Who should do this course?
The targeted audience for this workshop are those individuals having supervisory and managerial responsibility. They required to utilize analytical skills to solve problems at workplace.
Why should do this course?
Statistical Process Control (SPC) is a technique, which tells when to leave the process alone (undisturbed) or when to take action on the process based on statistical signal. It helps the process to be maintained in stable condition. Stable process produces consistent quality and prevents the occurrence of defects.
At the conclusion of this training the participants will be able to
1. Understand the importance of Statistical process control.
2. Application of these tools in day to day operation
3. Improve their respective processes by applying these tools
4. Demonstrate the effectiveness of tools to their peers
1: Introduction to Process control
- Meaning of process control system.
- What is a process
- Different levels of processes
- Converting Voice Of customer to process measurements Techniques to record data.
2: Introduction to Variation
- What is variation and why is it a problem in any process?
- Measuring Variation
- Using a histogram to show the variation in a process.
- Patterns of Variation
- Types of patterns of variation, what they tell you, and what to do about them.
- Measures of Variation
- Statistical measures of variation: mean, range, and standard deviation.
- Normal Curve
- Properties of the normal curve and the 68-95-99.7 Rule.
- Importance of a stable process.
3: Process Capability Basics and measurement
- What process capability means and why it is important.
- The capability ratio, process capability index, and Cpk.
4: Control Chart Basics
- What are control charts are and why are they used.
- Common elements of all control charts and look.
- Interpreting Control Charts & Taking Action
- Types of Control Charts - Variable and attribute control charts
Lesson 5: Using Control Charts
- Using Variable control charts
- Calculating, plotting data and interpreting variable-data charts.
- Using Attribute Control Charts
- Calculating, plotting data and interpreting attribute-data charts.
- X Bar-R Bar chart
- X and Moving range chart
- How to define limits of X bar R bar Chart
- What is I and MR chart
- How to draw I and MR chart
- How to define limits for the same
- Control chart for attributes
- P chart for attributes
- Np chart for non confirming
- C chart for number of non conformities
- Poka-yoke/mistake proofing