EXIN LSSA Six Sigma Black Belt study materials
EXIN LSSA Six Sigma Black Belt study resources

EXIN LSSA Six Sigma Black Belt study plan

EXIN LSSA Six Sigma Black Belt · Give each week a clear focus.

8 weeks · About 6 hours per week

Week 1

Lean Six Sigma fundamentals and deployment

  • Distinguish Lean, Six Sigma, and Lean Six Sigma by writing a one-paragraph definition of each plus two situations where each approach alone would underperform

  • Map the DMAIC roadmap end to end and label the key deliverables and exit criteria of each phase

  • Compute DPMO, yield, and process sigma from a defect count and unit count, then convert sigma level to approximate DPMO without a table

  • Identify at least six common Lean wastes in a process you know and rank them by estimated annual cost or time impact

  • Explain the roles of Champion, Sponsor, Master Black Belt, Black Belt, Green Belt, and process owner and where they sit in a deployment structure

Your checkpoint

A two-page deployment summary containing a DMAIC roadmap table with phase deliverables and exit criteria, a worked sigma-level calculation with your own numbers, and a waste inventory of at least six items

Week 2

Lean Six Sigma fundamentals and deployment & Define phase

  • Evaluate the readiness criteria for launching a Six Sigma initiative, including leadership commitment, linkage to strategy, and resource allocation

  • Produce a stakeholder analysis that classifies stakeholders by influence and interest and states an engagement action for each group

  • Write a problem statement that is measurable, time-bound, and free of an embedded cause or solution

  • Draft a SMART goal statement and a business case that ties the project to financial or customer impact

  • Draft a team charter and a SIPOC for a real process, identifying at least four customers and their CTQ characteristics

Your checkpoint

A complete project charter package for one real or realistic process: problem statement, SMART goal, business case, scope boundaries, team roles, stakeholder table, and SIPOC with at least four CTQs

Week 3

Define phase

  • Translate customer needs into a prioritized list of CTQs with operational definitions and specification limits

  • Construct a Kano model classification of at least eight customer requirements and explain which drive satisfaction versus dissatisfaction

  • Build a CTQ tree from a broad customer need down to measurable characteristics

  • Select the most appropriate tool among VOC collection methods, affinity diagram, and tree diagram for three different scenarios and justify each choice

  • Define process boundaries and scope exclusions that prevent scope creep in the charter

Your checkpoint

A VOC-to-CTQ package containing a Kano classification table, a CTQ tree with at least three levels, and operational definitions with specification limits for every CTQ

Week 4

Measure phase

  • Design a data collection plan that specifies what to measure, how, by whom, when, and the operational definition for each metric

  • Classify each of your CTQ metrics as continuous or discrete and select the appropriate measurement scale

  • Perform a Gage R&R interpretation using a provided repeatability and reproducibility output, stating whether the measurement system is acceptable and why

  • Explain the difference between accuracy, linearity, stability, and precision and give a process example of each

  • Calculate baseline process capability using Cp and Cpk, and explain what Cpk tells you that Cp does not

Your checkpoint

A measurement system plan and baseline capability summary: data collection plan, metric classification table, a written Gage R&R verdict with reasoning, and calculated Cp and Cpk for at least one continuous CTQ

Week 5

Measure phase

  • Construct and interpret a control chart selection guide that matches data type and subgroup size to the correct chart

  • Build a process map with cycle times and identify where value is added versus where only cost is added

  • Calculate rolled throughput yield for a multi-step process and compare it with final yield

  • Distinguish common cause from special cause variation and state the correct management response to each

  • Compute sample size needs for a given confidence level and margin of error for a proportion

Your checkpoint

A measurement and baseline analysis report containing a control chart selection matrix, a value-added process map with cycle times, a rolled throughput yield calculation, and a written special-cause versus common-cause assessment

Week 6

Analyze phase

  • Generate and organize cause hypotheses using a fishbone diagram and a cause-and-effect matrix weighted by customer importance

  • Build a Pareto chart and apply the 80/20 rule to prioritize the vital few causes

  • Select the correct hypothesis test for five given scenarios by matching data type, number of groups, and pairing

  • Interpret a hypothesis test output: state the null and alternative hypotheses, read the p-value, and state the conclusion in process terms

  • Distinguish statistical significance from practical significance and identify the risks of a Type I versus Type II error in your project

Your checkpoint

An analysis report containing a weighted cause-and-effect matrix, a Pareto chart with a prioritized vital-few list, and a hypothesis test selection table with a worked interpretation of at least one test

Week 7

Analyze phase & Improve and Control phases

  • Complete a regression or correlation analysis and interpret slope, R-squared, and residual behavior for a real data set

  • Verify root causes with data rather than opinion and document the evidence for each confirmed cause

  • Generate, screen, and select improvement solutions using an impact-effort matrix and a failure mode and effects analysis

  • Design a pilot or designed experiment to test the chosen solution before full implementation

  • Plan a control strategy that names the metric, the chart, the reaction plan, and the owner for each critical X

Your checkpoint

A root-cause and solution package: verified causes with evidence, an impact-effort matrix, a failure mode and effects analysis with at least five failure modes and RPN scores, and a pilot plan

Week 8

Improve and Control phases

  • Build a control plan that specifies the standard operating procedure, monitoring method, response plan, and audit frequency for each critical process input

  • Standardize the improved process with a documented procedure and a mistake-proofing device or check

  • Calculate and present the financial and operational benefit of the project against the original business case

  • Prepare a project closure and handover package that transfers ownership to the process owner

  • Assemble a full practice exam review plan that targets your weakest domain based on your own diagnostic results

Your checkpoint

A complete project closure package: control plan, standardized work document, before-and-after capability comparison, benefit calculation against the business case, and a written handover to the process owner

Milestones

Week 2: You can explain the DMAIC roadmap and sigma-level math without notes, and your project charter passes a self-review for a measurable problem statement and a cause-free goal

Week 4: You can compute DPMO, yield, and process sigma from raw counts, and you can state whether a Gage R&R result is acceptable and justify the verdict

Week 5: You can select the correct control chart for a described data set and calculate rolled throughput yield for a three-step process

Week 6: You can match five scenarios to the correct hypothesis test and interpret a p-value in plain process language without error

Week 8: You have a completed closure package and score at least 80 percent on a timed mixed-domain practice set, with no single domain below 70 percent