Businesses and Processes Transformation (Lean Six Sigma)

Explore how Six Sigma is a data-driven management system to reduce defects and variation, meeting customer specifications, using the DMAIC framework and the y = f(x) model.

Explore Lean Six Sigma roles from yellow to master black belt, learn mentoring, tools use, and continuous improvement across business processes with career pathways and key literature.

Translate customer needs into measurable CTQs using the flow down tool and house of quality, mapping drivers and features to benchmarks and prioritizing improvements.

Define a lean six sigma project with a clear charter approved by the sponsor, including problem statements, business case, measurable goals, scope, roles, and a practical schedule.

Explore how to define process components using the POC framework—supplier inputs, process steps, outputs, and customers—through high-level process mapping and an example of a food delivery workflow.

Learn to translate data into themes by describing central tendency and dispersion, and choose suitable graphs like histograms and box plots to clearly interpret patterns and outliers.

Apply descriptive statistics and box plots to compare temperature across four blends, then analyze data trends with time series and linear trend models to forecast defects.

Analyze data using correlation and regression analysis to predict outcomes, apply fmea to identify and prioritize root causes, and use five whys and hypothesis testing to design corrective actions.

Formulate a data-driven hypothesis and apply hypothesis testing to decide between null and alternative hypotheses, using p-values, significance levels, and appropriate tests.

Kaizen events mobilize cross-functional teams to drive continuous incremental improvement with rapid, low-capital wins, guided by a clear problem statement, value stream map, MVP, and baseline KPI.