Seta
The SPC course teaches how to monitor production processes through control charts and statistical analysis. The training enables professionals to identify unnatural variation patterns in a process and act preventively to correct them, continuously improving performance.

The objectives of this course are:
  • Teach the fundamentals and application of control charts.
  • Enable professionals to identify common and special variations within the process.
  • Improve process stability.

Without statistical control, problems are only detected after losses occur. This course demonstrates how to apply SPC to anticipate deviations, adjust processes, and reduce costs, ensuring consistent quality and greater competitiveness.

Público-objetivo

Professionals involved in managing and improving processes and products

Requisitos

No pre-requisites.

Duracíon

4 or 8 hours

Formatos

In-person and Online

Contenido

Basic Structure:

Introduction

  • View and process management
  • Basic statistics: revision of position measurement concepts including average and median, and dispersion including standard deviation and amplitude
  • Discrete data and variables in statistical process control
  • Concept of statistical control charts
  • Concept of process stability
  • Stable and unstable processes
  • Common causes and special causes of variation
  • How to collect data for use in control charts
  • Creation of statistical process control charts
  • Calculation of control limits
  • Criteria for defining process instability
  • Actions to take when instability is identified using an action plan with 5W1H
  • Control limits versus specification limits
  • Control charts for discrete and variable data
  • Implementation exercises
  • Group activity: participants analyze and interpret real client control charts and present results to other groups
Workload:

8 hours

Pre-Work:

Prepare and send to SETA databases from the involved processes

Note:

There is the option to use Minitab or Action software for statistical analysis