Statistical Process Control (SPC) – Basics and Beyond
Course Delivery: In-Person Training, Virtual Live Training, Training for Teams
In-Person Training consists of public classes conducted by one of our subject matter experts at one of our designated locations in one or more consecutive days.
Target Audience
Engineers, production-level workers, technicians, and anyone else who seeks a basic understanding of SPC along with use of the proven methods to improve quality.
Prerequisites
No prior background knowledge in statistics is required. Participants should bring a hand calculator for solving problems.
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
- Interpret process capability
Agenda
- Introduction to SPC
- Data Collection
- Problem Solving Techniques – Critical Thinking, Brainstorming, Flowcharts, Fishbone
- 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
- 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
- Rational Subgroups
- Process Capability Metrics
- Cr, Pr
- Cp, Pp
- Cpk, Ppk
- SPC use in
- Low volume production
- Failure Detection
Training Time: 16 hours
Continuing Education Credits (CEUs): 1.6
Our Virtual Live Training classes are conducted through an online platform by one of our subject matter experts in one or more sessions.
Target Audience
Engineers, production-level workers, technicians, and anyone else who seeks a basic understanding of SPC along with use of the proven methods to improve quality.
Prerequisites
No prior background knowledge in statistics is required. Participants should bring a hand calculator for solving problems.
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
- Interpret process capability
Agenda
- Introduction to SPC
- Data Collection
- Problem Solving Techniques – Critical Thinking, Brainstorming, Flowcharts, Fishbone
- 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
- 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
- Rational Subgroups
- Process Capability Metrics
- Cr, Pr
- Cp, Pp
- Cpk, Ppk
- SPC use in
- Low volume production
- Failure Detection
Training Time: 16 hours
Continuing Education Credits (CEUs): 1.6
Training for Teams provides training for your group of employees in either a virtual live setting, or in-person at your facility. Connect with us to customize any of our standard courses to fit your specific need.
Currently scheduled classes are shown below. If no classes are displayed, please contact QCTS for other options.