Quality Analytics

As the market leader in quality analytics, Minitab offers the broadest array of quality tools for practitioners. Explore some of the basic quality improvement tools that are readily available in Minitab Statistical Software and Engage.

Minitab offers a broad array of measurement system analysis tools for quality professionals. Assess measurement system variation, bias, and stability with Gage R&R studies, Attribute Analyses, Bias Studies, and Stability Studies.

A little bit of variation is inevitable, if it stays within acceptable limits. Companies want processes to be stable, consistent, and predictable, because if a process is out of control, the company has no way to predict and guarantee the quality of products and services. Assessing process stability also enables businesses to discover and correct variation that reduces quality.

Control charts are the primary SPC tool for monitoring process stability. A control chart turns time-ordered data for a particular characteristic, such as product volume or the time it takes to prepare a meal after the order is placed, into a picture that is easy to understand and warns you when unusual shifts in a process occur.

As we collect more and more observational data from our processes, we might need new tools to provide meaningful insights. You can add modern-day machine learning techniques alongside traditional statistical tools to analyze, improve, and control your processes. Let's take a look at an example that starts with binary logistic regression and ends with Classification and Regression Trees (CART^®).

As organizations strive to compete in crowded markets, how can we ensure the statistics we use to describe our products are accurate? Attribute sampling can bolster confidence that the information you provide to customers is data-driven, accurate, and current.

As our lives depend more and more on technology—from pacemakers to smartphones to automobiles to life support systems—the more we are adversely affected if a product or component we depend on fails. No wonder, then, that the reliability of products and their components is considered so critical by quality engineers.

To ensure the quality and safety of a product for consumers, it's imperative to clearly understand the risk of failure over its lifetime of use. Reliability/Survival analyses in Minitab provide critical tools to help you quantify this risk.