System Insights Launches VIMANA Enrich

April 18, 2017 – Berkeley, CA – System Insights announces today 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.

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, part quality, etc.  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.  He continued, “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.

System Insights Teams with R.F. Celada Spa to Bring ‘Industria 4.0’ Technologies to MECSPE


Berkeley, CA., March 9, 2017 - System Insights is teaming up with R.F. Celada Spa to bring ‘Industria 4.0’ technologies to MECSPE.  The event will take place on March 23-25, 2017 at the Parma Fairground in Parma, Italy.

Join us to see ‘Industria 4.0’ in-action in stand E75.  We will do a live demonstration of VIMANA capturing real-time data from Okuma, Haas, Sodick, and Star machines and displaying real-time dashboards and reports to gain visibility to this manufacturing operation.  You will experience how leveraging advanced analytics and insights from data enables factories to make better decisions.  Data driven manufacturing can help you improve production on the shop floor, reduce unplanned downtime, improve cycle time and quality while realizing significant savings. 

The VIMANA platform is the leading cloud-based and on premise predictive analytics platform for manufacturing intelligence.  VIMANA provides connectivity from machines, peripheral devices, and manual stations.  It securely connects to multi-vendor and legacy factory assets using MTConnect and OPC UA standards. The software captures, enriches, and analyzes vast volumes of machine data and generates metrics and insight to help users optimize operations, increase production efficiency, improve execution, and optimize performance.

“With the ‘Industria 4.0’ National Plan being a focus in Italy, this is the right time to bring our VIMANA platform to MECSPE,” stated, Katie Richardson, Director of Business Development.  The ‘Industria 4.0’ National Plan represents a major opportunity for all companies that are ready to take advantage of the unprecedented incentives offered by the Fourth Industrial Revolution.  The Plan provides a wide array of consistent and complementary measures promoting investment in innovation and competitiveness.  The ‘Industria 4.0’ National Plan will affect every step of the life cycle of companies that want to improve their competitiveness by supporting investments, such as the digitalization of industrial processes.

Modern Machine Shop: Look Beyond Machine Utilization When Installing a Machine Monitoring System

LMI Aerospace has the word aerospace in its name because that’s the market the supplier serves almost exclusively. This company is a global manufacturer of structural assemblies, kits and components for its diverse aerospace customers. It also provides design engineering services to back up its manufacturing capability (not many machining companies can thrive just by producing parts anymore.)

One of the company’s machining facilities is in Washington, Missouri, near St. Louis, and not far from its corporate headquarters in St. Charles. Three years ago, the Washington facility began actively seeking a monitoring system for its CNC machines in order to check status and collect performance data for analysis. One of the main goals and expectations was to see an improvement in utilization.

Read the entire story here.

Modern Machine Shop: Delivering Value is Key

How much value to business will data-driven manufacturing deliver in the near term? One research firm predicts that by 2020, the Industrial Internet of Things (IIoT) will impact nearly 6 percent of the global economy, with $1.9 trillion in productivity improvement and $177 billion in cost savings.

However, the capability of today’s advanced manufacturing equipment and the complexity of emerging processes bring challenges to successfully using data to cut costs and boost output. The current approach has some missing links. Capturing all relevant data is a problem. Adding contextual meaning to the data is an issue. Integrating shopfloor data with company business systems needs attention, too.

Read the entire article at the MMSonline website.