Using Simulation for DMAIC
Simulation modeling and analysis is commonly utilized by Lean and Six Sigma practitioners to complete a DMAIC process but at where in this process can simulation add real value?
The Six Sigma DMAIC process methodology is a system that brings measurable and significant improvement to existing processes that are falling outside of specifications. Process Improvement is the cornerstone of SIMUL8 simulation software.
The DMAIC methodology:
1. Define:
- Define what is currently known about the process, the goals and the deliverables for the project.
- This will define the scope for your simulation what needs to be covered and what is too detailed to add value.
2. Measure:
- Collect the data, decide what to measure about the process and how to measure it.
- This data will be the inputs of your simulation so that you can create an accurate model of your current process and defects.
3. Analyze:
- Analyze the data collected to determine the cause of problems (defects) in the process.
- Using simulation at this stage provides the ability to experiment with the process, test improvements and see how the process responds to changes.
4. Improve:
- Identify and implement solutions to address these defects.
- Using simulation, multiple improvement strategies can be developed and tested in a risk free environment.
5. Control:
- Monitor the improvements to ensure sustained success
- Reusable simulations encourage continuous improvement
What are the benefits of using Simulation to perform DMAIC?
- Simulation takes into account process variances, uncertainties and interdependencies.
- Simulation can test many alternative solutions quickly and easily.
- Simulations can be developed with no risk and no disruption to existing processes.
- Simulation ensures that the process remains the focus, and avoids decisions being based on subjectivity or bias.
- Displaying dynamic and animated processes make simulation the perfect tool for achieving project buy-in.
- Impact on upstream or downstream customers/operations/processes can be clearly visualised and measured.