Statistical Process Control (SPC)

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Description

Statistical Process Control (SPC) is an effective tool that helps teams and organizations manage and drive performance. 

The course focuses on how you can set-up and implement control charts in the work environment as means for effective process control.  It also includes an introduction to key concepts of process capability and performance assessment. 

You may bring their own organizational data during the course to learn and apply the tools to your organization and immediately realize the benefits of using SPC.

Topics:
  • Introduction to SPC
  • Normal Distribution
  • Central Limit Theorem
  • Basics of the Control Chart
  • Types of Control Chart
    - Control Chart for Variables
    - Control Chart for Attributes
  • Setting up the Control Chart
  • Analysis of the Control Chart
    - Tests for Special Causes
  • Assessment of Process Capability

Objectives

Upon completion of this course, you are expected to:
  • Understand the fundamentals of statistics and its manufacturing applications.
  • Formulate and apply Statistical Process Control in the work environment.
  • Utilize data collected for process characterization, process quality control, and continuous improvement.

Audience

This course is relevant to engineering, quality, manufacturing, and service personnel involved in product/process control and improvement as well as those who are interested to understand how statistical process control can be used to sustain quality in their own team or organization.

Course Pre-requisite:
A background in descriptive statistics and Quality Control (QC) tools would be ideal.


Note: SGS shall provide only generic information and advice which are freely available in public domain.
SGS will not provide company specific advice towards the development and implementation of the management systems for eventual certification, which contravenes the requirements of the IAF Guidance (i.e. provision of consultancy services).






View Details

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2 Days

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