This unit covers carrying out statistical process control (SPC) procedures, including understanding control charts, process capability, and data collection
Topic Synopsis
This unit covers carrying out statistical process control (SPC) procedures, including understanding control charts, process capability, and data collection.
Key Concepts & Core Principles
- Lean Principles: Focusing on identifying and eliminating waste (Muda) across all business processes to maximise customer value, including concepts like Value Stream Mapping, Just-In-Time (JIT), and Poka-Yoke.
- Six Sigma Methodology: A data-driven approach used to reduce defects and variation in processes, often following the DMAIC (Define, Measure, Analyse, Improve, Control) cycle to achieve near-perfect quality.
- Continuous Improvement (Kaizen): The philosophy of making small, incremental changes on an ongoing basis to improve efficiency, quality, and safety, involving all employees from top management to the frontline.
- 5S Methodology: A systematic approach to workplace organisation and standardisation (Sort, Set in Order, Shine, Standardise, Sustain) designed to improve efficiency, safety, and visual management.
- Root Cause Analysis: Techniques such as the '5 Whys' or Fishbone (Ishikawa) diagrams used to identify the underlying causes of problems rather than just treating symptoms, ensuring long-term solutions.
Exam Tips & Revision Strategies
- Use real data examples to illustrate SPC concepts.
- Show understanding of the difference between variable and attribute data.
- Demonstrate how to respond to out-of-control points.
Common Misconceptions & Mistakes to Avoid
- Confusing common cause and special cause variation.
- Using incorrect sample sizes for control charts.
- Failing to update control limits after process changes.
Examiner Marking Points
- Collect and record process data accurately.
- Construct and interpret control charts.
- Calculate process capability indices.
- Identify out-of-control signals and take corrective action.