Statistical Process Control (SPC)

Statistical process control (SPC) involves using statistics - numbers and data - to measure and control the quality of a process. Manufacturers use SPC to reduce reject rates, save money and time, and ultimately consistently deliver products that meet customers' requirements. In this all-day workshop, which includes numerous hands-on activities and realistic examples, you'll learn about SPC concepts that you can easily apply to your everyday work in manufacturing or quality.


Course Objectives:

  • Define statistical process control and explain why companies use it to control quality
  • Calculate measures of central tendency and variability
  • Create and interpret histograms
  • Describe the elements of a control chart, including the process location and control limits
  • Explain the difference between control limits and specification limits
  • Create and interpret I/MR and Xbar & R control charts
  • Calculate control limits for control charts
  • Explain the differences between common cause variation and special cause variation
  • Identify if special cause variation is present in a control chart
  • Define process capability and explain how it differs from statistical control
  • Calculate and interpret capability indices, including Cpk, Cp, Ppk, and Pp


Recommended Background

  • Recommended for individuals in manufacturing and quality roles who:have existing knowledge of mathematics for manufacturing, quality tools, and quality concepts.
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Course ID

99999924

Skill Focus

Smart Business

Instructor(s)

Purdue University MEP

Employee Type

Leadership, Change Leaders, 1st Level Supervisor

Method of Delivery

Face to Face

Estimated Effort

8 hours

Cost

Negotiable