Unlocking hidden efficiency
Seizing new opportunities through Six Sigma Black Belt tools such as advanced statistical analysis
We’ve discovered a hidden chance, presenting us with a new opportunity to save resources.
Unlocking hidden opportunities in the Good Enough state
Everything seemed fine, but tiny cavity variations revealed new opportunities.
3 grams per bottle, imagine the savings!
Why Small Variations matter to your pocket
A process can meet specs, but what if we push beyond them?
Loose tolerances could be costing us.
For Mr. Muscle bottles, a 4-cavity mold showed significant variation—bottles from cavity 4 were smaller, resulting in less liquid volume. And this difference was statistically significant.
By tweaking the process, we could meet expectations and save money.
Small process tweaks saved tons for SCJohnson.
When “Good Enough” Isn’t good enough
During a global transformation at SCJohnson, I was responsible for mold qualifications for Mr. Muscle bottles in the ANZ market.
The challenge was to ensure consistent product quality, but variations in mold cavity performance caused unequal liquid volumes in bottles.
We addressed this without violating product specifications through delivering Lean Six Sigma Black Belt project, using advanced statistical analysis tools
Look for the three families of variation:
Temporal + Cyclical + Positional
Our goal was simple: Arrest the dominant category of variation to optimize process efficiency and product quality.
Variation= Temporal + Positional + Cyclical
Variation that occurs over time during production, such as shifts, trends, or cycles in the process. This is also referred to as time-to-time variation.
Variation= Temporal + Positional + Cyclical
Variation within a single unit or component, often due to differences across specific locations (e.g., different cavities in a mold or varying points on a surface). This is also known as within-piece variation.
Variation= Temporal + Positional + Cyclical
Repeated variation following a cycle, such as changes due to machine cycles, production batches, or shifts. It is often associated with equipment performance or operational factors that periodically change.
3 steps to transform Mold variability into savings
Data Analysis
Action Plan
Continuous Monitoring
How improved mold cavity performance drove results
We saw a 5% reduction in material waste annually, equivalent to saving tons of liquid across our global production facilities. This solution has since been replicated across other production lines
Schedule a Consultation: Let us show you how to eliminate inefficiencies and drive measurable improvements by using advanced statistical analysis tools such as Multi-vari Charts in our AI-Driven Six Sigma black Belt course
Learn from SCJohnson’s Success: Download our detailed case study to see the exact steps we used to achieve faster project completion.
Start Your Transformation Today: Reach out to discuss how we can tailor these solutions for your team.
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