Today many companies are utilizing simulation and testing to address these questions in product development. How do you judge where you are in comparison to others?
Read this research-based ebook by Lifecycle Insights to learn about the role of simulation and testing in streamlining product development and manufacturing processes. Read the answers to key questions such as how are leading companies progressing with their digital transformation goals? What is the key to making better design decisions while needing fewer engineering change orders and days in inventory? How can you apply simulation driven design? Can you combine simulation and test approaches for success?
Discover simulation and testing advantages for more competitive product development
How are you using simulation today and at what stage? Have you minimized physical prototyping? Are you using measurement and testing alongside simulation effectively? How are you managing and sharing data from simulation and testing and realizing value in that data fully?
To overcome increasing complexity in modern products and bring them to market competitively, constantly evaluating and adopting innovative approaches to simulation and testing is logical. In this research-based eBook, there is consideration of many topics such as: simulation-driven design for designers; adoption of automation and templates for engineers across diverse teams to evaluate complex systems configurations and performance; emerging best practices on using measurement test data in simulation; through to modeling of actual product manufacturing processes and more. The insights and comparisons of different companies' progress cover the uses of simulation and testing throughout the product lifecycle.
Digital Transformation - Insights from an industry report
This ebook highlights the role of simulation and test in streamlining product development and manufacturing processes. It is based on a report of a cross-section of companies that are at different stages of digital transformation adoption. The observations compare the most progressive and least progressive companies against critical business parameters. Read the eBook to gain insights and qualify where your team is on the digital transformation path and also basic recommended steps that can be taken to start the journey or improve adoption.
How to realize simulation driven design and simulation democratization benefits
Earlier simulation helps to eliminate late-stage design changes to reduce prototyping and rework costs. Putting simulation in the hands of designers and design engineers helps them make timely design decisions. It frees up dedicated analyst resources to focus on other high value tasks.
Frontloading simulation often refers to direct simulation within the CAD environment for task such as 3D CFD, structural analysis, topology optimization and other analysis. These tools must suit designers' workflow, skills and experience level for success. Democratization of analysis tasks can also extend to using accessible simulation template template-based tools or apps that designers can leverage to explore system architecture and configurations more easily plus collaborate with other engineers across diverse teams. These approaches help move simulation earlier in product development and support increased confidence in simulation-driven design methods.
Read more about how different companies are shifting simulation left in product development and how companies are also addressing simulation data management challenges and improving collaboration.
Combining simulation and testing or hybrid approaches in product development
There are many ways to enhance simulation with testing or augment test strategies with simulation all with the end goal of product improved performance or reliability. For example – measurement data captured from physical product testing can be used as inputs in simulation to improve modeling of operational scenarios. This can also work in reverse where virtual test profiles are explored before a product is physically tested to determine the most suitable accelerated testing profile. A further example is where engineers calibrate simulation models against test data to achieve highest-fidelity accuracy in a wider range of simulations than there is time to test.
The report also touches on the adoption of software in the loop (SIL), model in the loop (MIL), and hardware in the loop (HIL) approaches.