Fundamentals of Statistical Process Control (SPC)
COURSE OBJECTIVES
This Statistical Process Control (SPC) course presents a number of valuable tools to assist you in evaluating process variation and to make sound decisions based on your data. Topics covered included the following:
- Pareto Charts and Check sheets for failure and Visual Data
- Histograms for understanding variation in measurable data
- Variables and Attribute Control Charts (including p Charts)
- Process Capability and Yield Determination Studies
- Correlation Studies with Guard-banding
- Interpretation and Corrective Action including Out-Of-Control guidelines
- Correlation and Regression
LEARNING OBJECTIVES
Upon completion of this course, participants will be able to do the following:
- Perform Yield Determination Studies
- Construct p, NP, and C Charts for attribute process control
- Be able to construct Ave. and Range control charts for variables data
- Construct 90 and 95% Confidence
- Distinguish between Process Control and Process Capability
- Perform a Correlation Studies and interpret results
WHO SHOULD ATTEND
This course is intended for those involved in manufacturing process and test who want a better understanding of statistics in the manufacturing process for the purpose of making better decisions.
OUTLINE
INTRODUCTION TO SPC
- Benefits of Metrics and SPC
- SPC Tools and Implementation Strategy
PROBLEM SOLVING TOOLS Identifying/Defining Problems
- Cause and Effect Diagrams (Fishbone)
- Check Sheets
- Pareto Analysis using Excel with Excel
DESCRIPTIVE STATISTICS
- Measures of Central Tendency and Variation
- Histograms and Specification Limits with exercise using Excel
- SPC vs. Process Capability
PROCESS CAPABILITY AND YIELD STUDIES
- “Central Limit Theorem”
- Cp and Cpk Indices – A Practical Approach
- Yield Determination & Improvement
