Passionately developing careers since 1958.
Applying Statistical Process Control (SPC), Process & Performance Capability and 7 Quality Control Tools

Applying Statistical Process Control (SPC), Process & Performance Capability and 7 Quality Control Tools

Why Attend

Understanding how your organization’s processes operate is critical for delivering quality products and services to your customers. In this course, we will explain the statistical tools needed to understand processes and present opportunities for improvement visually and statistically. In addition, we will present the indices used by leading organizations to measure process capability and discuss the application of the 7 quality control tools and their benefit to organizations.

Quick Enquiry Call Me Back
Course Objectives

By the end of the course, participants will be able to:

  • Understand and apply SPC concepts and the 7 quality control tools
  • Apply SPC through control charts to identify and reduce variation  
  • Discuss process capability and understand why it is necessary to sustain business improvement
  • Calculate sigma level, Cp, Cpk, and explain the capability of processes where output is normally distributed
  • Analyze data using various tools in Minitab
Target Audience

Managers, supervisors, and professionals who wish to fully utilize SPC concepts and process capability in their organizations and learn how PSC relates to work and business improvement.

Target Competencies
  • SPC
  • Problem-solving skills
  • QC tools
  • Process performance
  • Process capability
Course Outline
  • Improvement tools and methodologies: The 7 QC tools
    • What is a quality tool?
    • The 7 quality control tools
    • Cause and effect diagram, check sheet, control charts, histogram, Pareto chart, scatter diagram, and stratification
  • Statistical process control and control charts
    • What is SPC?
    • Causes of variation: Special and common
    • SPC charts
    • What is a control chart?
    • Benefits of control charts
    • Control charts and stability 
    • Types of control charts: Choosing a control chart
    • Constructing a control chart 
    • Reading a control chart: Control chart pattern interpretation
    • Comparing control charts before and after improvement
  • Process and performance capability
    • Voice of customer and voice of process
    • Normal and non-normal distribution
    • What is process performance?
    • Tolerances or specifications
    • Computing Cp and Cpk
    • Improving process capability
    • Comparing process capability before and after improvement
Schedule & Fees