Statistical Process Control (SPC)

Course details

Statistical Process Control (SPC) is a powerful statistical tool on process monitoring and control to ensure conforming product delivered. As a continuous improvement tool, SPC measure and analyse the variation in processes and trigger process owners to take action to maintain and improve process stability and products quality.

This course will provide participants with an understanding of SPC including basic statistics and control chart introduction. The course will guide participants on SPC set-up & interpretation and Out of Control (OOC) analysis.

Programme Objectives

This programme aims to help a participant to:

1. Understand basic statistics behind SPC
2. Understand different types of control charts and interpretation of SPC
3. Understand how to perform Out of Control analysis and take valid corrective actions to prevent re-occurrence
4. Understand Process Capability analysis

Programme Outline

Unit 1: Introduction and Statistics Premier

• Introduction to SPC
• Basic Statistics
• Types of Data
• Central limit Theorem
• Variation and Specification

Unit 2: Control Chart

• Common elements of control charts
• Variable Control Chart
• Attribute Control Chart
• Subgroup selection
• Interpretation of SPC

Unit 3: Out of Control (OOC) analysis

• Data collection
• Measurement System Analysis
• Direct, contributing & real root cause analysis
• Solution and follow up activities

Unit 4: Process Capability Analysis

• Specification limits and Control limits
• Process capability Cp, Cpk, Pp & Ppk

Target Audience

Operators, engineers, supervisors, and managers who are involved in setting-up and interpreting control charts in their jobs.

Programme Benefits

At the end of the programme, a participant will be able to:

1. Understand the purpose of setting-up and applying SPC tools
2. Set up and interpret SPC control charts
3. Handle OOC properly to prevent re-occurrence
4. Calculate process capability indexes