Lean Six Sigma Green Belt - A comprehensive course

Explore the define phase of Six Sigma, identify the right project and stakeholders, capture customer requirements, and set smart, measurable goals with a clear project charter via VOC.

Translate the voice of customer into CTQ goals, analyze voice of process, and apply cost of poor quality (COPQ) to drive six sigma projects and reduce failures.

Drill down CTQ to quantify customer needs and set performance targets, map high-level processes with SIPOC, and define a Six Sigma project charter with SMART goals.

Build a cross-functional six sigma team with a champion and belt roles. Use tollgate reviews to advance through the measure, analyze, improve, and control phases.

Establish the baseline in the measure phase by using an operational definition, process mapping, and measurement system analysis to collect accurate data and monitor the primary and secondary metrics.

Explore flow charts and cross-functional flow charts, value stream mapping, and metrics like lead time, process time, setup time, and waste, with examples from ordering and production processes.

Define value from the customer’s perspective and classify activities as value adding, non value adding, or necessary to identify wastes and what the customer is willing to pay for.

Explore data types in Six Sigma—quantitative and qualitative, discrete and continuous, nominal, ordinal, and binary—and learn to craft a data collection plan with operational definitions and sampling.

Learn how to define a target population and select a representative sample using probability methods such as simple random, stratified, cluster, and systematic sampling, while recognizing biases in non-probability approaches.

Explore measurement system analysis to assess data accuracy and precision, distinguishing repeatability and reproducibility, bias, stability, and linearity, and apply the AIG 2002 acceptability guidelines.

Explore core statistics by examining measures of central tendency and variability, including mean, median, mode, range, interquartile range, mean deviation, variance, and standard deviation.

Explore the normal distribution and its standard form, learn how to compute Z scores using Z = (X − μ)/σ, and apply the 68–95–99 rule to real-world data.

Establish the baseline performance in the measure phase, defining the current state and defects. Use run charts to assess process stability, trends, shifts, and the mean and standard deviation.

Assess process capability and Cp to determine if a Six Sigma process meets customer requirements within specification limits. Use capability analysis to compare processes and evaluate defects per million opportunities.

Compute and interpret the process capability index Cpk, Cpu, and Cpl. Explore how Sipi K measures center shift and relates to sigma levels, with a restaurant temperature example.

Explore how yields multiply across a three-step process to produce 97 percent output, and learn DPMO as defects per million opportunities with a 40 invoice example across four attributes.

Identify root causes using Ishikawa diagrams and the five whys in the analyze phase, supported by data stratification, FEMA, correlation and regression, and gap analysis to improve process performance.

Explore brainstorming for problem solving in Six Sigma, prioritize high-payoff, low-difficulty ideas, and use data stratification with check sheets to reveal patterns by what, when, where, and who.

Learn FMEA, a system for analyzing design, product, or process failures and reducing risk. Identify failure modes, effects, causes, and detectability, and apply actions to mitigate risks.

Explore practical illustrations of FMEA, including identifying failure modes, assessing severity, occurrence, and detection, calculating the RPN, and planning mitigations to reduce risk for Lean Six Sigma Green Belt learners.

Explore how correlation measures strength of relationship between inputs X and output Y in Six Sigma's analyze phase, using the correlation coefficient r to identify strong, weak, or no correlations.

Explore regression analysis to define the relationship between output and input, for Six Sigma Green Belt, focusing on simple linear and multiple linear regression, with scatterplots and a best-fit line.

Identify root causes from phase and generate improvement ideas in EMAC. Use Scamper, mind mapping, brainstorming, and six thinking hats to benchmark against best practices and select implementable solutions.

Learn how the five pillars of 5s—sort, set in order, shine, standardize, sustain—use visual management to reduce waste and boost productivity, and analyze push versus pull systems.

learn how smed, a lean management tool by shigeo shingo, enables rapid changeovers and boosts capacity, with steps to convert internal tasks to external ones.

Learn how Kaizen drives a culture of continuous improvement through focused Kaizen events or blitz, rapid one-week projects, and a staged rollout from piloting to full-scale implementation.

Apply the control phase to ensure improvements hold, using standard operating procedures, process control charts, and mistake-proofing to monitor performance and meet customer specifications.

Distinguish common cause variation, inherent and stable, from special assignable causes that are external and must be controlled, and apply SPC with a three-sigma control chart.

Identify what to measure and control, determine rational subgroups and sample size, select the appropriate control chart, set the center line and control limits, and act on out-of-control signals.

Learn to select charts for variable data using x-bar and r charts for subgroups, or x-bar with moving range for individuals, and compute limits with A2, D3, and D4.

Construct and interpret variable and discrete data control charts, distinguish defect from defective, and apply p-chart limits to monitor proportion defective across varying sample sizes.

Explore poka-yoke as the most effective process control, preventing errors through design and detection when prevention isn’t possible, with examples from everyday devices and services.

Benefit from a valuable Lean Six Sigma Green Belt learning experience that builds a solid foundation for process excellence, knowledge enhancement, and the creation of impactful courses for better professionals.