Globalization and digitalization have intensified competition in manufacturing. Some companies are using Bayesian hypothesis testing to optimize processes and make informed decisions. For example, a production manager could use it to improve the engine-cylinder-head-machining process.

Explore top 5 ways Minitab Real-Time SPC can help improve quality and help Quality professionals save time and money

DOE is a method that helps manufacturers improve processes by understanding the relationship between factors and the output. It involves defining the problem, selecting the right design, conducting the experiment, analyzing the results, and implementing changes.

Data visualization transforms complex data into clear insights through charts and graphs, helping users quickly spot and address production issues and make informed decisions.

Regression analysis helps quality teams improve their process standards. In simple terms, it helps these teams understand how variations in the manufacturing process affect the quality of the final product.

What is Capability Analysis?  Capability analysis is a powerful statistical tool that serves as a compass for quality departments.

Manufacturers and quality teams stand to benefit from Automated Machine Learning (AutoML). The technology can streamline their processes, boosting quality improvement, maintenance and analytical insights.

Accurate quality assessment is crucial for manufacturers aiming to deliver products that meet or exceed customer expectations. However, ensuring precise measurements within a manufacturing process can be challenging.

Machine learning models have great potential to help manufacturers improve quality control processes.

As manufacturers strive to meet customer expectations and remain competitive in today's global economy, they must consistently produce high-quality products. However, achieving this goal can be challenging.