Executive Summary
The present industrial landscape, marked by rapid innovation and ceaseless improvements, has made businesses operate in an era where sustainability, agility, and intelligence are paramount. To meet evolving customer demands for cutting-edge and environmentally friendly products, and keep up with the pace of progress, businesses need to incorporate sustainability, agility, and intelligence into the very core of their operations. And here, data plays a crucial role in driving this transformation.
Technical Overview
The digitization journey commences by merging the real and digital worlds across the lifecycle for both product and production. This integration leads to the emergence of new streams of data between all key areas for product and production, including engineering models, test results, materials, building processes, automation code, performance data, and more.
System Architecture
These data flows can be considered as ‘horizontal’ flows that traverse the spectrum from product development to production and between engineering domains across functional groups. Such a data-driven approach empowers businesses to boost and optimize their processes across the organizational landscape.
Implementation Details
The integration of the digital and the real world facilitates seamless data flow between all stakeholders involved in the development of a product or production process, and supports companies on their sustainability journey. It empowers businesses to achieve more while using fewer resources.
Code Examples
With the help of Digital Twin technology, engineers can run multiple design iterations to find optimal solutions in both product design and production planning, accelerating design cycles while reducing cross-domain integration issues.
Performance Analysis
By harnessing the power of data, teams can communicate more clearly and quickly, fostering more effective and frequent collaboration. It also helps in overcoming the complexity of modern products and production systems.
Security Considerations
As businesses embark on their digital journey, it’s critical to ensure data security. Strategies like IT/OT integration should be in place to protect the data integrity.
Troubleshooting
Problems in data flow can cause delays or errors in product and production development. Therefore, it’s essential to have robust troubleshooting mechanisms in place to handle such issues.
Conclusion
Recognizing the value of organizational data and combining the real world with the digital one, enables the meaningful collection, comprehension, and usage of generated data. This ultimately allows companies to stay competitive in the fast-paced industrial landscape.
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