In all types of industries, machine learning (ML) tools are finding the needle in the haystack of data, augmenting quality and safety professionals with a new kind of intelligence that can unlock hidden data patterns that are impossible for the human mind or eye to absorb.

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. 

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.

In their day to day work activities, both quality and manufacturing professionals are involved in conducting audits; collecting, analyzing, and interpreting data; plus preparing a variety of reports and summaries of the data to document product quality. 

Traditional quality control systems are your factory’s guards, put in place to prevent the escape of defective products. But preventing defects from occurring in the first place is even better.

Naturally, much of understanding anything—and where it might be going—is understanding how it began.