Course Overview
This 2-day course is designed for semiconductor manufacturing employees to better understand SPC, control charts and the impact on quality and business. The course will teach the basics of creating control charts, implementing them into production and appropriate action for out of control conditions.
Students will gain a general knowledge of the Statistical Process Control (SPC) methodologies for semiconductor manufacturing. Students will learn the principles of SPC, how to implement SPC, how SPC increases quality, how SPC effectively monitors the production line and aids in production control.
What the Course Covers
SPC Fundamentals
- Pre-test of SPC knowledge
- Introduction to SPC and terms
- Benefits of SPC manufacturing and impact to quality
- Normal distributions and the bell curve
- What is 6 Sigma
Process Capability Analysis
- Cp and Cpk calculations
- Calculation of Sigma and determining control limits
- Gage Capability – Team Exercise "Bean Counter"
- Process capability interpretation
Data Types and Analysis
- Types of data (Variable, Attribute)
- Control charting of variable data and out of control conditions
- Attribute data, binomial distributions and histograms
- Brief Exercise – Coin Flip
Control Charts Implementation
- How to read variable control charts
- Attribute control charts
- How to set up a new SPC program
- How to start initial data collection
- Make a control chart
- How to interpret SPC control charts
- Standard chart patterns
- Chart pattern interpretation
Course Assessment
- Review of key concepts
- Final Test
- Practical applications discussion
Learning Outcomes
- Understand the principles of SPC and how to implement SPC
- Learn how SPC increases quality
- Understand how SPC effectively monitors the production line and aids in production control
- Learn to read and interpret variable and attribute control charts
- Gain knowledge of setting up new SPC programs
- Understand standard chart patterns and their interpretation
Who Should Attend
The course level is introductory and non-technical. Some familiarity with manufacturing processes is helpful but not essential. The target audience includes:
- Fab operators and manufacturing operators
- Manufacturing supervisors
- Process engineers and process technicians
- Maintenance technicians and equipment engineers
- Quality control and assurance personnel
- Sales/marketing staff and customer service personnel
- Field service engineers and technical support personnel
- Everyone interested in understanding the fundamentals of Statistical Process Control (SPC) methods
- Anyone who would like to know more about what their SPC software package is actually doing for them