Statistical Process Control of Production and Service
Course Dates
*Prices do not include value added tax
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At the end of this course, the participants should be able to:
- Understand essential statistics terminologies
- Measure and analyze any type of data using descriptive statistics
- Recognize types and uses of control charts
- Create control charts for variables and interpret the results
- Create control charts for attributes and interpret the results
- Use SPSS to create control charts
- Measure and analyze process capability
- Understand types of sampling plans and acceptance samples
- Become familiar with Six Sigma methodology
- Fundamentals and Terminologies of Statistics
- Basic statistical definitions
- Data
- Population and sample
- Types of samples
- Descriptive statistics
- Measures of central tendency
- Measures of variation
- Distribution of data
- Using Charts for Process Control
- Concept of Process
- Check list
- Scatter diagrams
- Run charts
- Histogram
- Pareto diagram
- Cause and effect diagram
- Control Charts
- Concept of control charts
- Normal distribution curve
- Control charts for variables
- Control charts for attributes
- Process Capability
- Process capability concept
- Calculating process capability
- Improving process capability
- Acceptance Plans and Sampling
- Single sampling plan
- Double sampling plan
- Multi sampling plan
- Descriptive Statistics
- Quality Control
- Statistical Process Control
- Analytical Thinking
- Problem Solving
- Decision Making
- Measuring & Monitoring Performance
- Data Collection and Analysis
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This training course will be carried out through the use of best practices and the right combination of engaging and purposeful tools such as:
- Practical, relevant case studies
- Group activities and workshops
- Related role plays
- Experiential learning
- Brainstorming
- Stimulating mental activities
- Engaging team competitions
- Suitable training Videos
- Presentations
- Self-assessments
- Learning with Simulations and Games
All employees in the fields of operations, quality, operation planning and performance monitoring in the industrial and service sector, as well as technicians responsible for improving operational performance.