vimana, Author at VIMANA

VIMANA selected by Sandvik Coromant as Manufacturing Analytics Platform to launch the CoroPlus® MachiningInsights offering

VIMANA has been selected by Sandvik Coromant as the manufacturing analytics platform for their newly announced CoroPlus® MachiningInsights offering. The partnership leverages the two companies’ respective strengths, VIMANA’s advanced analytics and Sandvik Coromant manufacturing knowledge and digital machining solutions. “After Sandvik Coromant’s comprehensive vendor evaluation process, we are honored to have been selected as the […]

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VIMANA Speaks the Language of Smart Manufacturing at IMTS 2018

Press Releases / vimana

VIMANA announced their participation in IMTS 2018 at Chicago’s McCormick Place, September 10-15, 2018. VIMANA is speaking the Language of Smart Manufacturing, demonstrating the newly released, best-of-breed manufacturing platform for operational excellence. VIMANA will be collaborating with innovation forums and standards organizations, as well as with strategic industry partners. VIMANA is located in the East

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VIMANA Named a Cool Vendor by Gartner

Press Releases / vimana

VIMANA, the leading manufacturing analytics platform for operational excellence, announced that it has been named a Cool Vendor by Gartner, Inc., the world’s leading research and advisory company, in the recent ‘Cool Vendors in Digitalization Through Industrie 4.0.’ 2018 report. We believe that this is a highly-valued position that recognizes companies that are enabling the

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Making Additive Manufacturing Work

Insights / vimana

Most people are unaware; Additive Manufacturing has been around for a long time, over thirty years to be exact. Historically it has been relegated to prototyping and product development, only in the last ten years have we seen a surge in the applicability of additive manufacturing, and now, hybrid, a combination of additive and subtractive

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Integrating MES and CMMS Systems with Manufacturing Analytics

Insights / vimana

Operating manufacturing plants at full capacity requires coordinated decision-making across the different functions in the plant, chief among which are maintenance and production. This requires a single-source-of-truth for decision-making – centralized data collection and analytics to support production as well as maintenance decisions. This includes analyzing machine data to support production decisions such as improving

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