FOOD & BEVERAGE

Industrial solutions driven by AI and IoT.

The world’s population is growing exponentially and is expected to reach 10 billion by 2050. This means there are a lot more mouths to feed. Therefore, there’s an ongoing need to increase production throughput, while meeting stringent regulatory and quality standards.

To do so, manufacturers must minimize process-driven inefficiencies that reduce throughput. Process-driven losses can result from excessive downtime from unexpected machine failures and inefficiencies. Maximizing throughput in real time is crucial for the profitability of food and beverage manufacturers.

By employing condition-based monitoring and machine learning, AegisOne™ predicts failures and prevents production issues by identifying and anticipating equipment problems and prescribing focused actions that reduce them. This allows for process and quality engineers to solve issues, rather than investigate them – resulting in the ability to continually improve processes and maximize throughput.

Results and Outcomes

Condition monitoring software for food and beverage manufacturers.

A new era of end-to-end intelligent equipment services and asset management for the food and beverage industry.

Drive operational efficiency and productivity.

Improve Overall Equipment Effectiveness (OEE), drive world-class productivity and enable continuous improvement with Industrial AI and machine learning. Further reduce process and product variation and leverage better insights for immediate action.

Improve the reliability of your product.

Detect and resolve anomalies and defects earlier in the process, ensuring world-class quality leaves the dock. Machine learning anomaly detection is a closed-loop detection process that improves first-pass yield, reducing raw material spend, scrap and non-value-add rework costs.

Optimize your labor and energy costs.

Decrease unplanned downtime and hit production targets, reducing the need for overtime or resources for production capacity surges. Predictable production drives more confidence in capacity planning and an optimized financial operating model.

Increase asset availability and reliability.

Improve the work balance of assets and reduce costs associated with idling, starving or blocking equipment. Financially optimize maintenance strategy, applying preventive, predictive and prescriptive maintenance where it drives the most value for the operation.

Turn Data into Outcomes

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a new era of productivity?

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