All companies can improve data management to avoid the most common CAD design timewasters, thereby boosting their engineering productivity. They achieve this by enhancing design data management maturity, enabled by PDM and PLM solutions. And this results in the reduction of non-value-added time, freeing up your engineering resources.
How mature are your data management capabilities?
Engineering data is in high demand outside of Engineering. Engineers frequently must prepare their CAD models for consumption by others. Manually creating drawings, translating models for downstream use, prepping visuals, or simply finding designs for others takes time and interrupts the creative process. As the appetite for 3D across the business continues to increase, for example, to fuel sales presentations or virtual reality service procedures, this problem will become even more challenging.
Design with confidence and save time with reuse of design data
Whether it’s a PDM system or part of a broader PLM solution, appropriate design data management must ensure that CAD designs are under control and can be retrieved as needed. The ability for engineers to quickly access information based on a range of criteria is also essential for effective design productivity. Once accessed, the data should be readily available to all stakeholders for collaboration and reuse.
Designers today have less time than ever before. They must quickly assess new design criteria without reinventing the wheel because unreasonable search and retrieval times create frustration and drive inefficient behavior.
PLM systems control access beyond engineering by integrating with downstream people and systems
Design data management systems can automate common data sharing tasks so that frequently used derivatives are always available to those who need them. For example, design check-in could trigger the creation of thumbnails and design formats to be used downstream. But beyond creating these deliverables, PLM systems also control access beyond engineering and integrate with downstream people and systems. And this eliminates the need for manual effort to share data, a high priority to ensure engineering efficiency.