|
|
|
 |
 |
A critical part of the product development process, and one which is often overlooked or underachieved, is the consideration of
alternative designs or products. Many studies are performed throughout the Product Development Process which can provide a variety of critical
decision-making information such as:
- Determining how well design meets the customer requirements
- Enabling engineers to quickly consider design alternatives and iterate toward an optimum solution
- Determining overall product architecture
- Analyzing how the compilation of systems fit together
(including the parts themselves and the resources used in their construction)
- Understanding manufacturing and material constraints and limitations
- Determining process and assembly requirements
Armed with this information beforehand, engineers are able to intelligently weigh the costs versus benefits before proceeding and avoid potentially costly and time-consuming changes. More importantly, they can reduce the risk of product failures by ensuring that designs will meet or exceed your customers’ expectations.
V5 Product Lifecycle Management (PLM) Solutions from Dassault Systèmes improve the efficiency of engineers conducting these “studies” and help organizations allocate more time to innovation by providing the 3D product, process and resource knowledge needed to optimize product quality, manufacturability and profitability. Built upon a common architecture and integrated with best-in-class CATIA and DELMIA solutions, ENOVIA V5 provides a virtual, collaborative PLM environment where stakeholders can quickly visualize, test and validate design alternatives within the context of rich product features - or the entire spectrum of products and lifecycle processes.
Dassault Systèmes Services Professionals can help your team leverage this power through training, process optimization and project proofs of concept to implement a solution that enables you to consistently identify the best innovative options for the least cost and to dramatically reduce the drain on resources caused by failed products. |
 |
|
|
|
|
|
|
|
|
|
|
|
|
 |
|
|
|
|
|
|
