Certified Lean Six Sigma for Champions CLSSC

Explore Lean Six Sigma, defining, measuring, analyzing, improving, and controlling processes to reduce waste and variation, and learn how Lean and Six Sigma synergize for champions and emerging business leaders.

Explore lean six sigma concepts, sigma levels, and yield improvements from recognize to realize. Learn roles, tollgates, and score events guiding projects.

Learn the define phase prep, project scoping, and chartering, guided by the champion and the business quality council, using metrics and tools like balanced scorecard and theory of constraints.

Explore how champions drive project prioritization through city metrics (critical to internal and external customers), establish baseline process metrics, and define objective statements in early Six Sigma deployment.

Define phase of Lean Six Sigma centers on project scoping and defining the business problem with a project definition worksheet, metrics, and scope led by the champion.

Define phase teaches how to scope lean six sigma projects, set primary and secondary metrics, establish baselines, and craft problem, objective statements and the project charter.

Explore the balanced scorecard and ABC (activity-based costing) to align the four quadrants—finance, internal business process, learning and growth, and customer—for improved strategic performance.

Explore activity-based costing by comparing setup and production costs, revealing how ABC allocates overhead more accurately and lowers per-unit costs as batch size grows.

Explore economic value added (EVA) and its economic profit formula: nopat minus cost of capital. Study the theory of constraints with five focusing steps and buffer management to improve throughput.

Learn to capture voice of customer, voice of business, and voice of employees, and translate insights into a CMB matrix for project prioritization using Excel.

Explore the Pugh matrix, affinity diagram, and Pareto charts to compare alternatives and weigh criteria, using QFD and SPC run charts for data-driven decisions.

Apply affinity and tree diagrams to organize ideas, derive measurable customer requirements from voc, prioritize features, and link them to process performance with a call center example.

Apply the sipoc process map while using fishbone diagrams to identify root causes, and implement cycle time analysis and time and motion study to improve efficiency.

Leverage the sipoc diagram as a high-level process map to identify suppliers, inputs, process, outputs, customers, and requirements before initiating a Six Sigma project, illustrated by a dealer example.

Explore the measure phase of Lean Six Sigma, covering basic statistics, data types, populations and samples, and measures of central tendency, spread, and shape, plus a capability analysis case study.

Examine discrete versus continuous data in the measure phase, including nominal and ordinal types, and apply measures such as mean, min, max, standard deviation, and box plots to summarize datasets.

Explore data types and the distinction between population and samples, including discrete, continuous, binary data, and the role of sampling, central tendency, spread, and distribution in statistical analysis.

Explore data types, from continuous and discrete to ordinal, nominal, and binary, with examples like speed and cycle time. Learn probability sampling including simple random, systematic, stratified, and cluster sampling.

Explore central tendency measures—arithmetic mean, geometric mean, and frequency mean—along with median and mode, noting how extreme values distort the mean and guide method choice.

Explore how central tendency, spread, and shape define data, using frequency distributions, range, variance, and standard deviation. Examine distributions such as normal, Poisson, binomial, uniform, and exponential.

Learn how histograms represent frequency distributions, with binning, normalization, and adjacent bars, and explore the normal distribution, central limit theorem, and variance reduction in Six Sigma.

Explore the normal distribution as the key continuous probability distribution, highlighting mu and sigma, the three-sigma rule, and compare it with Poisson and binomial distributions in Lean Six Sigma.

The Philips case study shows applying lean six sigma to consumer lifestyle sales and marketing, leveraging customer insights for data-driven campaigns and delivering significant cost savings and ROI.

define a robust data collection plan and define as is for the measure phase, detailing goals, operational definitions, and methodology to ensure repeatability, reproducibility, accuracy, and stability.

Explore measurement system analysis (msa) to separate true process variation from measurement error, evaluating bias, accuracy, precision, repeatability, reproducibility, calibration studies, and linearity across cross and nested designs.

Analyze phase of lean six sigma converts practical problems into statistical questions using tools like anova and regression, and applies hypothesis testing to identify root causes.

Explain hypothesis testing concepts such as alpha, type I error, beta, type II error, p-values, and power, and match tests to data types.

Match input types (continuous or discrete) with graphical analyses (scatter diagram, histogram, box plots) and statistical tests (t, z, chi-square, ANOVA) across regression and logistic models.

Compare means using one-sample z and t tests, two-sample t tests, and nonparametric tests like Mann-Whitney and ANOVA, while exploring power, sample size, and normality assessments.

Explore nonparametric tests including Mann-Whitney, one-way and two-way ANOVA, Bartlet's test, and chi square for proportions, with practical examples on hypothesis testing and confidence intervals.

Explore scatter diagrams, correlation analysis, and regression analysis, including simple linear regression and multiple linear regression, and interpret correlation coefficients, R squared, and model fit.

Advance the improve phase of Six Sigma by prioritizing x factors, designing pilot tests, and implementing validated solutions with risk analysis and full-scale control.

Learn to benchmark objectively using external reviews and audits, with structured brainstorming and six thinking hats to generate innovative, bias-free improvement ideas across internal, external, and international benchmarking.

Explore solution evaluation techniques such as PwC metrics, Delphi, multi voting, nominal group technique, and design of experiments to optimize criteria and compare alternatives.

Learn to design and analyze full factorial experiments with two-level factors, treatment combinations, blocking, and repetition versus replication to understand main and interaction effects for improvement.

Learn to design experiments from trial and error to full and fractional factorial designs, enabling screening, characterization, and optimization through a structured seven-step roadmap.

Construct a three-factor full factorial design with central points and blocks, run eight experiments, configure numeric and text factors, and interpret design outputs for improvement phase.

Determine power and sample size for a three-factor full factorial design with 90% power and two replicates, using mini tab to interpret potato charts and session window.

Explore model reduction, main effects plots, and interaction plots to optimize customer satisfaction by analyzing speed, quality, and service.

Analyze yield by examining time, temperature, and catalyst using a two-level factorial design, identify main effects and interactions, and prepare a pilot plan before full-scale implementation.

Explain the control phase, detailing the control plan, SOPs, training, and change management, then build control charts to monitor processes and reanalyze measurement systems for sustained Six Sigma gains.

Apply control charts to assess process stability by using the IMR chart for individual measurements, perform an Anderson-Darling normality test, and confirm mean and control limits indicate an in-control process.

Apply x-bar charts and s/range charts in lean six sigma to assess process variation and mean within control limits, using a snack foods packaging example and step-by-step mini tab instructions.

Explore control charts for continuous data with x-bar and range charts, emphasizing subgroup size and range-first assessment. Build p, np, and c charts for attribute data and interpret out-of-control signals.

Learn to configure a three-factor full factorial design with eight experiments, including central points and blocks, define low and high levels, and interpret speed and quality outputs.

Recognize phase identifies and prioritizes problems and opportunities, with champions leading and handing projects to black belts, and aligning leadership and change management for Six Sigma benefits across business verticals.

Identify and prioritize Lean Six Sigma projects using control and impact metrics, scope and define primary metrics, baselines, and targets, and prepare champions and belts for project execution.

Recognize phase part 2 guides champion-led project selection and scoping, and defines the project definition worksheet with business problem, scope, and process metrics.

Discover lean management fundamentals, including value, value stream mapping, flow, and pull systems for continual improvement. Explore tools like mistake proofing, kanban, and single-piece flow while identifying eight wastes.

Discover lean's five principles, value creation, waste elimination, and continuous improvement, and see how lean applies beyond manufacturing to banks, healthcare, and telecom, with Kaizen and Kaikaku improvements.

Learn design for six sigma (dfss) and the dmadv approach to define, measure, analyze, design, and verify, delivering customer-focused, data-driven processes with minimal variation.

Review toll gate outcomes to decide whether to proceed, cancel, or reschedule projects as relevance shifts, and apply dfss dmadv using a catheterization recovery unit example.

Develop change management skills by preparing for change, leading and communicating it, building awareness, and aligning stakeholders with a shared need, vision, and commitment.

Establish urgency, build a compelling case for change, and apply the Q x A equals effectiveness concept. Shape vision, manage stakeholders, and craft an elevator pitch to mobilize commitment.

Learn to identify and manage technical, political, and cultural resistance through listening, training, and mentorship; apply ABC analysis, stakeholder management, and continuous measurement to sustain change.