Producing quality output is a fundamental aspect of any manufacturing process. Correcting quality issues after they have occurred is an expensive, wasteful and time consuming process. This includes activities such as performing rework, scrapping units and performing multiple inspections so that bad parts do not reach the customer.
At its core, reducing variability is at the center of improving quality. That variability can come from many sources - manpower, method, machine, material and others.Industry 4.0 capabilities such as I-IoT, Augmented Reality and Machine Learning can help to directly address many of those sources of variation. In this webinar, we will explore the many ways to combine these solutions with existing quality techniques to dramatically reduce the overall cost of quality.
In this webinar, we will discuss how we have guided our customers to employ Industry 4.0 capabilities and predictive quality solutions to improve their costs, avoid escapes and stop quality issues before they happen.