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Zyfra Releases An Updated Version of MDCplus Real-Time Machine Monitoring

By Enterprise Technology Review | Monday, September 07, 2020

Zyfra Releases An Updated Version of MDCplus Real-Time Machine Monitoring

MDCplus equipment monitoring system powered by predictive analytics helps forecast equipment breakdowns, increases production performance and actual equipment utilization, and reduces unscheduled downtime.

FREMONT, CA: A Finnish-Russian industrial digitalization leader, Zyfra releases an updated version of MDCplus real-time machine monitoring and manufacturing data collection system. The systems’ functioning principle suggests that each machine automatically sends its operation data into one digital system. Data on the equipment condition, workload, and modes of operation is transferred from the machines to computers and other devices armed with special software. It makes production processes transparent and offers objective data to add value to management decisions concerning redistribution of machine workload, product quality, control of personnel performance, and reduction of downtime.

Currently, MDCplus combines about 10,000 machines at 330 enterprises in more than 20 countries, including India, Russia, Romania, Singapore, Turkey, Finland, and France. The latest version gives enterprises an opportunity to control and analyze the production cycle and connect machines to the monitoring system without additional support.

To connect a machine to the monitoring system, it has to be combined into the local internal network of an enterprise. It needs only a few steps to connect the machine to the system remotely and to collect data. Continuous enhancement of the system is necessary for the context of high alert due to the pandemic. It also helps boost the integration of monitoring in production.

Zyfra has successfully completed a pilot project for remote connection of machines at Harsha Engineers, one of the leading manufacturers of bearing cages.  The new release has the options for control and life cycle analysis of each workpiece or part. Labels on workpieces can be leveraged to track each processing stage. Precise data about location and operations performed reveals deviations in technical processes and promptly identifies defective parts. This ultimately reduces the cost of corrections and excludes the possibility of defective items shipment to the customer.

MDCplus system offers energy efficiency modules, automated support of maintenance and repair services, and integration with a predictive analytics system. Power consumption monitoring option helps collect data on energy losses from machines in a multitude of modes and conditions in a prompt manner and to register and analyze quality indicators of the power supply system. Automated service and repair also help reduce repair time and increase the lifespan of machinery through optimized speed and quality of preventive service.

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