SOFTWARE UPDATE NEWS ABOUT DIGITAL MANUFACTURING TOOLS AND SOFTWARE
New Machine Analytics Software Offers “Digital Twin” Modeling of the Factory Floor
s Manufacturing Engineering: Your company recently
released an update of its manufacturing analytics platform. What’s new in Sight Machine 2.0? Jon Sobel: Our focus has always been on helping manufacturers improve quality, productivity and visibility. In Sight Machine 2.0, among other things, we’ve added a set of enhancements to improve visibility. At the core of our platform is what we believe is the
world’s only plant digital twin. We’ve seen companies like GE and Siemens use the digital twin concept to describe digital models of individual machines like jet engines. By contrast, our plant digital twin offers sets of analytical models that mir- ror the entire production process, encompassing machines, lines, plants or supply chains. The breadth and depth of visibility needed by a user de- pends a great deal on the user’s job function. Sight Machine 2.0 introduced Contextualized Dashboards, which can be confi gured to provide different users with the views their roles demand. While the machine operator tracks sensors on an individual machine to monitor quality or troubleshoot, the corporate manager can perform analyses that encompass whole plants, divisions or regions.
We’ve also added Global Ops View, which on one screen lets executives track output in real time, worldwide or by coun- try, plant, machine, machine type or contract manufacturer. The Downtime Classifi er in Sight Machine 2.0 uses machine learning techniques to quickly identify the cause of unplanned downtime. It is calibrated during initial setup, and
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AdvancedManufacturing.org | December 2016
then continuously improves its capabilities through machine learning. We have also continually added more analytical tools and improved our existing ones. ME: How critical is it for builders in today’s fast-paced man- ufacturing environment to have manufacturing data analytics? Sobel: Digital capabilities are increasingly seen as a must- have for manufacturers. The fi rst reason is that manufactur- ing analytics solve manufacturing’s perennial challenges: ensuring quality and improving productivity. Additionally, manufacturers are contending with new forces: legally- mandated traceability; distributed manufacturing; increasing customization and build-to-order; and growing demands to manage attenuated supply chains.
Perhaps most important, manufacturing leadership at many companies has deemed digital technology a strategic imperative. Major companies are investing heavily in building out data strategies that ultimately link PLM and design, pro- duction, and product lifecycle data, as well as fi nance, and sales and marketing information. These efforts are seen as essential to achieving and sustaining leadership. Those com- panies that systematically develop capabilities to understand and use production data will lead; those that don’t will lag.
“Our plant digital twin offers sets of analytical models that mirror the entire production process, encompassing machines, lines, plants or supply chains.”
ME: What manufacturing operations are best using this type of technology today? Sobel: This technology is appropriate for any type of manufacturing process where data is captured. Our current customers run the gamut of industries, including in the au- tomotive sector [at both the OEM and supplier levels], ap-
Jon Sobel CEO
Sight Machine Inc. (San Francisco)
www.sightmachine.com
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