Statistical Process Control
The purpose of this course is to provide practical instruction on the fundamental statistical tools used in modern process control methods.
Statistical Process Control
This course covers data collection, control charts, and process capability analysis to improve process performance. With hands-on exercises and real-world applications, participants learn practical SPC methods for quality control.
Course Objectives
- Describe the purpose of SPC
- Understand the quality tools used to solve problems determined by SPC and the data collection process
- Apply fundamental SPC concepts
- Calculate basic statistical parameters
- Construct and interpret variables and attribute control charts
Target Audience
- Engineers
- Production-Level Workers
- Technicians
- Anyone who seeks a basic understanding of SPC
Agenda
- Overview of fundamentals of SPC
- Data Collection
- Fundamental Statistical Concepts – Measurements of central tendency and variability
- Descriptive Analysis of Data Pareto, Histogram Scatter Plot Run Chart
- Control Charts for Variables Data Average/Range charts Average/Standard Deviation charts Average/Moving-Range/Sigma charts Run Tests Individuals Charts Out of Control Signals
- Control Charts for Attributes p, np, c, and u Charts
- Preparing and Analyzing Charts – use of Excel and software Common Vs Assignable Causes
- Process Capability Introduction to metrics used
Course Delivery
- In-Person Training
- Training for Teams
- Virtual Live Training
Prerequisites
- None
