SANTA CLARA, CA — (Marketwired) — 06/23/15 — , the machine data analytics company, today announced that , a premier global manufacturing company has selected Glassbeam–s business IoT analytics solution to examine real-time machine data information and provide valuable insights into its equipment performance. The analysis will increase Romi–s Overall Equipment Efficiency (OEE) by increasing uptime and reducing the mean time to resolutions for any equipment problems.
Brazilian based, Romi S.A. is a global leader in Machine Tools, Plastic Processing Machines and Rough or Machined Castings. Its products and services are marketed throughout Brazil and exported to five continents for industries such as automobile and automotive components manufacturing, consumer goods, agricultural machinery and implements, and industrial machinery and equipment. The company holds over 60 patents and has a further 30 patents pending in Brazil and overseas.
“In manufacturing, you can–t afford downtime,” comments Luiz Cassiano Rando Rosolen, Romi–s CEO. “Our machines generate a huge amount of data that should help us keep our performance at the levels necessary to continue to lead our industry. However, we have not had the ability to analyze that data in ways that will provide rapid intelligence. The Glassbeam solution should provide that capability and help keep us even more competitive.”
“We are very pleased to be working with Romi,” added Puneet Pandit, Glassbeam–s CEO. “Their revenue growth and worldwide expansion have been based on delivering high quality products on time to their partners and customers. This means that uptime and mean time to resolution are critical. Our platform has been designed to provide them critical business IoT analytics that will help them continue to meet and exceed their goals.”
Pandit points out that the manufacturing industry also faces a significant gap between manufacturing systems in the shop floor and the IT systems that help administer manufacturing organizations.
“Glassbeam is able to bridge this gap between the shop floor; the machine world of PLC generated data from sophisticated manufacturing equipment; and the IT world of ERPs,” Pandit adds. “As a result, financial and operational decisions made by IT systems driven managers can have the richness of machine data available to them in real time and with minimum human error, and in forms that makes the languages machines speak intelligibly to the managerial decision maker.”
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