CastLab Proeftuin a metal playground for the industry
CastLab Proeftuin helps companies, government institutions and engineers speed up lead times for prototypes and
spare parts through innovative production methods and complementary digital services.
New technologies that are central to our service include digital twins, digital warehousing, predictive maintenance, big data analysis, and a rule-based decision system (AI). Struggling to get (critical) metal replacement parts the traditional way? Are you facing high maintenance and inventory costs? Then you’ve come to the right place.
“CastLab Proeftuin focuses on making the manufacturing industry more sustainable through knowledge sharing and partnership development.”
Solutions for the Dutch infrastructure sector
Approximately 70 years ago, the vast majority of Dutch infrastructure was built for a lifespan of 30-50 years. It’s now about 50 years old, or older. The railroad network, bridges, pipelines, and more have a total replacement value of approximately €360 billion. If something gets stuck, it damages the economy. Maintenance is therefore extremely important. Because many assets are at the end of their lifespan and replacing the entire infrastructure is not possible, solutions can be found insmart maintenance and spare parts that are produced at an acceptable cost. Often, these are unique replacement parts that need to be delivered quickly in the event of failure. CastLab Proeftuin and its partners respond to this need.
A common testing ground
CastLab Proeftuin works in partnership with SMEs and large companies, knowledge institutions and end users . (see partners). We have created a testing ground to exchange innovative ideas and to design, develop and test new technologies and business models for smart maintenance.
“Making the manufacturing industry more sustainable through knowledge sharing and the development of cost-saving, innovative production methods”.
What do we do?
We develop new technologies to manufacture critical parts and predict when they will fail. We develop part databases (digital inventories) and compelling business models to manufacture critical parts at high mix/low volume within a very short timeframe and in a cost-efficient way.
In addition, we use big data, stemming from part inventories, to enable predictive maintenance for sensorless components. When parts cannot be found replaced a supplier no longer exists or drawings are no longer available, we can develop these using various technologies. The part in question can be reproduced and delivered with corresponding drawings and product specifications. We also develop and produce spare parts without a minimum order quantity (starting at 1 piece) , so you can avoid excess stock and lower your costs.