Cost Optimization
Virtual validation and mathematical model reduces the number of physical prototypes.
Advising from ideation to launch with a focus on new generation smart products that include electrification, smart machines and automotive products
The rise of New Generation Smart Products (NGSPs) such as electric vehicles, autonomous systems, and IoT-enabled machines has transformed New Product Introduction (NPI) process. While Virtual Product Development (VPD) has reduced the design engineering lead times by nearly 50%, the validation and integration of NGSP components, modules and Systems to a machine can be challenging. The validation and integration completion can be a very iterative and time consuming via a conventional PD cycle.
NGSP components present complex engineering and integration challenges. Unlike traditional mechanical systems, a NGSP, whether be it a controller, motor, or electronic control unit (ECU), each functions as an intelligent entity with behavior that varies over time, temperature, and operational conditions. This requires testing and validating with multi-variable conditions and iteration loops as part of system validation.
As an example, in electric vehicles (EVs), every subsystem must be validated not just in isolation, but in harmony with interacting components. This level of system-level verification demands a robust validation approach that accounts for component interaction, system decay, and performance repeatability over time. One of the feasible methods to accomplish validation is through “Digital twins.”
Without a smart and scalable product validation strategy, these complexities can quickly inflate program costs and threaten profitability.
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Design Maturity at Speed
Problems are detected early in the development cycle, reducing late-stage failures.
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Enhanced Product Integrity
NGSP component requires multi loop validation, best achieved via simulations of real-world use cases.
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Portability across Programs
Virtual models and digital twins can be reused across multiple NPIs, optimizing time and resources.
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Shift of the Bell Curve
Most critically, VPD, Digital twins and AI enables a shift from traditional assumption-based development to data-driven engineering.
We help clients in building smart solutions that can be extended to many more NPIs, one of them being the “digital twins for validating the NGSP.” This optimizes the costs for the future NPI budgets.
At HED Consulting, we specialize in helping organizations make the right investments in the product development cycle for achieving Quality, Performance, profitable product on time to the market. We have enabled clients to reduce their NPI cost by more than 50% through smart solutions.
