Measure Phase

Process characteristics, data collection, measurement systems, basic statistics, probability, and process capability.

The Measure phase quantifies the current state of processes. It covers process flow metrics (WIP, WIQ, takt time, cycle time, throughput), process analysis tools (value stream maps, spaghetti diagrams, gemba walk), data types and measurement scales, sampling methods, and data collection plans. Measurement systems analysis includes Gage R&R, metrology, and calibration. Statistical foundations cover descriptive statistics, central limit theorem, graphical methods, probability distributions (normal, Poisson, binomial, chi-square, t, F, Weibull), and comprehensive process capability analysis including Cp, Cpk, Pp, Ppk, short-term vs long-term capability. (25 exam questions)
5 minutes 5 Questions

The Measure Phase is the second critical stage in the DMAIC (Define, Measure, Analyze, Improve, Control) methodology used in Lean Six Sigma Black Belt training. This phase focuses on establishing baseline performance metrics and collecting reliable data about the current process. Key objectives of…

Concepts covered: Addition and Multiplication Rules, Poisson Distribution, Touch Time and Cycle Time, Hidden Factory Concept, Process Mapping and Flowcharts, Qualitative vs Quantitative Data, Measurement Scales (Nominal, Ordinal, Interval, Ratio), Random, Stratified, and Systematic Sampling, Measurement System Analysis (MSA), Bias, Linearity, and Stability in MSA, Attribute Measurement System Analysis, Central Limit Theorem, Binomial Distribution, Descriptive Statistics (Dispersion and Central Tendency), Normal Probability Plots, Basic Probability Concepts, Independence and Mutually Exclusive Events, Conditional and Complementary Probability, Normal Distribution, Weibull, Exponential, and Lognormal Distributions, Process Capability Indices (Cp, Cpk), Process Capability for Attributes Data, Process Capability for Non-Normal Data, Throughput and Process Constraints, Gemba Walk, Continuous and Discrete Data, Sampling Concepts and Methods, Data Collection Plans and Integrity, Metrology and Calibration Systems, Population Parameters vs Sample Statistics, Graphical Methods (Box Plots, Histograms, Scatter Diagrams), Descriptive vs Inferential Statistics, Chi-Square, Student's t, and F Distributions, Process Performance Indices (Pp, Ppk, Cpm), Process Sigma Level, Short-Term vs Long-Term Capability, Process Flow Metrics (WIP, WIQ, Takt Time), Value Stream Mapping, Spaghetti Diagrams, Gage Repeatability and Reproducibility (R&R), Designing Process Capability Studies, Box-Cox Transformation, Natural Process Limits vs Specification Limits, PPM, DPMO, DPU, and Yield Metrics

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