The manufacturing sector struggles with declining workforce experience as seasoned veterans retire and new operators lack the necessary skills. To address this, integrating predictive quality technologies and AI-driven recommendations can empower less experienced workers to achieve the quality and performance levels needed.

Statistical Process Control (SPC) is evolving to not just detect defects, but also to predict and prevent issues. Modern factories use more sensors and collect more data, allowing SPC to analyze real-time patterns and forecast potential issues.

IoT integration connects sensors and objects with each other and with applications and databases. CMMs benefit from this integration with multiple sensors integrated with metrology software and measurement databases.

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.