Statistical Process Control – Smallpeice Enterprises

Statistical Process Control

Overview

This practical course provides practitioner training in how to control and improve process variation and performance.

It introduces control charts for both variable & attributes data, and explains how to use graphical techniques to analyse process variation. The course also provides practical advice on implementing SPC as a key element of continuous improvement in quality and productivity.

Course objectives:

To equip delegates with a clear understanding of the fundamental principles of statistical process control (SPC)
To provide a range of common control charts for both variables and attributes
To enable delegates to determine process capability and performance
To show how SPC can be used as an effective tool for continuous process improvement
To preview a selection of additional SPC techniques for special situations
To provide a framework for the effective implementation of SPC in the workplace

Course Content

Introduction to SPC

Key objectives of SPC
Using data for continuous process improvement
The limitations of specification-based systems

Facts From Figures

Sources, causes and types of variation
Pre-requisites to SPC – planning data collection and checking the measurement system
Graphical techniques for analysing process variation
Frequency distributions and the normal distribution
Process setting, variability and capability

Process Control and Improvement

Control charts and their applications
Control charts for variables (I-MR, X-Bar R, X -Bar s)
Control charts for attributes (P, NP, C, U)
Handling more than one characteristic
Preview of SPC techniques for special situations – Short Run SPC

Evaluating Process Capability

Capability analysis of variables data (Cp,Cpk,Pp,Ppk)
Capability analysis for Attribute data (PPM, DPMO)

Implementing SPC in the Workplace

Case study examples

In-company

Duration:

2 days

Ideal for group training

Customised per company

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