Summary
Process control concerns the mechanisms by which the output of a specific process is maintained within a desired range to ensure the resultant characteristic meets the requirements. This course introduces Statistical Process Control (SPC) from the basics, creating charts by hand, before then using more advanced methods to monitor and improve process control.
Duration
2 days
Description
This course covers the Process Control requirements for AS13100 and AESQ Reference Manual RM13006 - Process Control Methods. This course outlines the competitive advantages of effective process control strategies along with the benefits of value added controls within the control plan. It supports the goal of zero defects, defect prevention and the reduction of variation and waste.
The use of statistical techniques and other proven methods will result in improved quality and manufacturing maturity. The AESQ Reference Manual RM13006 helps organisations to select the appropriate control strategies when developing Control Plans and to demonstrate their effectiveness through statistical analysis.
Please note: this course can only be held in a face to face classroom. We aren't able to hold this virtually due to the mini-tab element.
Who should attend?
This course is designed for Process Design Practitioners, Process Improvement Teams, Implementation Teams, Internal Auditors and others involved in the implementation or auditing of Process Control strategies and techniques.
Course Outline
The Importance of Process Control
- Examples and discussion on process control failures
- Reputational impact
- Effects on the Aerospace industry
- Benefits of achieving design nominal
- Closed loop control system
- Effectiveness of in process control over end if line inspection
Process Capability Analysis
- Tests for Special Causes
- Process Capability assessment (Cp, Cpk, Pp, Ppk)
- Incorrect assumptions about Cpk
- Process Capability prerequisites
- Handling non-normal data
- Statistical software
Process Control in Context of Quality Planning
- Linkage of PFMEA and Control Plans
- Purpose and content of Control Plan
Basic Root Cause Analysis and Process Improvement
- Appropriate reaction to special causes of variation vs common cause variation
- Options for confirmation of change effectiveness
Selection of Process Control Methods
• Basic overview and explanation of the various control methods
Data Collection
- Importance of time sequence
- Importance of reliable measurement systems
- Importance of non-biased data and operational definition for data collection
- Sample size considerations
Application of Control Charts
- I-MR
- Rational Subgrouping
- X-Bar / & R Chart
- I-MR-R/S - Between / within (3 way chart)
- Attribute charts (P, C, NP & U)
- Charts for rare events
- Pre-Control Charts
Process Capability Analysis
- Basic statistical terms
- Process stability assessment using control charts
Error Proofing
- Error proofing principles, devices and strategies
- Levels of error proofing
- Automated Control Systems
Benefits and Learning Objectives
Delegates will be competent in the importance of process control, understanding and implementing the 9 control methods. They will be able to perform statistical analysis on data and interpret the outputs. Know how to use SPC control charts for continuous and attribute data, how to calculate and interpret the results of capability studies, whilst identifying potential issues. They will also have an understanding of the linkage of the process controls with other quality tools such as Process Failure Mode and Effects Analysis, Control Plans and Measurement System Analysis.
Certification
Upon completion of the course, you will receive an Industry Forum AS13100_RM13006 Process Control Methods Practitioner Certificate.
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