digital twin

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Published By: HERE Technologies     Published Date: Jan 23, 2020
Explore Digital twins, smart cities and urban modeling From the increasing demands of citizens, to resilience and sustainability requirements, cities are looking for multi-point, fundamental solutions and key technologies to better address the many issues they are facing. Digital twins and urban models not only help optimize the design, planning, construction and operation of urban infrastructure, but they also excel as predictive models for flooding, traffic, energy generation, and consumption patterns. Access the latest analyst paper by ABI Research and HERE Technologies, Digital twins, smart cities and urban modeling, as it details: • The relevance of digital twins for smart cities • Definitions and types of models • Modeling technologies, techniques and use cases • Benefits and challenges of digital twins and urban models for cities • Short- and long-term forecasts
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HERE Technologies
Published By: SAP EMEA Global     Published Date: Aug 23, 2019
A network of digital twins visually communicates information about products, manufacturing, supply chain, service, and customers for program, scenario, and role-based analysis, and ultimately better collaboration across your business network.
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SAP EMEA Global
Published By: Dassault Systèmes     Published Date: Nov 11, 2019
"The term Value Network describes enterprises that truly connect into a network of partners that collaborate and communicate with lightning speed and agility. The supply chain is now overshadowed by interconnected Value Networks. One example for Value networks applications is the digital twin, where the physical environment is replicated in a virtual model to harmonize new product design, process design and manufacturing design with planning, logistics, service and execution. When the virtual world and real world truly work together, we are able to speed up decision-making, reduce risk and cost, deliver great customer experiences, and minimize waste to make businesses more sustainable. Dassault Systèmes DELMIA,powered by the 3DEXPERIENCE platform, delivers the solutions to industries and service providers to transform their operations and orchestrate their entire Value Network."
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Dassault Systèmes
Published By: Dassault Systèmes     Published Date: Nov 11, 2019
Getting transformation right in today's competitive world is critical, and one key factor is the ability to manage and use data to achieve enterprise Strategic Objectives. A Digital Twin is often at the very heart of the metamorphosis. Every single product has definable characteristics in the real world, and the Digital Twin combines and portrays the attributes virtually. In a perfect world, the Digital Twin would capture every single attribute of a product or system and its processes. In reality, the technology is still evolving to accomplish this vision and we're not there yet. That doesn't mean manufacturers can't proceed with and derive tremendous value from a simpler virtual model.
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Dassault Systèmes
Published By: Dassault Systèmes     Published Date: Nov 12, 2019
The Life Sciences industry has changed significantly over the past 10 years. With a view to developing new, more effective treatments, industry leaders are exploring new therapeutic areas and approaches like biologics and precision medicine. To address this shift, pharmaceutical and medical devices manufacturers look to connect systems, people and data - characterized by more predictive and adoptive facilities that leverage machine learning, 3D modeling, Industrial Internet of Things (IIOT), digital twin, and augmented reality. This eBook explains the main challenges of manufacturing and explores 5 manufacturing experiences that disrupt the future of manufacturing in the Life Sciences industry.
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iiot, medical device, life sciences, machine learning, 3d modeling, digital twin
    
Dassault Systèmes
Published By: GE Power     Published Date: Oct 05, 2016
Gathering machine sensor data for analysis across a power plant is only the beginning. The Digital Twin takes analytics to the next level by creating a virtual analytic model of assets within the plant. With the GE Digital Twin power companies can understand how assets are performing in real time, and predict future performance.
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digital power plant, digital power, digital power station, distributor solution, efficiency of power generation, industrial power
    
GE Power
Published By: Dassault Systèmes     Published Date: Jun 19, 2018
The concept of a virtual, digital equivalent to a physical product or the Digital Twin was introduced in 2003 at a University of Michigan Executive Course on Product Lifecycle Management (PLM) taught by Dr. Michael Grieves. In light of these advances, it is timely to explore how the Digital Twin can move from an interesting and potentially useful concept that aids in understanding the relationship between a physical product and its underlying information to a critical component of an enterprise-wide closed-loop product lifecycle. Understand how focusing on the connection between physical product and virtual product will improve productivity, uniformity of production, and ensure the highest quality products.
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Dassault Systèmes
Published By: Dassault Systèmes     Published Date: Jun 19, 2018
This spotlight report examines: • How Manufacturing Operations Management (MOM) or Manufacturing Execution Systems (MES) are key enablers of data management and Digital Transformation. Companies can combine many other opportunities with manufacturing operations in a digital journey. • Product lifecycle management (PLM) as a high-value discipline to pair with MOM in discrete manufacturing, and the value of digital continuity across engineering, manufacturing operations, and supply chain. • A robust integration of MOM and PLM technologies and the advent of the Digital Twin (a virtual copy of the product and how it's made) to demonstrate maturity in Smart Manufacturing and the ability to make smart products in smart factories. The IIoT has opened up a world of opportunity for manufacturers. Take advantage of it.
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Dassault Systèmes
Published By: Dassault Systèmes     Published Date: Nov 12, 2019
The Life Sciences industry has changed significantly over the past 10 years. With a view to developing new, more effective treatments, industry leaders are exploring new therapeutic areas and approaches like biologics and precision medicine. To address this shift, pharmaceutical and medical devices manufacturers look to connect systems, people and data - characterized by more predictive and adoptive facilities that leverage machine learning, 3D modeling, Industrial Internet of Things (IIOT), digital twin, and augmented reality. This eBook explains the main challenges of manufacturing and explores 5 manufacturing experiences that disrupt the future of manufacturing in the Life Sciences industry.
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Dassault Systèmes
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