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

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. 

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.

How well do you think you’re optimizing your manufacturing process? Obviously suboptimal processes are not ideal, and most manufacturers are working on getting the most out of their current workflow. But what exactly is optimization?

Almost all organizations set performance targets for departments and/or individuals to conduct their operations and to deliver products and services to their customers. Although managers attempt to ensure their processes can handle all the issues that may arise in their business, in today’s complex world, these processes often fall short.

For most processes, we have a choice of measurement options that vary with cost. Ideally, we seek the most accurate measurement at the lowest cost with the expectation that the result will be satisfactory. When measurements are critical to operations, we should validate these assumptions.