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To meet the demand of end consumers for increasingly better, smarter and personalised products, the industry must use ever better performing and more energy-efficient machines. The typical answer to this are increasingly advanced controllers in systems or components. However, current control algorithms have their limits when it comes to performing complex tasks and over time will show deviations caused by ageing machines. Continuously adjusting these algorithms is very labour-intensive and hardly efficient. By deploying learning control, control parameters are automatically and continuously adjusted so that machines continue to work optimally.

Predictive maintenance is a new way to schedule machine maintenance works. By monitoring the vibration pattern of machine parts, you can monitor the status of the machine. In this way, you know exactly when a component starts to show faults and can schedule the maintenance works accordingly.

Today, most companies invest in product-R&D because they want to respond to a specific customer demand. It’s their way to create added value and remain competitive in a global world. However, only few companies invest in production-R&D or production innovation. Those who do, understand the benefits. Here’s why.
 

Digital technologies fundamentally change the way in which companies operate. They help them to adapt to the increasing market demand for smaller series and highly personalised items and cater to the need for automation. Digitisation initiates a revolution within the manufacturing industry that will increase productivity, allow for economic growth and – ultimately – will strengthen the market competitiveness of manufacturing companies.