A method using statistical techniques to monitor and control a process, ensuring it operates at its full potential.

Graphical tools used in SPC to display process data over time, helping identify trends, shifts, or any anomalies.

The ability of a process to produce output within specified limits, often measured using Cp and Cpk indices.

The process of inspecting, cleansing, and modeling data to discover useful information and inform conclusions.

Ongoing efforts to enhance products, services, or processes to meet or exceed customer expectations.

Quantifiable metrics used to evaluate the success of an organization in meeting its objectives.

A statistical method used to determine if there is enough evidence to reject a null hypothesis.

The practice of collecting data and attempting to discern patterns or trends over time.

The accuracy and consistency of data over its lifecycle, crucial for reliable analysis.

Identifying and assessing the influence and interest of stakeholders in a project or process.

The identification, assessment, and prioritization of risks followed by coordinated efforts to minimize their impact.

Plans to convey information effectively to stakeholders, ensuring clarity and understanding.

Practical uses of theoretical concepts in actual scenarios to solve problems or improve processes.

The graphical representation of data to help convey information clearly and efficiently.

Various techniques used to analyze data and draw conclusions about populations based on sample data.

Metrics that measure how well a process meets specifications, indicating its capability.

A detailed proposal outlining how to execute a project or strategy effectively.

An ongoing effort to enhance products, services, or processes through incremental improvements.

Interpreting the information displayed on control charts to make informed quality decisions.

Methods or techniques that have consistently shown superior results, serving as a benchmark.

A comprehensive document summarizing the objectives, methods, findings, and recommendations of a project.

Systematic efforts to enhance the efficiency and effectiveness of a process.

Making choices based on data analysis rather than intuition or observation.

Long-term strategies to maintain and enhance quality standards over time.

Outliers or unexpected results in data that may indicate issues within a process.