INTRODUCTION FOR STATISTICAL PROCESS CONTROL (SPC)
Statistical process control) is a method of quality control which uses statistical method. SPC is applied in order to monitor and control a process. Monitoring and controlling the process ensures that it operates at its full potential.
Statistical Process Control, commonly referred to as SPC, is a method for monitoring, controlling and, ideally, improving a process through statistical analysis. The philosophy states that all processes exhibit intrinsic variation. However, sometimes processes exhibit excessive variation that produces undesirable or unpredictable results. SPC, in a manufacturing process optimization context, is used to reduce variation to achieve the best target value.
At its full potential, the process can make as much conforming product as possible with a minimum (if not an elimination) of waste (rework or scrap). SPC can be applied to any process where the “conforming product” (product meeting specifications) output or input can be measured. Key tools used in SPC include control charts and a focus on continuous improvement.
Control charts used in the SPC Process attempt to distinguish between two types of process variation: Common cause variation, which is intrinsic to the process and will always be present. Special cause variation, which stems from external sources and indicates that the process is out of statistical control.
LEARNING OUTCOME
Upon completion of this training, you will be able to:
- Describe the purpose and uses of SPC
- Select the key input and output variables for control purposes
- Identify an appropriate process control strategy
- Determine the basic type of control chart to use
- Collect data and construct basic control charts
- Interpret control chart results and Action to Reduce Variations
COURSE CONTENT
Day 1
Introduction to SPC
- What is SPC
- The Need for SPC
- Benefits of SPC
- Data Type
- Normal Distribution
- Average
- Standard Deviation
- Class Exercise
Variation
- Common Cause of Variation
- Special Cause of Variation
- Sources of Variation
- Stable & Unstable process
- 2 common mistakes in Process Control
- Quiz 1
Control Charts
- Data type
- Type of Control charts
- Control Chart for variables
- Xbar -R Chart
- Xbar – S Chart
- XMR Chart
- Quiz 2
Control Chart Analysis
- Exercise on Variable Control chart
- Question & Answers
Day 2
Control Charts for Attribute Data
- Difference between Defect & Defective
- Type of Control Charts for Attribute Data
- p Chart
- np Chart
- Class Exercise
- c Chart
- u Chart
- Exercise on Attribute Control chart
- Control Chart Zones
- Class Exercise
- 8 Rules for Control Charts
Process Capability
- Stable Process vs Capable Process
- Understanding Cp, Pp,Cpk & Ppk
- Process Capability vs Process Performance
- Exercise
- Do’s & Don’ts in SPC Implementation
SPC deployment Program
- Common Failures
- Roadmap for SPC deployment
- Assessment
- Question & Answer
