EXIN LSSA Green Belt Practical study plan

Map the Green Belt practical body of knowledge into a personal checklist covering DMAIC phases, Lean tools, and statistical methods, and mark every item as known, shaky, or unknown

Define the exam's practical decision points: when to use a Pareto chart versus a fishbone diagram, and when to run a hypothesis test versus a control chart

Build a one-page glossary of Lean Six Sigma vocabulary (CTQ, VOC, SIPOC, muda, kaizen, poke-yoke, FMEA, Cpk) with a one-line definition you can recall without notes

Draft a blank DMAIC project charter template you will reuse in later weeks

Construct SIPOC diagrams for three different process types (service, manufacturing, transactional) and identify the inputs, outputs, and customer requirements for each

Translate voice-of-customer statements into measurable CTQs with operational definitions, units, and specification limits

Practice writing problem statements and goal statements that are specific, measurable, and time-bound, then critique three weak examples

Explain how project charters link to business cases and how scope creep is prevented

Select and justify the correct data collection method (check sheet, automated log, sampling plan) for five different measurement scenarios

Define the difference between discrete and continuous data and choose appropriate charting for each

Design a data collection plan including sampling strategy, sample size rationale, and stratification factors

Identify measurement system issues and describe how to plan a Gage R&R study for a given process

Calculate and interpret basic descriptive statistics (mean, median, standard deviation, range, percentiles) from a small dataset by hand and verify with a spreadsheet

Build and read run charts, Pareto charts, histograms, and scatter plots, and state the specific question each chart answers

Distinguish common-cause from special-cause variation and apply the appropriate control chart rule sets

Select control chart types (X-mR, Xbar-R, p, np, c, u) for at least six described scenarios

Perform a process capability analysis and interpret Cp, Cpk, Pp, and Ppk, explaining why Cpk and Ppk differ

Explain the assumptions behind capability indices and identify when capability analysis is inappropriate

Carry out a root cause analysis using fishbone, 5 Whys, and fault tree techniques on a single problem and rank the candidate causes

Plan a failure mode and effects analysis with severity, occurrence, and detection scoring and a risk priority number threshold

Set up and interpret a two-sample hypothesis test, stating null and alternative hypotheses, alpha, p-value, and the practical conclusion in plain language

Choose between paired and independent tests, and between parametric and nonparametric alternatives, for four described situations

Use correlation and simple linear regression output to describe the strength and direction of a relationship and to state its limitations

Explain how to design a screening experiment and interpret main effects and interactions in a two-level factorial design

Generate and prioritize improvement solutions using impact-effort analysis, benchmarking, and pilot testing logic

Apply Lean tools (5S, kanban, standard work, poka-yoke, SMED) to a described process and justify each choice

Design a pilot plan with success criteria, sample size, and a rollback condition

Explain how to build a control plan and mistake-proof a process so gains persist

Assemble a complete end-to-end DMAIC case study from your earlier deliverables and defend each tool choice against alternatives

Complete a timed practice set of scenario-based questions and review every wrong answer to its underlying concept

Revisit your week 1 checklist and close every item still marked shaky or unknown

Summarize the ten most common practical pitfalls (wrong chart, ignored measurement error, capability on unstable process) and how to avoid each