VIMANA Enrich Software

April 18, 2017
VIMANA Enrich Software

System Insights announces the official launch of VIMANA Enrich, a software solution that simplifies the capture and integration of relevant data from the shop floor, manufacturing and business systems and adds context to the manufacturing process without increasing time and cost for programming and systems integration. VIMANA Enrich enables manufacturers to leverage machine data to gain improved insight, in real-time, that will support decision making and enable true Smart Manufacturing to take place, according to the company.

A key challenge to Smart Manufacturing is building better data, this depends on automatically capturing, structuring, and adding context by integrating machine data with other manufacturing data sources. VIMANA Enrich solves these challenges and allows manufacturers to be able to identify the true state of the manufacturing process such as current machine activity, asset health, part production, and operator status. Additionally, events and alerts can be created for insight into needed actions focused on maintenance, scheduling, inventory and part quality. Enabling end-to-end process automation, VIMANA Enrich integrates with other upstream CAM and downstream ERP, scheduling and maintenance systems.

“We are excited to bring VIMANA Enrich to market,” stated Athulan Vijayaraghavan, CTO and co-founder of System Insights. “VIMANA Enrich is a flexible product that can be configured by the user to generate classifications and alerts to capture the true state of the manufacturing process, using our user interface to generate Enrich rules. This product will bring a lot of value to users by augmenting data without programming, and will save users time and money.”

VIMANA Enrich is a stand-alone, on premise, streaming application that consumes data from MTConnect and other data sources. It leverages a set of standard and custom developed rules to generate events that can be consumed by VIMANA Utilize or other analytics platforms for visualization and predictive analytics. Enriched data can also be integrated with other manufacturing and business systems to include enterprise resource planning, maintenance, and scheduling systems to enable a closed-loop process and end-to-end supply chain automation.

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