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The digital twin comes to life This idea is beginning to take hold in several major manufacturers. GE is piloting a “digital wind farm” concept, which it uses to inform the configuration of each wind turbine prior to procurement and construction. Once the farm is built, each virtual turbine is fed data from its physical equivalent, and software enables optimization of power production at the plant level by adjusting turbine-specific parameters, such as torque of the generator or speed of the blades. The hope is to generate 20% gains in efficiency. PTC has developed a “Smart Connected PLM” software product called “Windchill.” The Swiss solar panel manufacturing company Oerlikon uses Windchill to automatically track system metrics and keep account managers apprised of the condition of their customers’ systems. PTC describes it as a FRACAS process, a failure reporting, analysis and corrective action system. Dassault Systèmes has built an aerospace and defense-specific manufacturing operations management product called “Build to Operate.” It provides the ability to monitor, control and validate all aspects of manufacturing operations — ranging from replicable processes and production sequences, to the flow of deliverables throughout their supply chain — each on a global scale. Airbus Helicopter has deployed this system for current and future helicopter manufacturing. In every industry, we see the increase of data at both higher velocity and volume. This is leading to the creation of more machine learning algorithms designed to learn incrementally over new data. In manufacturing, these new algorithms will take the form of digital twins capable of helping manufacturers design and build new products more efficiently. What do you think? Are there any compelling manufacturing products or processes that would benefit by creating a digital twin? JC Brigham CSC ResearchNetwork Analyst Joan-Carol (JC) Brigham has been an analyst within CSC’s ResearchNetwork for 8 years. She has led strategy work and managed much of the startup of industry research within the ResearchNetwork. Right now she is a principal and business manager analyzing the manufacturing industry. Prior to joining CSC she worked in the services area at Sun Microsystems, and before that, at a small digital marketing company. She stumbled into the high-tech market analysis profession during her 15 years as an IDC analyst. JC lives in the mountains of Colorado, loves the outdoors and travels as much as she can. Jerry Overton CSC Distinguished Engineer Jerry Overton is head of Advanced Analytics Research in CSC’s ResearchNetwork and the founder of CSC’s FutureTense initiative, which includes the Predictive Modeling Research Group, the Advanced Analytics Lab and the Predictive Modeling School. 1 http://www.csc.com/big_data/insights/138011-what_is_industrial_machine_learning 12 <strong>FORWARD</strong>: A CSC MAGAZINE
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Page 1 and 2: FORWARD Next-Generation Manufacturi
Page 3 and 4: Table of Contents 2 PUTTING IOT WIT
Page 5 and 6: “This is not just automating the
Page 7 and 8: 3. VR/AR With Facebook’s Mark Zuc
Page 9 and 10: Autonomous driving and electric car
Page 11 and 12: Q&A Under the Hood with Ford Roopak
Page 13: Prescriptive data, and pipelines Cr

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