Certified Six Sigma White Belt

Translate the voice of the customer into critical-to-quality requirements for on-time delivery and hot pizza. Set CTQ targets and measure order time and pizza temperature to ensure delivery performance.

Explore variation and the normal curve with a travel-time example, showing how the bell curve centers on the mean and defines ranges of variation by standard deviations for Six Sigma.

Learn how defects per million opportunities (DPMO) provides a precise quality measure by comparing defect opportunities across products, using markers and notebook PCs as examples.

Identify potential Six Sigma projects using a data-driven checklist that screens recurring performance gaps, KPIs, and customer feedback, then prioritize them with senior management given limited bandwidth.

Identify the Six Sigma team roles: the champion, the project leader, and the team members, and learn how senior management authorizes and selects the best players to drive project success.

Define the project by the problem and goal, set a measurable target and timeframe, and prepare the project charter with SIPOC, signpost, and support diagrams.

Develop recurring, chronic, specific, and measurable problem statements and SMART goal statements for Six Sigma projects. Aim to raise first call resolution and customer satisfaction within four months.

Complete the project charter for a Six Sigma project, detailing the project name, problem and opportunity statements, smart goals, key metrics, scope, milestones, and signatures to authorize and guide.

Learn how the measure phase defines problem size and how pervasive the issue is, using y=f(x), validates measurement systems, and uses a data collection plan to measure pizza crust.

Map the current get up and go to work process with a process map to visualize the morning routine, identify delays, involve process participants, and validate findings to improve timeliness.

Learn to plan data collection for a Six Sigma project by defining questions, selecting tools, and establishing data type, amount, and timing to guide the measurement phase.

Understand continuous versus discrete data and apply the right graphs. Use histograms and dot plots for continuous data, and Pareto and bar charts for discrete data.

Master measurement system analysis (MSA) to ensure data validity from devices, operators, and data collection methods. Maintain repeatability and reproducibility to avoid garbage in, garbage out across data types.

Explore process capability and sigma level through a delivery example, showing how 16% defects and a 24-hour upper limit affect yield and signal level.

Identify the root causes in the analyze phase by listing and validating key X factors that affect Y, using brainstorming, fishbone diagrams, a data collection plan, and data-driven tests.

Learn to use the cause-and-effect diagram, the Ishikawa fishbone, to brainstorm and organize potential causes, select plausible axes, and validate facts in Six Sigma projects.

Learn how to test hypotheses with data and the scientific method, deciding if evidence supports or disproves a theory, illustrated by a pizza crust temperature example and a cause-and-effect diagram.

Plan and execute data collection for the analyze phase by formulating hypotheses, selecting appropriate tests, and detailing when, where, and from whom to collect data to validate key causes.

Use bar and pareto charts to identify crust issues by location, and histograms and box plots to analyze oven temperature variation for the six sigma analyze phase.

Analyze process maps to identify bottlenecks, value added steps, value enabling steps, and non-value added steps, and examine why delays occur and how to shorten rework loops.

Explore the improved phase of a Six Sigma project, generating, evaluating, and implementing solutions with process maps, FMEA, pilot testing, and design of experiments to optimize pizza crust settings.

Generate and evaluate solutions through brainstorming and Six Thinking Hats, shortlist with multi voting and two-by-two matrices, and assess options using design of experiments, criteria selection matrix, and cost-benefit analysis.

Learn how failure modes and effects analysis (fmea) reduces process risk in six sigma projects by evaluating severity, occurrence, and detection to prioritize improvements via the risk priority number.

Master mistake proofing, or error proofing, by preventing errors first, then facilitating work, and finally detecting them automatically or immediately within the improve phase of a Six Sigma project.

Pilot test improvements on a small scale to validate solutions, collect data, and resolve issues before a full rollout, while planning communication, training, and budgeting for a smooth deployment.

Establish a control plan in the control phase to monitor and sustain the improved Y by regulating key X factors, with process owners and clear intervention rules.

Learn to use SPC and control charts to distinguish random variation from true issues and know when to intervene, not react to everyday fluctuations.

Define the control plan as the blueprint for sustaining long-term performance with clear controls. Specify the control subject, target range, hourly measurements, who monitors, and who has authority.