Statistical process control (SPC) is widely accepted tools to control and assure process and product quality meet customer’s requirements. With proper implementation and execution, this tool allows an organization to effectively and efficiently maintain the desired quality level.
In addition, this is a mandatory measurement analysis technique in the automotive standard IATF 16949: 2016.
This course enable the participants to:
- Understand the principle and concept of SPC, and correctly apply for use in their own working environment.
- Apply statistical evaluation methods to determine the sources of variations.
- Assure and maintain the desired process and product quality level at the most effective and yet efficient manner.
- To achieve process stability.
- To provide guidance on how the process may be improved by reduction of variation
- To evaluate the performance of a process and product quality
- To provide information to assist management in decision-making
1.0 Quality Philosophy and Fundamentals
1.1 Evolution of Quality and Quality Concepts
1.2 Review of various Quality Improvement tools and application area
2.0 Basic Statistics for Quality Control, Assurance and Improvements
2.1 Understanding Variation
2.2 Tests for Normality
3.0 Statistics Process Control
3.1 Fundamental and Concept
3.2 Analysis and interpretation of Patterns (Trends) in Control Chart
3.3 Steps in Control Chart Setup
3.4 Types of Attribute Control Charts (n, np, c, u ) and application area
3.5 Types of Variable Control Charts(Average and Range, Moving Range and Z-Scores) for High Volume Production and Low Volume and Mixed Production
4.0 Process Capability
4.1 Introduction to Process Capability and Benefits
4.2 Steps involved in a capability study
4.3 Calculate Short term and Long term Process Capability, Cp, Process Capability, Cpk and Process Capability –to- target, Cpm
4.4. Interpreting Defective level from Process Capability
Who Should Attend?
Engineers and technician involve in process control and improvements
2 Days, 9:00 am – 6:00 pm
Training Schedule 2017 [ PDF 91 kB ]
Online Registration Form