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Statistical Process Control for Quality Assurance Book Course

Course Duration

5 Days

Course Description

The basic premise of the course is to help managers and technicians understand the basic concepts of statistics and statistical process control. The course provides a basic understanding of continuous and discrete distributions and how these relate to building a complete statistical control system of a process or function (like a service function). The course will cover fundamental statistics (confidence intervals, hypothesis testing) as they apply to building process control systems.

It will cover the evaluation of and establishment of stability and capability of these process control systems. Once stability and capability are established then the basic concepts of how to design and build a control chart using three-sigma methods will be presented. Various methods for analysis of control charts and their associated systems will be presented. This is a hands-on workshop. The participants will use data prepared by the instructor as well as their own data to develop, test and examine the concepts presented in the workshop. Each student should bring a laptop computer with Win 2000 or higher.

Course Objective

After completing this course you will:

  • Understand the statistical concepts underpinning Statistical Process Control
  • Understand the effects of variation on processes and be able to use that understanding to make sound decisions
  • Be able to conduct Process Capability Studies and apply Control Charts in your workplace
  • Interpret the output of Statistical Process Control methods effectively, avoiding misconceptions and identifying opportunities for process improvement

Course Certificate

UMETTS certificate will be issued to all attendees completing all of the total tuition hours of the course.

Who Should attend?

Lab Heads, Supervisors & Managers, Technicians

Level of the Course:

Introductory: Attendees should have a basic statistics understanding. Attendees will need to have their own laptops with PC operating system of Windows 2000 or later. Software and example data files for the course will be provided.

Course Outline

  • Fundamental statistics
    • graphical distribution techniques
    • confidence intervals, hypothesis tests, comparisons
    • acceptance sampling techniques
  • Fundamental of Control Charts – stability and capability
  • Control charting
  • Building a process control system
  • Analyzing a control system (design of experiments)
  • A short historical summary
  • The principles of SPC:
    • How SPC increases the quality of manufactured goods
    • How SPC effectively monitors the production line and aids in production control
    • Variables Control Charts
    • Attributes Control Charts
  • How to set up a new SPC program:

  • Initial Data collection
  • Making the Control Chart
  • How to interpret SPC Control Charts:
    • Standard Chart Patterns
    • Chart Pattern Interpretation