INTRODUCTION FOR STATISTICAL PROCESS CONTROL
SPC or statistical process control is a statistically-based family of tools used to monitor, control, and improve processes, has become an important business strategy for many organizations; manufacturers, distributors, transportation companies, financial services organizations; health care providers, and government agencies. Quality is a competitive advantage. A business that can delight customers by improving and controlling quality can dominate its competitors. SPC is a technical method for achieving success in quality control and improvement.
COURSE OBJECTIVES
At the end of the course participants will be able to understand and know:
- What is Statistical Process Control
- Understands the advantages of SPC
- Knows the statistical background
- Is able to calculate control limits and capability indices
- Understanding of problem-solving methods and prevention-based quality assurance
- Understanding variability
- Use of check sheets, cause and effect diagrams, and flow charts
- Selection, construction and interpretation of various control charts
- Interpretation of SPC results
- Construction and interpretation of histograms, Pareto charts, run charts, and scatter diagrams
COURSE CONTENT
Module 1: What is SPC
- What is Statistical Process and Control
- Benefits of SPC
- Customer view
- History of Quality Methods
- What is Process Capability
- Stability vs Capability
- Area of SPC usage
- Continuous Improvement
Module 2: Basic Tools of Problem Solving
- Pareto Analysis
- Flow Charts
- Cause and Effect Analysis
- Data Collection
- Check sheets
- Scatter Diagrams
- Histograms
- Run Charts
- Control Charts
Module 3: Understanding Variation
- Introduction to Variation
- Measuring Variation
- Patterns of Variation
- Measures of Variation
- Normal Curve
- Process Stability
Module 4: Statistical background
- Definition of symbols
- Sample, Model and population
- Normal or Gaussian Distribution
- Central limit theorem
- The normal Probability Paper
- Probability paper – Idea
- Simulation of distribution
- Practical session on selected process for data collection
Module 5: Constructing Control Chart
- What are Control Charts
- What a Control Chart Looks Like
- Interpreting Control Charts
- Types of Control Charts
- Using Variable Control Charts
- Using Attribute Control Charts
- Selecting Control Charts
- Determining Control Limits
- Constructing Control Charts
- Charts Calculation tool
- Situation of Cp and Cpk
- Calculation of Cp and Cpk
- Target and reasons for low Cpk
- Parameter’s classification
Module 6: Monitoring and Improvement With SPC
- Process control
- Set up control limits
- Interpreting Control Chart
- Reduce Variation
- Shifting Means
- SPC Principles
- Control limit calculation
- Practical session on select process for improvement
