First-steps - Understanding variability:
1. Experiencing variability.
2. Gaining stability - ‘Standard Operating Procedure’.
Measurement Systems:
3. Define a ‘Standard Operating Procedure’ for measuring Flatapult® performance.
4. Measurement System Analysis.
Process Stability:
5. Review the time-series stability of the Flatapult® process using Control Charts.
Applied Data Analysis:
6. Capability Analysis.
7. Comparisons.
8. Relationships – Regression.
9. Conduct a Design of Experiments.
Lean Process Analysis:
1. Standardisation (Assembly / Change-over Process).
2. Single-piece flow assembly of multiple units.
3. Line balancing.
4. Change-over time reduction / SMED.
5. Maintenance planning / TPM.
Process Simulation:
6. Build a monte-carlo simulation to analyse performance of a multi-stage Flatapult® process.
7. Build a discrete event simulation to analyse performance of a multi-stage process.
Failure-Mode Avoidance:
8. Significant & Critical Characteristics.
9. PFMEA – Assembly & Change-over.
10. DFMEA / ESA – Systems Engineering & FMA Analysis.
Problem Solving & Improvement Methods Consolidation:
11. Full team-based consolidation exercise using a structured framework for problem-solving & improvement e.g. DMAIC.
12. Team-based problem-solving and improvement exercise for a multi-stage Flatapult® process – simulates leadership of a portfolio of improvement and optimisation activities.
