Manufacturers can prevent backorders and keep their inventory on track by predicting customer demand, otherwise known as using predictive analytics.

Break quality management out of firefighting mode with a solution that centralizes and unifies your quality and process data in one place.

When a process is constantly monitored and organized, manufacturers can guarantee optimal processes.

Takeda has had a longstanding relationship with Minitab and has used analysis to solve manufacturing issues, identify and execute on improvement opportunities, and design appropriate experiments to achieve process improvements with minimal supervision, among other things. Learn how Takeda Pharmaceutical leveraged Minitab's Predictive Analytics to boost their drug production.

We are pleased to announce the release of three new add-on modules to improve your ability to visualize, analyze, and harness the power of your data. Minitab’s new modules will help companies make key decisions and improve analytical capability, backed by the power of Minitab Statistical Software. 

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.