white paper

Aerospace product development

An airplane flies straight toward the camera with blue water below and colorful clouds from the setting sun behind it

Aerospace and defense companies of all types and sizes are tasked with taking complexity and making it simple. This complexity has increased exponentially, forcing many companies to rethink their aerospace product development process and how they can accelerate it to meet the demands of today’s competitive market.

In this white paper, learn how digital transformation that includes model-based systems engineering (MBSE) can accelerate product development, providing both cost and time savings.

Successful product development examples

Aerospace and defense products today require tools and systems that support tweaking and refinement, along with the understanding of how a single change could alter performance, reliability, readiness and cost outcomes. A digital thread approach that starts with model-based systems engineering sets the foundation for program execution excellence by creating a digital ecosystem that connects the entire lifecycle of data and information for a product. Learn about successful product development examples at companies like Boeing, Bye Aerospace and Newport News Shipbuilding.

Aerospace digital transformation

The model-based engineering digital thread is key aerospace digital transformation. Companies need to leverage an open ecosystem that enables the usage of any system modeling tool and connects it to the entire lifecycle of data and information needed to certify, deliver and maintain new products.

Download the white paper now to learn how the Siemens Xcelerator portfolio can help your company with its digital transformation.

Share

Related resources

Intelligent performance engineering is helping deliver the digital twin for production machinery
Webinar

Intelligent performance engineering is helping deliver the digital twin for production machinery

Watch this webinar demonstrating the power of Simcenter and a comprehensive digital twin in industrial machinery using an example from a production machine.

Rocket scientists use Teamcenter to manage multi-step analysis chain and make faster, more informed decisions
Case Study

Rocket scientists use Teamcenter to manage multi-step analysis chain and make faster, more informed decisions

Integrating simulation data from hundreds of tools, ULA can easily track the results from step-to-step and know when an analysis should be rerun