Basic Statistical Process Control (SPC)

Course details

The purpose of this program is to improve product quality and reduce production cost by applying statistical process control techniques.

The training program is an introduction to SPC implementation and focus on thasics.

This course describes the following elements of SPC implementatione b:

• Identify the opportunity for process improvement
• Perform measurement repeatability and reproducibility study
• Perform process capability study
• Create a process control and monitoring system

Course Objectives

• The objective of this course is to motivate you to use statistical tools to reduce variation and improve processes, increase your confidence in using statistical tools in decision making and familiarize you with the process for SPC implementation.

Course Outlines

Module One – Introduction

• Product Quality Evolution
• Historical Background
• Definitions
• Concept of Product And Process Control
• Benefits Of SPC

Module Two - Nature of Variation

• Concept Of Variation
• Cause And Sources Of Variation
• Key Point On Nature Of Variation
• Deming's View Of System
• Four States Of A Process

Module Three - Deriving Information From Data

• Fundamental Statistics
• Definitions
• Concept & Type of Data
• Descriptive Statistics
• Histograms
• Normal Distribution
• Area Under Normal Curve
• Empirical Rules

Module Four - Process Capability

• Purpose & Definitions
• CP, CPK And PPM

Module Five - Process Control For Variable Data

• Stable Process vs Capable Process
• Variable Data Definition
• X-bar R Chart
• X-bar S Chart
• MR Chart

Module Six - Process Control For Attribute

• Definition Of Attribute Data
• p and np Chart
• u And c Chart
• Module Seven - SPC Implementation Process
• Wrap-Up & Discussion