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Perspectives
The future of product development is model-based
Learn how the capabilities of Digital Twins and a model-based enterprise can help your organization achieve better and faster results in a product’s life cycle.
In a Deloitte study, we found that companies that switch to Digital Twins and move to become model-based enterprises see significant savings between 70% and 80%. Discover how you can help your organization create a seamless flow of information, increase your cost savings, and achieve faster product cycle times.
Ready to transform the product lifecycle of your organization?
Start your Model-Based Enterprise journey
Let’s talk Digital Twins
It is critical to talk about a comprehensive Digital Twin instead of a silo in this post-pandemic world. Digital Twins are virtual models of the physical product or system they represent. They’re the building blocks for MBE that no longer rely on drawings and static data. To have a comprehensive Digital Twin requires a multifunctional scope and the idea of a Product Digital Twin that can consider process, production, and service.
Many companies have invested in Product Digital Twin, in part because they’re most familiar with this type of Digital Twin. It defines features and requirements, develops concepts and detailed design, and simulates and validates a product. However, a model-based definition—of creating a 3D model of the product—and model-based systems engineering are needed to simulate all aspects of a product. These MBE features are important for looking at the cross-functional requirements you need early in the design, eliminating the downstream churn, and driving the most impact.
The Smart Factory and Supply Chain Digital Twin are digital models of manufacturing equipment, processes, and related operations personnel that aid in the planning, building, and sourcing of a product. Organizations use this type of Digital Twin to simulate the launch of their new product. Companies often wonder how else they can use this software. At the same time, less than 5% that create Digital Twins on the shop floor combine their manufacturing and ERP data with supply and demand to make predictions about their product or potential issues.
The Service Digital Twin is used to operate and maintain a product. A Service Digital Twin deals with serializing a product, testing physical product performance and configuration, and accrual service records for maintenance, repair, and overhaul.
What’s next for the MBEs of 2040
In the next 15 to 20 years, we expect MBEs to make breakthroughs in generative design for complex assemblies, automated design simulation, advanced manufacturing of complex assemblies, supply chain towers and data assets, information flow, and real-time insights.
Ready to get started? Deloitte’s market-leading digital transformation experience, deep industry knowledge, and a full breadth of services, combined with Siemens’ preeminent digital product development and digital thread capabilities, can help your organization achieve better results and see improvements in development efficiency, faster time to market, reduction of product cost, and a decrease of cost of quality.
The Deloitte and Siemens alliance
The Siemens and Deloitte alliance puts your success at the center of everything we do to deliver end-to-end enterprise transformations that help you move quickly from road map to value realization.
Get in touch today and begin your transformation to a model-based enterprise.
Get in touch
Vijay Santhanam
Product Strategy & Lifecycle Management Leader
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