Six Sigma Black Belt Course Topics

Lesson Topic
Overview A top-level overview of the topics covered in this course
Why Six Sigma? An interactive lesson to answer an important question
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 Six Sigma Projects How to carefully assess Six Sigma project candidates to assure success
Develop Project Plan Lesson 1 Team selection and dynamics; brainstorming; consensus decision making; nominal group technique
Develop project plan 02-Lesson Stakeholder analysis, communication and planning, cross functional collaboration, and Force Field Analysis
Develop project plan 3-Lesson Obtain a charter for your project
Develop Project Plan Lesson 4-Project Management Work breakdown structures, DMAIC tasks, Network diagrams
Develop Project Plan Lesson 5-Project Management Project schedule management; Project budget management
Develop Project Plan Lesson 06-Avoiding and Overcoming Obstacles Obstacle avoidance tactics and management support strategies
high level maps 01 L-Maps, linking project charter Ys to L-Map processes
High level maps 02-SIPOC Mapping the process from supplier to customer
VOC 01 Kano Model, getting the voice of the customer using the critical incident technique
VOC 02-Survey Development Using the output of the CIT process to develop and validate surveys
VOC 03-Listening to customers Focus groups and other customer listening posts
VOC 04-Analytic Hierarchical Process (AHP) How to determine customer importance weights
VOC 05-CTQ Specification Link the voice of the customer to the CTQs that drive it
Principles of variation 01-Lesson How will I measure success? Are my measurements trustworthy? Learn about scales of measurement, data types, measurement error principles.
Principles of variation 02-Lesson Enumerative and analytic studies; statistical process control principles; operational definitions
Establish baseline 01-Lesson Descriptive statistics for measuring distribution location, spread, and shape
Establish baseline 02-Lesson Control charts for location or central tendency: averages, ranges, standard deviations, individual observations, and moving ranges.
Establish baseline 03-Lesson Control charts for discrete data (attributes control charts.) p, np, c and u charts
Establish baseline 04-Lesson Control chart selection and interpretation
Establish baseline 05-Lesson Discrete distribution:Binomial, Poisson, Hypergeometric
Establish baseline 06-Lesson Continuous probability distributions for Six Sigma: normal, exponential, chi-square, Student’s t, F
Establish baseline 07-Lesson Process capability analysis
Establish baseline 08-Lesson Rolled throughput yield, normalized yield, process sigma level
Establish baseline 09-Lesson Create detailed pictures of the as-is process
Test theories with data 01-Lesson Statistical inference
Stratify data 01 – Lesson Data collection and sampling for stratification
Stratify data 02-Lesson Data stratification tools: tree diagrams, Pareto analysis, matrix diagrams, check sheets, defect location maps
Stratify data 03-Lesson Distributions-graphical data summaries. Histograms and frequency plots.
Stratify data 04-Lesson Exploratory Data Analysis (EDA). Box plots, stem-and-leaf plots.
Stratify data 05-Lesson Multi-Vari Charts
Set goals for the outputs 01-Lesson Benchmarking as an aid in goal setting
Set goals for outputs 02-Lesson Project FMEA
Focus problem statement-Opportunity Maps Use activity maps to identify value added activities
Develop theories 01-Lesson Brainstorming, cause-and-effect diagrams (Ishikawa diagrams, fishbone diagrams)
Develop theories 02-Lesson Root cause analysis, event and causal factor tree, fault tree analysis.
Test theories with data 02-Lesson Testing common assumptions: data type, independence, normality
Test theories with data 03-Lesson Experimentation concepts and sample size
Test theories with data 04-Lesson Testing one way classifications: t-tests, ANOM, 1-Way ANOVA, Kruskal-Wallis
Test theories with data 05-Lesson Two way classification analysis: ANOVA, ANOM
Test theories with data 06-Lesson Analysis of two-way tables of counts using chi-square
Test theories with data 07-Lesson Non-parametric testing with Minitab
Model cause and effect 01-Lesson Correlation analysis, scatter plots
Model cause and effect 02-Lesson Regression analysis, linearizing transformations
Model cause and effect 03-Lesson Analysis of residuals from regression analysis
Model cause and effect 04-Lesson Designing and analyzing screening experiments using Minitab
Model cause and effect 05-Lesson Factorial and fractional factorial designed experiments using Minitab
Analysis of costs and benefits-Lesson Financial analysis including present value, future value, net present value, internal rate of return
Measurement systems analysis 01-Lesson Analysis of continuous data measurement systems (taught here, but used earlier in actual projects)
Measurement systems analysis 02-Lesson Analysis of attributes measurement systems
Determine improvement strategy 01-Lesson Improvement project planning, pilot study, simulation
Determine improvement strategy 02-Lesson Risk assessment and mitigation using prioritizatoin matrices, FMEA and process decision program charts (PDPC)
Implement 01-Lesson Institutionalize your changes
Implement 02-Lesson Process control planning, process control principles, choosing the process elements to monitor, approaches to process control, and next steps.
Implement 03-Lesson Process deployment maps
Implement 04-Lesson Dashboards for process control and improvement
Implement 05-Lesson Training needs analysis, continuous improvement with KAIZEN, project closure

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