Lean Six Sigma Black and Green Belt Training & Certification

Develop reliable and accurate performance measures by scrutinizing measurement systems and data, and align end-to-end metrics with customer expectations through clear definitions, exclusions, and sampling to manage variation.

Learn how to create a high-level Sipoc map from supplier input to customer outputs, capturing inputs, process steps, outputs, and suppliers for an end-to-end, customer-centric view.

Compute the DPMO and sigma level, distinguish defects from defectives, and review data types—qualitative versus quantitative, discrete versus continuous.

Build p and np control charts for attribute data like daily customer complaints with varying lot sizes. Compute p-bar and np-bar, set upper and lower control limits, and interpret chart.

Use box plots to detect outliers and pinpoint root causes across loan processing stages—initial application review, underwriting, and final approval—by analyzing the interquartile range (Q1–Q3) and the median.

Learn logistic regression on a binary outcome, encoding y as numeric, and evaluate vibration, temperature, and tenure as predictors using the logit function in the Excel data analysis pack.

Explore how representative random samples infer population trends and apply hypothesis testing to evaluate null and alternative hypotheses, using p values and proportional representation.

Explore how to run hypothesis tests in Excel, including two-sample t tests, paired t tests, ANOVA, and chi-square, using the data analysis pack and interpreting p-values and normality.

Learn to perform failure mode effects analysis (FMEA) to identify failure modes, assess severity, occurrence, and detectability, compute risk priority numbers, and prioritize preventive actions within a Six Sigma framework.

In the improve phase, turn verified root causes into action by prioritizing high‑impact, in‑control items using the control impact matrix, piloting and validating in a controlled environment before scaling.

Explore mistake proofing or poka yoke, designing systems that make errors rare or impossible. Combine with SPC and control charts to detect remaining variation and sustain reliable performance.

Control charts monitor process stability in the control phase, using variable and attribute charts to sustain improvements and detect special causes with Western Electric rules.

This case study examines a restaurant project using Lean Six Sigma approaches to cut service time from 20 to 15 minutes, linking improvements to revenue and customer satisfaction.