Can Digital Twins Prove to be a Game Changer in the Manufacturing...

Can Digital Twins Prove to be a Game Changer in the Manufacturing Sector?

By Manufacturing Technology Insights | Wednesday, June 24, 2020

An identity-driven IoT platform is the only solution for secure access, data integrity and comprehensive management capabilities the organizations need to enhance relationships between people and systems.

FREMONT, CA: The fastest enhancing applications of IIoT, the digital twin has been around for an extended period. With IoT technology, creating a digital twin can be cost-effective. Industry 4.0 is used at present to fight the pressures of enhancing the operational costs, domestic labor shortage and weakening dollar in many countries. The advantages of digital representation of the physical object are clear. In recent research by the Gartner Group mentioned that the use of digital twins would triple by 2022.

Below given are some of the significant benefits of digital twins in the manufacturing industry. Top 10 Rubber and Tire Tech Solution Companies - 2020

Product Design

Conversions of production to other products or smaller series can be run through first in the digital twin. It permits the organizations to both models how product customization will affect the production process and change how the process works to support this customization. For instance, the digital twin can offer specific product data to the production facilities to enable it to create a different product variant without extensive re-tooling that suspend the line for weeks.

Product Development

Virtual simulations help with the development of new product and product variants. Data collected from the use of a product can also help it to develop and improve version control. The digital twin allows the firm to blend data from the production system with data from other enterprise applications. These applications include Enterprise Resource Planning, CRM or Customer Experience Management systems so that the firms can consist of real world feedback on product use during the product re-design process.

System planning

The analysis of historical-comparative data from similar systems within the plant makes it possible to predict the performance of a system that has not yet been constructed. The digital twin allows them to use the data to model different scenarios for the new equipment and identify areas where new plants can be improved over previous production systems.

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