Control Chart

Description

This Excel file contains one or more Control Charts used for statistical process control (SPC). Control charts are essential tools in quality management and Six Sigma projects, helping monitor process stability, detect variations, and ensure that processes remain within acceptable limits over time.

Typical contents may include:

• Data Table: A structured dataset representing measurements of a specific process characteristic (e.g., time, weight, defects, temperature).
• Control Chart Types: Such as X̄-R, X̄-S, Individuals (I-MR), or attribute-based charts (e.g., p-chart, c-chart).
• Center Line (CL): The process average or mean.
• Upper and Lower Control Limits (UCL & LCL): Statistical boundaries indicating the expected range of variation.
• Chart Visualization: Line graphs or scatter plots showing process behavior over time.
• Out-of-Control Signals: Highlighted points or rule violations indicating special cause variation.

This file is typically used by quality engineers, process analysts, or Six Sigma professionals to assess process performance, identify trends, and support data-driven decision-making.