Length: 2 Days
Statistical Process Control Training, Statistical process control (SPC) course
Statistical process control (SPC) training course introduces key concepts behind SPC or statistical process control, a statistically-based family of tools used to monitor, control, and improve processes.
Participants of Tonex’s statistical process control training will learn about the details of SPC, control charting, other procedures and tools to apply them in their projects. Applicable statistical process control (SPC) techniques and methods are examined used to improve various processes to achieve higher percentage yield and higher quality products or services including: key process parameters, quality KPIs and characteristics, measurement systems, various sampling strategies, popular variable and attributes control, construction and applying different control charts, moving average charts, c charts, np charts, p-charts, u-charts, x-bar and R-charts.
Who Should Attend
Statistical process control (SPC) training course is designed for engineers, quality managers, operators, project managers, product process control, analysts, quality process, improvement associates, inspectors a technician who need to learn and apply statistical process control (SPC) concepts in their projects.
Prerequisites
None
Learning Objectives
Upon completion of Statistical process control (SPC), participants will be able to:
- Identify basic Statistical process control (SPC) terminology and key principals
- Explain how SPC integrates into the total quality system
- Recognize variation in manufacturing processes such as patterns and measures of variation
- Learn about data collection, control charts and their constructions
- Learn about techniques and tools to implement statistical process control
- Recognize the fundamentals of process sampling strategy
- Differentiate methods and tools to implement and assess SPC
- Select and use recommended SPC practices
Course Agenda and Topics
What is Statistical process control (SPC)?
- Introduction Statistical Process Control (SPC)
- Definition and organization of Statistical Process Control
- Statistical techniques to control a process or production method
- SPC tools and procedures
- Tools to monitor process behavior
- Discover issues in internal systems
- Find solutions for production issues
Introduction to Process Variation
- What is process capability
- Measuring process capability
- What is process variation?
- Measuring Variation
- Patterns of Variation
- Measures of Variation
- Normal Curve
- Stability
Control Charts
- SPC tools and control chart
- What are Control Charts?
- What control charts are and why they are used.
- Interpreting control charts
- Types of control charts
- Using variable control charts
- Using attribute control charts
- Record data and unusual events
- High or low observation and “typical” process performance
- Methods to distinguish between types of process variation
- Common cause variation
- Special cause variation
- Statistical quality control (SQC)
- SQC vs SPC
- Application of the 14 statistical and analytical tools (7-QC and 7-SUPP)
- Ways to monitor process outputs (dependent variables)
- Acceptance sampling
7-QC Tools
- Cause-and-effect diagram (also called Ishikawa diagram or fishbone diagram)
- Check sheet
- Control chart
- Histogram
- Pareto chart
- Scatter diagram
- Stratification
7-SUPP Tools
- Data stratification
- Defect maps
- Events logs
- Process flowcharts
- Progress centers
- Randomization
- Sample size determination
The Relationship Between Statistical Quality Control and Statistical Process Control
- Design of experiments (DOE)
- Analysis of variance (AOV or ANOVA)
- Basic math skills
- Data and control charts
- Troubleshooting using SPC
- Process capability concepts
- Data reporting and SPC reporting
- Control chart limits
- Process sampling strategy
- Cumulative Sum (CUSUM) charts
- Exponentially Weighted Moving Average (EWMA) charts
Statistical process control (SPC) Workshop
- Quality planning
- Calculating standard deviation
- Normal distribution
- Causes of variation
- Using Control charts
- Methods of measurement and measurement systems
- Measurement system capability
- Sampling Strategy
- Sample size, frequency and structure
- Working with variation and control charts
- X-Bar and R chart
- X-bar and standard deviation chart
- IX and Moving Range chart
- P-chart
- np-chart
- c-chart
- u- chart
- Binomial control charts
- Pareto chart
- Scatter chart
- Interpreting control charts