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