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Product optimisation

Mechanical Engineering

Custom machine building

Many production processes encounter constraints that affect their efficiency and reliability. Irregular material supply, wear and tear or downtime result in a loss of capacity and quality. Veenstra analyses existing installations and translates bottlenecks into concrete improvements. The focus is on practical solutions that can be applied immediately within the existing set-up. This results in a more stable process with better performance and fewer disruptions.

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Analysis of existing processes

Effective optimisation begins with a thorough on-site analysis of the production process. We observe the process and discuss bottlenecks with operators. We also measure KPIs such as OEE and cycle times to provide insight into performance. Where necessary, we carry out material tests or analyse airflows within installations. Based on this, we identify specific areas for improvement that can be implemented immediately in practice.

Technical improvements

Our optimisation work focuses on solving specific problems within existing installations. This includes mechanical modifications to reduce plugging and wear in processes. In addition, we optimise air and balancing systems in airslides and improve control systems and loading processes. We also analyse installations from other suppliers through audits and safety checks, including ATEX and FDA aspects. Improvements are tested, validated and prepared for implementation without disrupting production.

Working together towards continuous improvement?

Product optimisation requires an approach that combines analysis, improvement and implementation. When working with Veenstra, we adopt a phased approach and tailor our work to the existing production schedule. Where necessary, we plan adjustments during downtime or outside regular production hours. Furthermore, during the start-up phase, we supervise the process on site and provide guidance where necessary. Please contact Sign up for an analysis of your process and discover where optimisation is possible.

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