Statistical Process Control (SPC)

Download PDF 99

Can't find a scheduled time that works for you? Submit an event request and we will keep you updated when new times become available.

Submit Event Request

Description

Event Details

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 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. 

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 control charts.  
  • Explain the differences between common cause variation and special cause variation. 
  • Use a control chart to identify if special cause variation is present. 
  • Explain the concept of process capability and how it is measured.

Appropriate For

Individuals in manufacturing and quality roles who have existing knowledge of mathematics for manufacturing, quality tools, and quality concepts.

 

 

NIST

Purdue Manufacturing Extension Partnership, 8626 E. 116th Street, Suite 200, Fishers, IN 46038-2815, (317) 275-6810

© 2017 Purdue University | An equal access/equal opportunity university | Copyright Complaints | Maintained by Manufacturing Extension Partnership

Trouble with this page? Disability-related accessibility issue? Please contact Manufacturing Extension Partnership at tapmep@purdue.edu.