Businesses and Processes Transformation (Lean Six Sigma)

Learn six sigma fundamentals, its purpose and methodology, the lean difference, and the lean six sigma fusion, plus roles and core quality tools and metrics.

Discover how business drivers like quality, speed, risk reduction, and cost guide transformation, and how Lean Six Sigma, design thinking, and automation create value by eliminating waste across industries.

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.

Lean identifies and eliminates waste by classifying activities into none value added, value added, and business value added to meet the customer specification with minimal processing time.

Learn how Lean and Six Sigma combine to reduce waste and defects, improve process steps, and boost quality, cycle time, and customer satisfaction across industries.

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.

Explore the defined phase of Lean Six Sigma, translating the voice of customers into critical-to-quality characteristics, selecting suitable projects, identifying stakeholders, and using the CIPOC tool with charter and scope.

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

Learn how to select the right Lean Six Sigma project by sizing the problem in the defined phase, crafting a fact-based opportunity statement, and applying smart objectives to prioritize improvements.

Identify stakeholder needs and roles through stakeholder analysis to keep the project moving. Apply the raci framework to assign responsible and accountable roles and gauge commitment across project phases.

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.

Drive change management in Lean Six Sigma projects by engaging stakeholders through the project charter. Guide teams through forming, storming, norming, and performing to sustain improvements via the control phase.

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.

Choose a Lean Six Sigma project using personal finances to raise savings from 10% to 20%, by building a defined phase project charter with problem statements, scope, and goals.

Learn statistics basics for process measurement: median, mean, mode, and standard deviation; distinguish qualitative and quantitative data; cover data collection, precision, accuracy, bias, gauge R&R, and process capability.

Explore why measurement matters in lean six sigma, using y equals f(x) to link causes to output and guide metrics like defects per unit and cycle time.

Explore data foundations by distinguishing qualitative and quantitative types, including discrete and continuous data, and use graphs and tests to link Y=f(X); assess efficiency and effectiveness metrics.

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.

Apply a measurement framework to collect, cleanse, and transform data for evaluating the current state process. Define objectives, data sources, sampling, data quality checks, and root-cause analysis to drive outcomes.

Develop and execute a structured data collection plan by defining objectives, determining sample size, applying sampling techniques for holistic population coverage, and auditing multi-source data for high confidence.

Master measurement system analysis (MSA) to identify and quantify variation sources in the measurement process, reduce total variation, and improve data quality through standardized methods, equipment, and validation.

Assess measurement system accuracy and precision by exploring bias, linearity, stability, and discrimination, and improve reproducibility and repeatability with gauge R and anova in lean six sigma.

Explore how to evaluate process capability and performance capability against product specifications using CPE and CPK, considering centering versus non-centering, with real-world bottling examples.

Define the measurement objectives, create a data collection plan, cleanse and transform data, and map spending and income to identify opportunities to increase savings toward the 20 percent goal.

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.

Apply a structured analyze framework in Lean Six Sigma to link inputs and outcomes. Use graphical and statistical tools—scatter plots, box plots, histograms, and regression—to reveal X–Y relationships.

Explore correlation, causation, and regression to distinguish relationships between variables, interpret correlation coefficients, and use the best-fit line to forecast outcomes like graduate GPA from undergrad GPA and GMAT scores.

Learn how failure mode and effects analysis (FMEA) guides lean Six Sigma improvements by identifying failures and prioritizing mitigations based on consequences and the metrics severity, occurrence, and detection.

Identify and reduce the eight lean waste types—defects, overproduction, waiting, not utilized talent, transportation, inventory, motion, and extra processing—through standardization, demand management, and automation.

Learn the five whys root-cause method to uncover the real problem and the five s framework to eliminate waste, standardize work, and sustain Lean Six Sigma improvements.

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

Apply the PGA framework to real data: graph spending and income, test hypotheses, and identify saving opportunities using box plots, histograms, and Pareto 80/20 categories to reach 20% savings.

The chapter introduces an improved phase and strategy, showing how to use value stream map, mistake proofing, benchmarking, and gemba, Kazan and Kazan blitz to generate solutions and calculate benefits.

Develop improvement strategy by identifying critical x's (categorical or continuous), then pilot, standardize, assess risks, and use process mapping, mistake proofing, simulations, and design of experiments to optimize the process.

Apply value stream map to visualize the current state of cross-functional processes, identify pain points, and gather data from stakeholders to eliminate waste and design a simple future state.

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.

Explore how to conduct a gemba walk to observe value-creating processes, identify pain points with empathy, and drive lean improvements through a structured, respectful checklist.

Apply the mistake proof concept (poka-yoke) to prevent defects, catch mistakes quickly, and reduce waste.

Learn to use design of experiments to test multiple factors, predict their impact on outcomes like gas mileage, and choose between full and fractional factorial designs to build predictive models.

Prioritize improvement ideas using a payoff matrix to balance impact and ease of implementation, and develop an actionable plan or project charter to guide near-term wins and long-term strategy.

Apply lean six sigma improvement strategies to analyze current versus future states, redesign restaurant, gas, and phone spend, and target a 20 percent saving with eight-month and annual savings projections.

Implement a clear control plan in the DOMA approach to sustain improvements through a continuous feedback loop, document changes via change management, and measure progress with tools like Sanaa shots.

Learn how to control and visualize process performance using control charts and visual management boards, distinguish common and special causes, set performance standards, monitor KPIs, and drive continuous improvement.

Identify the control subject, evaluate control points with charts, and implement a control plan with feedback loops and change management to sustain stable, continuously improving processes.

Onboard stakeholders from day one via stakeholder analysis, maintain involvement, and close the project by handing off a tested control plan, measuring benefits, and transferring ownership and celebrating successes.

Apply the control change framework to manage behavioral changes, build a control plan, and measure weekly restaurant and gas use to reach a 20% monthly saving target.