• Increase production quality at every production zone monitored
• Improve operating margins and increase yield due to decreased rework
• Gain insights into additional production quality improvements through continuous analysis of sensor data

• Seamlessly couple IoT and machine sensor data via low-latency messaging backbone for scalable, fast and reliable transport 
• Deliver potentially large quantities of data at sub-second speeds which is key to downstream activities 
• Universal Messaging provides an enterprise-grade service bus for connectivity, messaging, transformation and security of machine data for advanced real-time analytics

• Correlate data from multiple sources for fast, effective decision making
• Enrich streaming data with a deep understanding of historical and predicted equipment availability and effectiveness to pinpoint when it’s time to intervene prior to a quality issue arising
• Monitor and correlate sensor data in real time—up to 32 million events per second

• Send automatic adjustments to smart machines, schedule technician deployments, and more so that you can respond rapidly to exceptions and product quality opportunities
• Dynamically manage exceptions, interact with technicians in real time and deliver contextual content to everyone in the service chain
• Bind predictive quality management to the rest of the enterprise, enabling other enterprise maintenance resources to mobilize with unprecedented speed

Ensure the highest product quality and equipment availability by understanding your equipment's current performance and by predicting remaining useful life for the entire piece of equipment as well as specific components.

Identify repairs that cannot be completed during set downtime periods and manage them based upon equipment and production requirements.

Understand equipment performance at sub-second speeds to ensure all production machinery is performing at it's desired calibration and within it's upper and lower control limits.

Dynamically predict remaining useful life of machinery, specific components or both to ensure the effectiveness of a Predictive Maintenance program and optimize first call repair efficiencies.

Electronic messages can be sent to equipment to auto-adjust itself back to desired performance levels without technician interaction.

• Reduce the design time for new processes by reusing existing best practice processes
• Fast identification of improvement potential
• Align business requirements and ERP solution

• Achieve process visibility, transparency and enhanced speed of execution

• Improve and benchmark your company business processes

• Industry best practice process models 
• Structured and a hierarchical decomposition of the enterprise functions depicting an end-to-end process view 
• 150+ processes 
• Covers major functional areas like batch production, capacity planning, production planning & scheduling, relabeling, repackaging, plant maintenance and EHS

• Proactive real-time reaction to events thanks to unlimited scalability of data and devices
• Proactive problem solving: problems are averted before they arise

• Support of transformation from product to service-based business models
• Innovation and exploitation of new revenue opportunities
• Better understanding of customer needs and anticipation of market trends

Thanks to proven technology and experienced IoT specialists and reliable security standards from data protection to device integrity.

• Redesign of services to improve the customer experience
• Continuous app adaptation to best meet customer needs

• Real-time asset condition monitoring
• Leverage dynamic prediction
• Automated equipment adjustment Real Time Asset Condition Monitoring Understand product performance at sub-second speeds to ensure all production machinery is performing at it's desired calibration and within it's upper and lower control limits

Dynamically predict product failures and issues with specific components or both to ensure the effectiveness of a predictive service repairs and optimize first call repair efficiency.

3D data visualization overlay on the products helps maintenance engineers carry out effective repairs the first time.

Real-time dashboards

Maintenance inspection using wearable glasses

Field maintenance with wearable glasses

How it works

Compatible with Broker 6+, 7+, 8+, 9+, Universal Messaging, and CgUtils json logs.

Can connect to multiple messengers of multiple types at the same time, gathering a whole application's workflow in the same interface.

You can modify document subscription, for example to focus on important document types.

CgUtils offers the ability to publish simulate publications for abstraction from the real messenger. Messages are then logged in a json file. This tool can listen to this file in real time.

Customize the tool with the skin you prefer.

Import/Export documents for further analysis, as raw data, Xml coder or JSON.

You can pause data collection. You can visually filter on/off by document name or content.

You can configuration structures to be collapsed by default, to automatically hide unused portions of documents.

You can configure up to 3 custom fields by document type to show key data directly in the document list.

You can search for text within documents.

You can modify documents, attach them to another messenger, and republish them, to quickly fix an issue and retry with new data from the stage of failure.

You can call a HTTP URL customized with data from the document, in one click.