Tag: green-belt

Stability Factor is defined as Q1/Q3 (first quartile divided by third quartile). This ratio measures the relative position of the quartiles and indicates the degree of skewness in the distribution. Values less than 1 indicate positive skewness, while values greater than 1 indicate negative skewness.

A Team Charter includes Business Case, Problem & Goal Statement, Scope, Team Roles, Timeline, and Resources. COPIS (Customer-Output-Process-Input-Supplier) is a SIPOC variant used in process mapping, not a component of the Team Charter itself.

Technology Case focuses on shifting the process mean to target through technology solutions like automation, equipment upgrades, or process redesign. This differs from Business Case (reduce variation) and Both Case (reduce variation AND shift mean).

The House of Quality is the central matrix in Quality Function Deployment (QFD) methodology. It translates customer needs (Voice of Customer) into technical requirements and helps prioritize features. QFD is used in Design for Six Sigma (DFSS) and product development.

Linearity measures how consistently a measurement system performs across its entire operating range - from minimum to maximum values. It's the difference in bias at different measurement levels. Stability refers to consistency over time, Repeatability to same-operator consistency, and Accuracy to closeness to true value.

Chi-Square Test is used for discrete-discrete data relationships. It tests independence between categorical variables. Regression is for continuous-continuous, ANOVA for discrete-continuous (comparing means), and t-Test for continuous data with 1-2 groups.

Goal Statement explicitly defines the improvement objective with measurable targets (e.g., 'reduce defect rate from 15% to 5% by June'). Problem Statement describes current pain, Business Case justifies the project, and Project Charter contains all elements including the Goal Statement.

In Design of Experiments (DOE), the independent variables (inputs we manipulate) are called Factors. The dependent variable we measure is the Response. Levels are the specific values each factor can take during the experiment.

Failure Mode and Effects Analysis (FMEA) systematically identifies all potential failure modes, their causes, and effects on the system. It prioritizes risks by RPN (Risk Priority Number). PDCA is improvement cycle, Fishbone diagrams identify root causes, and Pareto analysis prioritizes frequency of issues.