innius allows Plant Managers to outperform what was previously possible as they strive to reduce downtime, waste, and energy costs, whilst ensuring throughput and quality. Industrial food producers like Dutch Bakery, Hellema and Pandriks use innius to gain deeper insights into their production line machinery. Decision making no longer needs to be based on instincts, but on real-time machine data, and long-term analysis, with OEE, Downtime and Batch reports.
As part of the Van Mourik Group, animal feed is part of the innius DNA. So, we understand the complexity modern feed mills face processing so many different product formulas. But for every machine connected to innius, the more grip a plant manager has of the situation. innius can deliver insight into how different feed formulations impact machine behaviour, such as how much energy is required, and identify process bottlenecks. This is invaluable data for understanding cost prices and planning the most efficient order in which to run batches. Furthermore, Industrial IoT can enable moisture-content to be used as a real-time parameter for running the production process.
If you can measure it, you can manage it. Connecting packaging machines to innius, allows you to measure amongst others, efficiency, quality, and reliability. Real-time alerts and assigned tasks enable condition-based-maintenance to ensure packaging does not become a process bottleneck. Long term machine performance can be analysed with innius’ standard Downtime, Quality and OEE reports.
Maintenance is a critical aspect of managing machinery and infrastructure, and it plays a pivotal role in maximizing Return on Investment (ROI). As businesses strive to optimize their assets, the […]
Machine downtime, whether planned or unplanned, can be a formidable adversary in the world of manufacturing. The repercussions of such interruptions extend far beyond the factory floor, affecting everything from […]
The Industrial Internet of Things (IIoT) has become a transformative force across industries, offering unprecedented opportunities for efficiency and data-driven decision-making. Yet, the question of whether to custom-build an IIoT […]
