Digital Thread Resources

Rising complexity of systems across the industrial landscape are driving the need for transformational technologies to manage requirements in the context of total product configuration for companies.

Own the Lifecycle and future-proof your company’s strategic agility with a flexible platform for end-to-end product information, access, and control across your enterprise teams.

The phrase “digital twin” has become the be-all-and-end-all of manufacturing buzzwords, stirring up Utopian views on what it can do for predictive maintenance, simulation and more.

Simcenter engineering and consulting services are offered to help you solve the toughest engineering problems and accelerate product design and development.

The heavy equipment engineering industry is facing key challenges, such as demands for increased machine noise and vibration (N&V) performance.

The Siemens and Identify3D technology suite protects confidentiality and integrity of data in the digital manufacturing thread, providing intellectual property protection, manufacturing repeatability and traceability to counter constantly evolving cybersecurity threats.

The articles compiled in this special digital issue focus on how vendors are reacting to the need to digitize the factory floor and connect it all the way back through the enterprise to front-end product design and development.

This webinar will focus on strategies for handling three classes of CAE modeling challenges: 1) insufficient or inadequate sampling of a design space, 2) high computational expense of simulations and 3) disagreement of simulation models with physical tests. Discover how statistical methods can...

In this online roundtable discussion, DE’s Senior Editor Kenneth Wong will interview industry experts to share their thoughts on the promise of digital twins, the current state of the art, and the challenges being faced during early implementations.

Time-stamped temperatures collected in the field, user heart rates accumulated in health monitoring devices, acceleration data captured by smart vehicles--there's a wealth of wisdom in sensor-captured data, but working with it requires special knowledge and tools.

Increasing product complexity is fueling the need for a far more sophisticated, digital design environment that demands levels of processing power beyond the capacity of yesterday’s workstations. Download this paper to learn 5 ways to know it's time to change...