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With the advent of Industry 4.0, which focuses on real-time connected ecosystems, it has become pertinent to improve collaboration among business functions quickly to respond to any change in the industry value chain. Digital Twin fulfills this need for collaboration by bringing new-age technologies like the cloud, Internet of Things, AR/VR, 3D drawing solutions, and simulation software together. Building a digital twin of a product picked up the pace as it was very helpful in expanding the service portfolio through value-added services and increasing market share by introducing a new model of products faster in the market. Over a period, the product digital twin extended to plant assets and process level to provide a virtual representation of every moment of plant, process, and people connected to deliver an SKU.

The digital twin framework helps create a 360-degree view of the process and the product by leveraging technologies such as IoT, big data analytics, and machine learning coupled with cognitive analytics and simulation techniques. The framework enables the identification of any possible flaws before the deployment of physical processes. Virtual spaces and objects are typically 2X-10X less expensive and time consuming as compared to their physical counterparts. Pilot process digital twins provide real-time feedback and help in supporting the implementation. This provides a significant leap toward operational excellence.

Key Differentiators

 
Solution accelerator like device and data management to onboard machine faster

Solution accelerator like device and data management to onboard machine faster

Library of industrial machinery and asset template to build asset twin

Library of industrial machinery and asset template to build asset twin

Cross functional analytics and IT-OT orchestration scenarios

Cross functional analytics and IT-OT orchestration scenarios

Deep knowledge and wide experience in area of factory automation and MES domain

Deep knowledge and wide experience in area of factory automation and MES domain

Pre-built analytical model to support use cases like predictive maintenance and quality

Pre-built analytical model to support use cases like predictive maintenance and quality

Our Capabilities

 
4Rs: Provide right data in right format at right time to right persona

4Rs: Provide right data in right format at right time to right persona

Improve collaboration among different business functions across the enterprise

Improve collaboration among different business functions across the enterprise

Support LEAN + AGILE manufacturing initiatives of business

Support LEAN + AGILE manufacturing initiatives of business

Data-driven new investment decisions in product development and facility expansion

Data-driven new investment decisions in product development and facility expansion

Videos

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