A world leader in rubber compounding needed to meet increasing customer expectations and heightened sustainability recommendations while continuing to grow and improve their business.

Using Minitab’s Predictive Analytics with Auto ML in manufacturing enables quality improvement and warranty prediction, practically in real-time.

Greg Hitachi has over 30 years of experience working with the manufacturing industry, mainly in the automotive, electronics, aerospace, and consumer goods sectors around the world. Learn about his vision for digital transformation.

In situations where resources are limited to gathering real data would be too expensive or impractical, Monte Carlo simulations can help forecast results and probabilities. 

Testing potential improvements can get complicated when working with multiple suppliers in different steps of a process. Using a Monte Carlo Simulation can help illuminate the results you’d like to see.

How LVHN used Lean Six Sigma tools and Minitab statistical analysis to achieve improvements in patient-centered care.

When faced with potential reliability issues, original equipment manufacturers must quickly find the root cause and determine the risk for other equipment still operating in the field.

A global leader in the food and beverage industry faced a complex challenge in their process of refining corn sugars.

Greg Kinsey, Industry Executive at Hitachi, reveals how creative uses of the DMAIC process with digital transformation are helping factories to unlock the next level of process improvement.

Real-Time SPC provides data collection, monitoring, alerts, and analysis that allow organizations to identify actionable insights immediately.