The increasing product complexity (smarter products, designing new material and methods (Manufacturing methods), and customization), development processes and design teams, challenge you to (evolve product engineering practices to meet these new challenges.) product engineering practices find new tools and methods to deliver greater innovation and higher quality at a lower cost. (Companies that fail to recognize and react to these changes risk losing business and market share).
So, how can you respond to these new challenges?
What if you could adopt new practices and tools to give them a competitive edge?
What if you can use all the data across multiple engineering activities and convert this into meaningful insights that can drive product decisions faster than the competition?
The biggest dilemma that CAE department face is:
- Multiple tools for multiple applications
- Lack of coordination between simulation and design teams leading to multiple iterations in design
- Lack of transparency leading to limited visibility impacting business
- Resource, budget, and tool constraints
The easiest and the fastest way to accelerate the product development process, from design to manufacturing is, to take an integrated approach wherein companies must evolve their product engineering practices without compromising the design quality, time to market, and cost.
You need an all-inclusive solution that delivers a 3D product design, simulation, collaboration, and visualization tools to complete the engineering process. Such a solution eliminates the time taken to translate data between departments that often results in errors.
Need for End-to-end Solution to Innovate, Collaborate and Develop Better Product
Think of the development process that goes into the making of a car. It requires an in-depth analysis of the working of the engine compartment, acoustics to understand the noise levels and structural analysis to understand how the car frame will flex and its durability analysis to predict its life.
The analysis can be done using multiple simulation tools. But that is a challenge because engineers need to manually transfer data between each tool for each type of analysis iterations. This can lead to errors and discrepancies. Furthermore, engineers then need to be proficient in multiple software tools and user interfaces, further complicating their task.
So you need an integrated solution that addresses all the above challenges.
