This topic covers carrying out design of experiments (DOE) to improve business processes, including planning, conducting, and analysing experiments. It als
Topic Synopsis
This topic covers carrying out design of experiments (DOE) to improve business processes, including planning, conducting, and analysing experiments. It also requires knowledge of DOE principles and methods.
Key Concepts & Core Principles
- Lean Principles: Understanding the five Lean principles—value, value stream, flow, pull, and perfection—to eliminate waste (muda) and optimise processes.
- Six Sigma Methodology: Applying DMAIC (Define, Measure, Analyse, Improve, Control) to solve problems and reduce variation using statistical tools like control charts and process capability analysis.
- Kaizen and Continuous Improvement: Leading Kaizen events to implement small, incremental changes that improve efficiency, quality, and safety.
- Value Stream Mapping: Creating current and future state maps to visualise material and information flows, identifying bottlenecks and non-value-added activities.
- Root Cause Analysis: Using techniques such as 5 Whys, fishbone diagrams, and failure mode and effects analysis (FMEA) to identify underlying causes of problems.
Exam Tips & Revision Strategies
- Understand factorial and fractional factorial designs.
- Use software for analysis but understand the principles.
- Always validate results with confirmation runs.
Common Misconceptions & Mistakes to Avoid
- Not randomising runs properly.
- Confounding factors due to poor design.
- Misinterpreting statistical significance.
Examiner Marking Points
- Define the problem and select factors for experimentation.
- Design an experiment with appropriate levels and runs.
- Conduct the experiment following the plan.
- Analyse results using statistical tools.
- Draw conclusions and recommend improvements.