Statistical Process Control (SPC) and Basic Statistical Process Control in Excel

Date/Time

Date(s) - August 8, 2018
8:00 am - 4:00 pm

Location
EDC of Elkhart County

 

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 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 interpret Cpk values.

SPC in Excel

Statistical process control (SPC) involves using statistics – numbers and data – to measure and control the quality of a process. In this workshop, which includes numerous hands-on activities, you’ll learn how to use Excel to perform basic SPC calculations and create histograms, run charts, control charts, and Pareto charts.


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