Type 1: ? Type 2: ? Type 3: ? Total Savings • • • Type 1: ? Type 2: ? Type 3: ? • • • Type 1: ? Type 2: ? Type 3: ? • • • Type 1: ? Type 2: ? • Type 3: ? Type 1: ? • Type 2: ? • Type 3: ? Enter Key Slide Take Away (Key Point) Here International Standards for Lean Six Sigma 15 Business Impact Details Type 1: Describe the chain of causality that shows how you determined the Type 1 savings. (tell the story with cause–effect relationships, on how the proposed change should create the desired financial result (savings) in your project ) Show the financial calculation savings and assumptions used. Type 2: Describe the chain of causality that shows how you determined the Type 2 savings. (tell the story with cause–effect relationships, on how the proposed change should create the desired financial result (savings) in your project ) Show the financial calculation savings and assumptions used. Assumption #1 (i.e. Labor rate used, period of time, etc…) Assumption #2 (i.e. contractor hrs or FTE, source of data, etc…) Describe the Type 3 Business Impact(s) areas and how these were measured Assumption #1 (i.e. source of data, clear Operational Definitions?) Assumption #2 (i.e. hourly rate + incremental benefit cost + travel) Assumption #1 (i.e. project is driven by the Business strategy?) Assumption #2 (i.e. Customer service rating, employee moral, etc…) Other Questions Stakeholders agree on the project’s impact and how it will be measured in financial terms? What steps were taken to ensure the integrity & accuracy of the data? Has the project tracking worksheet been updated? Enter Key Slide Take Away (Key Point) Here International Standards for Lean Six Sigma 16 Current Status Key actions completed Issues Lessons learned Communication, team building, organizational activities Lean Six Sigma Project Status and Planning Deliverables/Tasks Completed last week Upcoming Deliverables/Tasks - 2 weeks out Comment Due Revised Due For deliverables due thru: Actions Scheduled for next 2 Weeks Deliverable/Action Who Due Revised Due Commen Current Issues and Risks Who Due Revised Due Recomm Issue/Risk Enter Key Slide Take Away (Key Point) Here International Standards for Lean Six Sigma 17 Next Steps Key actions Planned Lean Six Sigma Tool use Questions to answer Barrier/risk mitigation activities Lean Six Sigma Project Issue Log No. Description/Recommendation Status Open/Closed/Hold Last Revised: Revised Due Due Date Resp Comments / Resolution Date 1 2 3 4 5 6 7 8 9 10 Enter Key Slide Take Away (Key Point) Here International Standards for Lean Six Sigma 18 Sign Off I concur that the Measure phase was successfully completed on MM/DD/YYYY I concur the project is ready to proceed to next phase: Analyze Enter Name Here Green Belt/Black Belt Enter Name Here Enter Name Here Sponsor / Process Owner Financial Representative Enter Name Here Deployment Champion Enter Name Here Master Black Belt Enter Key Slide Take Away (Key Point) Here International Standards for Lean Six Sigma 19 Tollgate Reviews Backup Slides D M A I C Measure Tollgate Checklist Has a more detailed Value Stream Map been completed to better understand the process and problem, and where in the process the root causes might reside? Has the team conducted a value-added and cycle time analysis, identifying areas where time and resources are devoted to tasks not critical to the customer? Has the team identified the specific input (x), process (x), and output (y) measures needing to be collected for both effectiveness and efficiency categories (i.e. Quality, Speed, and Cost measures)? Has the team developed clear, unambiguous operational definitions for each measurement and tested them with others to ensure clarity/consistent interpretation? Has a clear, reasonable choice been made between gathering new data or taking advantage of existing data already collected by the organization? Has an appropriate sample size and sampling frequency been established to ensure valid representation of the process we’re measuring? Has the measurement system been checked for repeatability and reproducibility, potentially including training of data collectors? Has the team developed and tested data collection forms or check sheets which are easy to use and provide consistent, complete data? Has baseline performance and process capability been established? How large is the gap between current performance and the customer (or project) requirements? Has the team been able to identify any complete ‘Quick Wins’? Have any Kaizen opportunities been identified to accelerate momentum and results? Have key learning(s) to-date required any modification of the Project Charter? If so, have these changes been approved by the Project Sponsor and the Key Stakeholders? Have any new risks to project success been identified, added to the Risk Mitigation Plan, and a mitigation strategy put in place? Key Deliverables: Detailed Value Stream Map(s) Data Collection Plan Measurement Collection Results Process Capability Results Current Baseline Process Performance Quick Wins, if applicable Identification of Kaizen Opportunities, if applicable Refined Charter, as necessary Updated Risk Mitigation Plan Deliverables Uploaded to Central Storage Location or Deployment Management System. Tollgate Review Enter Key Slide Take Away (Key Point) Here International Standards for Lean Six Sigma 21 Analyze Tollgate Checklist Has the team examined the process and identified potential bottlenecks, disconnects and redundancies that could contribute to the problem statement? Deliverables: Has the team analyzed data about the process and its performance to help stratify the problem, understand reasons for variation in the process, and generate hypothesis as to the root causes of the current process performance? Prioritized List of Validated Root Causes Has an evaluation been done to determine whether the problem can be solved without a fundamental recreation of the process? Has the decision been confirmed with the Project Sponsor? Has the team investigated and validated (or devalidated) the root cause hypotheses generated earlier, to gain confidence that the “vital few” root causes have been uncovered? Does the team understand why the problem (the Quality, Cycle Time or Cost Efficiency issue identified in the Problem Statement) is being seen? Has the team been able to identify any additional ‘Quick Wins’? Have learnings to-date required modification of the Project Charter? If so, have these changes been approved by the Project Sponsor and the Key Stakeholders? Have any new risks to project success been identified, added to the Risk Mitigation Plan, and a mitigation strategy put in place? List of Potential Root causes Additional “Quick Wins”, if applicable Refined Charter, as necessary Updated Risk Mitigation Plan Deliverables Uploaded to Central Storage Location or Deployment Management System Tollgate Review Has the team identified the key factors (critical X’s) that have the biggest impact on process performance? Have they validated the root causes? International Standards for Lean Six Sigma 22 22 Abridged Process Sigma Conversion Table… Long-Term Yeild 99.99966% 99.9995% 99.9992% 99.9900% 99.8000% 99.9970% 99.9960% 99.9930% 99.9900% 99.9850% 99.9770% 99.9670% 99.9520% 99.9320% 99.9040% 99.8650% 99.8140% 99.7450% 99.6540% 99.5340% 99.3790% 99.181% 98.930% 98.610% 98.220% 97.730% 97.130% 96.410% 95.540% 94.520% 93.320% 91.920% 90.320% 88.50% 86.50% 84.20% 81.60% 78.80% 75.80% 72.60% 69.20% 65.60% 61.80% 58.00% 54.00% 50% 46% 43% 39% 35% 31% 28% 25% 22% 19% 16% 14% 12% 10% 8% Process Sigma (ST) 6.0 5.9 5.8 5.7 5.6 5.5 5.4 5.3 5.2 5.1 5.0 4.9 4.8 4.7 4.6 4.5 4.4 4.3 4.2 4.1 4.0 3.9 3.8 3.7 3.6 3.5 3.4 3.3 3.2 3.1 3.0 2.9 2.8 2.7 2.6 2.5 2.4 2.3 2.2 2.1 2.0 1.9 1.8 1.7 1.6 1.5 1.4 1.3 1.2 1.1 1.0 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 Defects Per 1,000,000 3.4 5 8 10 20 30 40 70 100 150 230 330 480 680 960 1350 1860 2550 3460 4660 6210 8190 10700 13900 17800 22700 28700 35900 44600 54800 66800 80800 96800 115000 135000 158000 184000 212000 242000 274000 308000 344000 382000 420000 460000 500000 540000 570000 610000 650000 690000 720000 750000 780000 810000 840000 860000 880000 900000 920000 Defects Per 100,000 0.34 0.5 0.8 1 2 3 4 7 10 15 23 33 48 68 96 135 186 255 346 466 621 819 1070 1390 1780 2270 2870 3590 4460 5480 6680 8080 9680 11500 13500 15800 18400 21200 24200 27400 30800 34400 38200 42000 46000 50000 54000 57000 61000 65000 69000 72000 75000 78000 81000 84000 86000 88000 90000 92000 Bonacorsi23 Consulting Defects Per 10,000 0.034 0.05 0.08 0.1 0.2 0.3 0.4 0.7 1 1.5 2.3 3.3 4.8 6.8 9.6 13.5 18.6 25.5 34.6 46.6 62.1 81.9 107 139 178 227 287 359 446 548 668 808 968 1150 1350 1580 1840 2120 2420 2740 3080 3440 3820 4200 4600 5000 5400 5700 6100 6500 6900 7200 7500 7800 8100 8400 8600 8800 9000 9200 Defects Per 1,000 0.0034 0.005 0.008 0.01 0.02 0.03 0.04 0.07 0.1 0.15 0.23 0.33 0.48 0.68 0.96 1.35 1.86 2.55 3.46 4.66 6.21 8.19 10.7 13.9 17.8 22.7 28.7 35.9 44.6 54.8 66.8 80.8 96.8 115 135 158 184 212 242 274 308 344 382 420 460 500 540 570 610 650 690 720 750 780 810 840 860 880 900 920 Defects Per 100 0.00034 0.0005 0.0008 0.001 0.002 0.003 0.004 0.007 0.01 0.015 0.023 0.033 0.048 0.068 0.096 0.135 0.186 0.255 0.346 0.466 0.621 0.819 1.07 1.39 1.78 2.27 2.87 3.59 4.46 5.48 6.68 8.08 9.68 11.5 13.5 15.8 18.4 21.2 24.2 27.4 30.8 34.4 38.2 42 46 50 54 57 61 65 69 72 75 78 81 84 86 88 90 92 Table of the Standard Normal (z) Distribution z 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9 3.0 3.1 3.2 3.3 3.4 0.00 0.0000 0.0398 0.0793 0.1179 0.1554 0.1915 0.2257 0.2580 0.2881 0.3159 0.3413 0.3643 0.3849 0.4032 0.4192 0.4332 0.4452 0.4554 0.4641 0.4713 0.4772 0.4821 0.4861 0.4893 0.4918 0.4938 0.4953 0.4965 0.4974 0.4981 0.4987 0.4990 0.4993 0.4995 0.4997 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.0040 0.0438 0.0832 0.1217 0.1591 0.1950 0.2291 0.2611 0.2910 0.3186 0.3438 0.3665 0.3869 0.4049 0.4207 0.4345 0.4463 0.4564 0.4649 0.4719 0.4778 0.4826 0.4864 0.4896 0.4920 0.4940 0.4955 0.4966 0.4975 0.4982 0.4987 0.4991 0.4993 0.4995 0.4997 0.0080 0.0478 0.0871 0.1255 0.1628 0.1985 0.2324 0.2642 0.2939 0.3212 0.3461 0.3686 0.3888 0.4066 0.4222 0.4357 0.4474 0.4573 0.4656 0.4726 0.4783 0.4830 0.4868 0.4898 0.4922 0.4941 0.4956 0.4967 0.4976 0.4982 0.4987 0.4991 0.4994 0.4995 0.4997 0.0120 0.0517 0.0910 0.1293 0.1664 0.2019 0.2357 0.2673 0.2969 0.3238 0.3485 0.3708 0.3907 0.4082 0.4236 0.4370 0.4484 0.4582 0.4664 0.4732 0.4788 0.4834 0.4871 0.4901 0.4925 0.4943 0.4957 0.4968 0.4977 0.4983 0.4988 0.4991 0.4994 0.4996 0.4997 0.0160 0.0557 0.0948 0.1331 0.1700 0.2054 0.2389 0.2704 0.2995 0.3264 0.3508 0.3729 0.3925 0.4099 0.4251 0.4382 0.4495 0.4591 0.4671 0.4738 0.4793 0.4838 0.4875 0.4904 0.4927 0.4945 0.4959 0.4969 0.4977 0.4984 0.4988 0.4992 0.4994 0.4996 0.4997 0.0190 0.0596 0.0987 0.1368 0.1736 0.2088 0.2422 0.2734 0.3023 0.3289 0.3513 0.3749 0.3944 0.4115 0.4265 0.4394 0.4505 0.4599 0.4678 0.4744 0.4798 0.4842 0.4878 0.4906 0.4929 0.4946 0.4960 0.4970 0.4978 0.4984 0.4989 0.4992 0.4994 0.4996 0.4997 0.0239 0.0636 0.1026 0.1406 0.1772 0.2123 0.2454 0.2764 0.3051 0.3315 0.3554 0.3770 0.3962 0.4131 0.4279 0.4406 0.4515 0.4608 0.4686 0.4750 0.4803 0.4846 0.4881 0.4909 0.4931 0.4948 0.4961 0.4971 0.4979 0.4985 0.4989 0.4992 0.4994 0.4996 0.4997 0.0279 0.0675 0.1064 0.1443 0.1808 0.2157 0.2486 0.2794 0.3078 0.3340 0.3577 0.3790 0.3980 0.4147 0.4292 0.4418 0.4525 0.4616 0.4693 0.4756 0.4808 0.4850 0.4884 0.4911 0.4932 0.4949 0.4962 0.4972 0.4979 0.4985 0.4989 0.4992 0.4995 0.4996 0.4997 0.0319 0.0714 0.1103 0.1480 0.1844 0.2190 0.2517 0.2823 0.3106 0.3365 0.3529 0.3810 0.3997 0.4162 0.4306 0.4429 0.4535 0.4625 0.4699 0.4761 0.4812 0.4854 0.4887 0.4913 0.4934 0.4951 0.4963 0.4973 0.4980 0.4986 0.4990 0.4993 0.4995 0.4996 0.4997 0.0359 0.0753 0.1141 0.1517 0.1879 0.2224 0.2549 0.2852 0.3133 0.3389 0.3621 0.3830 0.4015 0.4177 0.4319 0.4441 0.4545 0.4633 0.4706 0.4767 0.4817 0.4857 0.4890 0.4916 0.4936 0.4952 0.4964 0.4974 0.4981 0.4986 0.4990 0.4993 0.4995 0.4997 0.4998 Bonacorsi24 Consulting Lean Six Sigma DMAIC Improvement Process Define Define the opportunity from both the customer and business perspective Measure Understand the baseline process performance Analyze Identify the critical X factors and root causes impacting process performance Improve Develop solutions linked to critical x’s Control Implement solutions & control plan Enter Key Slide Take Away (Key Point) Here International Standards for Lean Six Sigma 25 Attitude Charting & Key Constituency Map (Optional) Key Constituents Map “Critical mass must be won-over” Customer 13% Operations 25% HR 25% Finance 37% 40% 35% 35% Attitude Charting 35% 30% 25% 20% 15% 15% 15% 10% 5% 0% Innovators Early Adopters Late Adopters Resistors Enter Key Slide Take Away (Key Point) Here International Standards for Lean Six Sigma 26 Sample Size: Continuous Data (Optional) Calculation for Sample Size - Continuous Data Population Size (N) Confidence Level (1-alpha) Power Level (1-beta) Standard Deviation (s) Required Precision (+/- delta) Initial Sample Size Corrected for Population Recommended Sample Size 860 0.95000 (Percent expressed as decimal) 0.90000 (Percent expressed as decimal) 10.00000 (Best prior estimate or Range/5) 3.00000 (Margin of Error) 117 (Assumes infinite population) 104 (Correction for finite population) ? ? ? ? ? 104 Calculation for Confidence Intervals - Continuous Data ? ? ? ? ? Population Size (N) 10,000 Confidence Level (1-alpha) 0.95000 (Percent expressed as decimal) Observed Sample Mean 25.00000 (Best estimate from data) Observed Sample Std. Dev. 5.00000 (Best estimate from data) Actual Sample Size 100 Lower Conf. Int. Limit (Mean) Upper Conf. Int. Limit (Mean) 23.86764596 (Corrected for finite population) 26.13235404 (Corrected for finite population) Lower Conf. Int. Limit (S.D.) Upper Conf. Int. Limit (S.D.) 4.390034232 5.808376227 Enter Key Slide Take Away (Key Point) Here International Standards for Lean Six Sigma 27 Sample Size: Discrete Data (Optional) Calculation for Sample Size - Discrete Data (Proportions) Population Size (N) 1,000 Confidence Level (1-alpha) 0.95000 (Percent expressed as decimal) Power Level (1-beta) 0.90000 (Percent expressed as decimal) Expected Proportion (p) 0.50000 (Best prior estimate or 0.50) Required Precision (+/- delta) 0.03000 (Margin of Error) Initial Sample Size Corrected for Population 2919 (Assumes infinite population) 746 (Correction for finite population) Recommended Sample Size 746 ? ? ? ? ? ? ? ? ? ? Calculation for Confidence Interval - Discrete Data Population Size (N) 10,000 Confidence Level (1-alpha) 0.95000 (Percent expressed as decimal) Observed Proportion (p) 0.50000 (Best estimate from data) Actual Sample Size Lower Conf. Int. Limit Upper Conf. Int. Limit 100 0.402488147 (Corrected for finite population) 0.597511853 (Corrected for finite population) Enter Key Slide Take Away (Key Point) Here International Standards for Lean Six Sigma 28 Measurement Systems Analysis (MSA) (Optional) Reported by : Gage Tolerance: name: Date Misc: of study : Gage R&R Measurement system is acceptable with the Total % Contribution <10% Response by Part % Contribution Percent % Study Var 10.00 9.75 50 9.50 0 Gage R&R Repeat Reprod 1 Part-to-Part 2 3 R Chart by Operator 1 2 3 0.10 5 6 7 8 9 10 Response by Operator UCL=0.1073 10.00 9.75 _ R=0.0417 0.05 4 Part 9.50 0.00 LCL=0 1 2 Operator Xbar Chart by Operator 1 10.00 9.75 2 3 Operator * Part Interaction 3 UCL=9.8422 __ X=9.7996 LCL=9.7569 Operator 10.00 Average Number of Distinct Categories = 7 Components of Variation 100 Sample Range Study Var %Study Var Source StdDev (SD) (6 * SD) (%SV) Total Gage R&R .039870 0.23922 19.22 Repeatability 0.023594 0.14156 11.38 Reproducibility 0.032140 0.19284 15.50 Operator 0.018488 0.11093 8.91 Operator*Part 0.026290 0.15774 12.68 Part-To-Part 0.203531 1.22118 98.13 Total Variation 0.207399 1.24439 100.00 Gage R&R (ANOVA) for Response Sample Mean %Contribution Source VarComp (of VarComp) Total Gage R&R 0.0015896 3.70 Repeatability 0.0005567 1.29 Reproducibility 0.0010330 2.40 Operator 0.0003418 0.79 Operator*Part 0.0006912 1.61 Part-To-Part 0.0414247 96.30 Total Variation 0.0430143 100.00 9.50 1 2 9.75 3 9.50 1 2 3 4 5 6 Part 7 8 9 10 Enter Key Slide Take Away (Key Point) Here International Standards for Lean Six Sigma 29 Probability Plot (Optional) Probability Plot of Anderson-Darling Normality Normal - 95% CI 99.9 99 Percent 95 90 80 70 60 50 40 30 20 Mean StDev N AD P-Value 24.74 4.177 100 0.380 0.397 10 5 1 0.1 10 15 20 25 QTY 30 35 40 Enter Key Slide Take Away (Key Point) Here International Standards for Lean Six Sigma 30 Control Chart (Optional) I-M R C ha r t of D e liv e r y Time 40 U C L= 3 7 .7 0 I n d iv id u a l V a lu e The current baseline delivery time is stable over time with both the Moving Range (MR) (3.22 days) and Individual Average (29.13 days) experiencing common cause variation 255 data points collected with zero subgroups, thus the I&MR control chart selected 35 _ X= 2 9 .1 3 30 25 LC L= 2 0 .5 6 20 1 28 55 82 109 136 163 190 217 244 O b s e r v a t io n U C L= 1 0 .5 3 1 0 .0 M o v in g R a n g e 7 .5 5 .0 __ M R = 3 .2 2 2 .5 0 .0 LC L= 0 1 28 55 82 109 136 163 190 217 244 O b s e r v a t io n Enter Key Slide Take Away (Key Point) Here International Standards for Lean Six Sigma 31 PDCA (Optional) Plan: ? ? Do: ? ? Check: ? ? Act: ? ? ? Plan ? Do ? Check ? Act Enter Key Slide Take Away (Key Point) Here International Standards for Lean Six Sigma 32 5s (Optional) Sort ? ? Set Order ? ? Shine ? ? Standardize ? ? Sustain ? ? 5s FORM IDENTIFICATION ITEM NAME TAG NUMBER TAGGED BY TAG DATE CLASSIFICATION o RAW MATERIAL o TOOLS o FURNITURE o WIP o SUPPLIES o OFFICE MATERIAL o o EQUIPMENT o BOOKS/MAGAZINES FINISHED GOOD QUANTITY o OTHER (EXPLAIN) CELL / AREA REASON o UNNECESSARY o LEFTOVER MATERIAL o DEFECTIVE o UNKNOWN o NON-URGENT o OTHER (EXPLAIN) DISPOSITION REQUIRED o DISCARD o TRANSFER o o LONG-TERM STORAGE o OTHER (EXPLAIN) IN-CELL STORAGE o REDUCE ACTION TAKEN ACTION DESCRIPTION APPROVED BY DATE NEW LOCATION NEW CELL / AREA Enter Key Slide Take Away (Key Point) Here International Standards for Lean Six Sigma 33 Benchmark Analysis (Optional) CTQ Process Capability (X/Y) Benchmark Gap / Opportunity Source Assumptions Risks Based on the information above, what is the performance objective*? • Reduce defects by % • Reduce long-term DPMO from to . • Improve short-term Z from to . *If you do not benchmark, performance standards are based on: • For a process with 3 sigma level, decrease % defects by 10x. • For a process with > 3 sigma level, decrease % defects by 2x. • Other….please explain (corporate mandate, compliance/legal, VOC data, etc) Enter Key Slide Take Away (Key Point) Here International Standards for Lean Six Sigma 34 e ntim 4.0 Enter Key Slide Take Away (Key Point) Here ic Pr e r de Re rL la tio ea ns d Ti hi m p Ne e M w an Pr ag od em uc en tD t ev el op m Br en an Pr t od d Im uc ag tO e ffe rin Pr g ox Br im ea ity dt h to Cu st om er Sp ec i CTQ Importance al O % De liv Co er y m pl et e W O rd ar er ra nt y Re tu In rn ve s nt or y Tu Co rn s rre ct In vo ic e O Key Buying Factor Analysis (Optional) Company Comp 1 International Standards for Lean Six Sigma Comp 2 Comp 3 10.0 9.0 8.0 7.0 6.0 5.0 35 Sample Value Stream Mapping Symbols (Optional) Machining Quotes C/T = 36 Sec Set Up Time 7 Min I Uptime 86% Queue/ Inventory Data Box Process Box Flow (Physical) Flow (Information) Electronic Information 1 Personnel Truck Shipment Sign Off Point Electronic Data System “Go See” Monitoring Physical Pull FIFO FIFO Lane Physical Transport Supplier/ Customer Push Systems Project Burst Supermarket Replenishment Kanban Station Paper Kanban Enter Key Slide Take Away (Key Point) Here International Standards for Lean Six Sigma 36 Spaghetti Diagram (Optional) Lines indicate paper/information travel: Supply - No set path - Lots of rework Order Taker 1 Order Entry 1 Order Entry 2 Foyer Order Entry 3 Reception Room (paper and office supplies) Room (Order Management) Order Taker 2 Order Taker 3 Printer, Fax OM Lead CC & Val 2 CC & Val 1 CC & Val 3 OM Supr Office Copier Records Indicates an in-box or outbox where work (forms/ information) waits to be worked on or transferred EAST To Office Parking Lot Restrooms Cafeteria Vault (finance) Engineering Offices Planning & Scheduling Enter Key Slide Take Away (Key Point) Here International Standards for Lean Six Sigma 37 AS-IS Process Mapping Symbols (Optional) Enter Key Slide Take Away (Key Point) Here International Standards for Lean Six Sigma 38