Lean Six Sigma Black Belt Course Topics
| Topic | |
| Overview | A top-level overview of the topics covered in this course |
| What is Six Sigma? | A complete top-level overview |
| Lean Overview 1 | Waste and Value |
| Lean Overview 2 | Value Streams, Flow and Pull |
| Lean Overview 3 | Perfection |
| Recognizing an Opportunity | Linking your Black Belt activities to the organization’s vision and goals |
| Choosing the Project-Pareto Analysis | How to pick a winning project using Pareto Analysis |
| Assessing Lean Six Sigma Project Candidates | How to carefully assess Lean Six Sigma project candidates to assure success |
| Develop the Project Plan 1 | Team selection and dynamics; brainstorming; consensus decision making; nominal group technique |
| Develop the Project Plan 2 | Stakeholder analysis, communication and planning, cross functional collaboration, and Force Field Analysis |
| Develop the Project Plan 3 | Obtain a charter for your project |
| Develop the Project Plan 4 | Work breakdown structures, DMAIC tasks, network diagrams |
| Develop the Project Plan 5 | Project schedule management; project budget management |
| Develop the Project Plan 6 | Obstacle avoidance tactics and management support strategies |
| High Level Maps 1 | L-Maps, linking project charter Ys to L-Map processes |
| High Level Maps 2 | Mapping the process from supplier to customer (SIPOC) |
| High Level Maps 3 | Product family matrix |
| Voice of the Customer (VOC) 1 | Kano Model, getting the voice of the customer using the critical incident technique |
| VOC 2-Survey Development | Using the output of the CIT process to develop and validate surveys |
| VOC 3-Listening to Customers | Focus groups and other customer listening posts |
| VOC 4-Analytic Hierarchical Process (AHP) | How to determine customer importance weights |
| VOC 5-CTQ Specification | Link the voice of the customer to the CTQs that drive it |
| Principles of Variation 1 | How will I measure success? Are my measurements trustworthy? Scales of measurement, data types, measurement error principles. |
| Principles of Variation 2 | Enumerative and analytic studies; statistical process control principles; operational definitions |
| Establish the Process Baseline 1 | Descriptive statistics for measuring distribution location, spread, and shape |
| Establish the Process Baseline 2 | Control charts for location or central tendency: averages, ranges, standard deviations, individual observations, and moving ranges. |
| Establish the Process Baseline 3 | Control charts for discrete data (attributes control charts.) p, np, c and u charts |
| Establish the Process Baseline 4 | Control chart selection and interpretation |
| Establish the Process Baseline 5 | Discrete distribution:Binomial, Poisson, Hypergeometric |
| Establish the Process Baseline 6 | Continuous probability distributions for Lean Six Sigma: normal, exponential, chi-square, Student’s t, F |
| Establish the Process Baseline 7 | Process capability analysis |
| Establish the Process Baseline 8 | Rolled throughput yield, normalized yield, process sigma level |
| Establish the Process Baseline 9 | Create detailed pictures of the as-is process |
| Establish the Process Baseline 10 | Spaghetti charts |
| Establish the Process Baseline 11 | Current state value stream map |
| Test Theories with Data 1 | Statistical inference |
| Stratify Data 1 | Data collection and sampling for stratification |
| Stratify Data 2 | Data stratification tools: tree diagrams, Pareto analysis, matrix diagrams, check sheets, defect location maps |
| Stratify Data 3 | Distributions-graphical data summaries. Histograms and frequency plots. |
| Stratify Data 4 | Exploratory Data Analysis (EDA). Box plots, stem-and-leaf plots. |
| Set Goals for the Outputs 1 | Benchmarking as an aid in goal setting |
| Set Goals for the Outputs 2 | Project FMEA |
| Focus the Problem Statement-Opportunity Maps | Use activity maps to identify value added activities |
| Design a Lean Value Stream | Lean principles; future state value stream map |
| Develop Theories 1 | Brainstorming, cause-and-effect diagrams (Ishikawa diagrams, fishbone diagrams) |
| Develop Theories 2 | Root cause analysis, event and causal factor tree, fault tree analysis. |
| Test Theories with Data 2 | Testing common assumptions: data type, independence, normality |
| Test Theories with Data 3 | Experimentation concepts and sample size |
| Test Theories with Data 4 | Testing one way classifications: t-tests, ANOM, 1-Way ANOVA, Kruskal-Wallis |
| Test Theories with Data 5 | Two way classification analysis: ANOVA, ANOM |
| Test Theories with Data 6 | Analysis of two-way tables of counts using chi-square |
| Test Theories with Data 7 | Non-parametric testing with Minitab |
| Model Cause-and-Effect 1 | Correlation analysis, scatter plots |
| Model Cause-and-Effect 2 | Regression analysis, linearizing transformations |
| Model Cause-and-Effect 3 | Analysis of residuals from regression analysis |
| Model Cause-and-Effect 4 | Designing and analyzing screening experiments using Minitab |
| Model Cause-and-Effect 5 | Factorial and fractional factorial designed experiments using Minitab |
| Creating Flow (2 modules) | Select the subproject, identify high-impact variables, design pull systems, design continuous flow work cells, choosing and maintaining equipment, 5S, SMED, etc. |
| Analysis of Costs and Benefits | Financial analysis including present value, future value, net present value, internal rate of return |
| Measurement Systems Analysis 1 | Analysis of continuous data measurement systems (taught here, but used earlier in actual projects) |
| Measurement Systems Analysis 2 | Analysis of attributes measurement systems |
| Determine Improvement Strategy 01 | Improvement project planning, pilot study, simulation |
| Determine Improvement Strategy 02 | Risk assessment and mitigation using prioritizatoin matrices, FMEA and process decision program charts (PDPC) |
| Implement 1 | Institutionalize your changes |
| Implement 2 | Process control planning, process control principles, choosing the process elements to monitor, approaches to process control, and next steps. |
| Implement 3 | Process deployment maps |
| Implement 4 | Dashboards for process control and improvement |
| Implement 5 | Training needs analysis, continuous improvement with KAIZEN, Kaizen events, extend flow to suppliers and customers, project closure |
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