Statistical Process Control (SPC) is a method of quality control that uses statistical methods to monitor and control a process, ensuring that it operates at its full potential to produce conforming product. By analyzing process data through control charts, SPC helps identify variations that may indicate problems, allowing for timely interventions to maintain consistent quality.

Statistical Process Control

Quality control is a systematic process designed to ensure that products and services meet specified requirements and are consistent in quality. It involves the use of various techniques and tools to monitor, assess, and improve production processes, thereby minimizing defects and variations.

quality control

Statistical methods are a collection of mathematical techniques used for analyzing, interpreting, and presenting data to uncover patterns and relationships. They are essential in making informed decisions based on empirical data and are widely used across various fields such as science, business, and social sciences.

statistical methods

monitor and control a process

process data

Control charts are a statistical tool used in quality control processes to monitor, control, and improve process performance by plotting data points over time and identifying any variations from expected behavior. They help in distinguishing between common cause variations, inherent to the process, and special cause variations, which indicate external influences or changes in the process.

control charts

identify variations

timely interventions

consistent quality

conforming product

Cómo Calcular Cm y Cmk

How to Calculate and Interpret the D4 Chart

How to Calculate and Interpret a D4 Chart

Fundamentals of Lean Principles

Defining Lean and Six Sigma Principles

Fundamentals of Lean and Six Sigma

Identification of Inconsistencies

Interpretación de Resultados de Cm y Cmk

Conceptos Básicos y Fundamentos de las Gráficas de Control

Tipos de Gráficas de Control y sus Aplicaciones

Relevant Degrees

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