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

Artificial intelligence has landed on our doorstep and will change the complete environment of data collection, data analysis, and real-time action. Not only has AI landed, but it is also here to stay, and parts can be used immediately.

Artificial intelligence and predictive modeling still require a human element: Especially staff to capture data, manage insights, deploy the software, guarantee production quality and more.

Data collection has historically been completed manually. Before wireless gaging came onto the scene, staff would write down and physically log output data, a slow process with plenty of room for error.

With the manufacturing industry growing more complex every day, it’s hard to imagine operating a manufacturing enterprise without an ERP system. The software provides a critical central communication point for the business, handling all activities from quote to cash and everything in between. 

In line with Industry 4.0 objectives, many manufacturers strive to streamline their processes to quickly produce consistently superior products.

If you are looking to quickly create ballooned drawings and first article inspection documents, you need the right tools for the job.

Looking into new software for statistical process control (SPC) can be challenging and often confusing at the outset. This is because many providers claim to have similar features like real-time data collection and easy installation, though results may vary.

Automation may seem like a relatively modern concept, with its buzzworthy contribution to the Industrial Internet of Things (IIoT) and already monumental importance to the future of global enterprise. However, the technological birth of automation as we know it today dates
back centuries.