Reduce manufacturing and machine design complexity with intelligence performance engineering

Webinaire à la demande | 38 minutes

Intelligent Performance Engineering provides competitive edge solutions for machinery design

intelligent machinery performance engineering
intelligent machinery performance engineering

Factories and plants around the world are looking at how digital transformation can help them innovate in response to changing customer demands, the adoption of new technology and global competition. This is driving demand for more intelligent, flexible, configurable and automated industrial machinery equipment. Industrial machinery companies will need to develop new design practices to keep pace with the growing complexity of these machines.

Optimizing Machinery Design with a Digital Twin solution

A connected digital thread can help automate the processes of sharing information between design teams, analysts, production test teams, and service engineers. This allows teams to evaluate the capabilities and limitations of product variations in the most efficient way. An intelligent performance engineering solution focuses on improvements in simulation, design and connectivity for machine builders

Benefits of closed-loop systems modeling validation and verification

Developing industrial machines requires finding the best balance between productivity, accuracy, reliability, and efficiency. Being able to do that digitally can help you innovate more effectively and deliver higher quality machines than your competitors.

Watch this webinar as we review the value of the Intelligent Performance Engineering solution in greater detail and examine the three key differentiators including:

  • Multi-physics simulation – Improving the performance of smart machines requires multidisciplinary collaboration and simulation across a wide range of physics and disciplines under one umbrella.
  • Integrated design and simulation – How Designers and simulation engineers can use a primary model concept of the same models across tools and keep simulation data in sync with design.
  • Closed-loop validation – Closed-loop processes can validate simulations by capturing and validating the relationships between requirements

Meet our Webinar Speakers for Intelligent Performance Engineering in Machinery & Manufacturing:

Frans A.M. Adamowicz

Solutions Director for Industrial Machinery , Siemens Digital Industries Software

Frans Adamowicz is responsible for supporting the Industry Lead in delivering key strategic initiatives, solutions and global business development. As part of the industries team he is responsible for identifying key initiatives and developing solutions for the industry while working closely with industry leading customers and providing thought leadership on new and emerging issues faced by the machinery industry.

Bill Butcher

Senior Marketing Manager, Siemens Industrial Machinery and Heavy Equipment Industry

Bill is responsible for delivering strategic marketing content including campaign strategy, go-to-market messaging and digital inbound content that communicates the value of the Siemen’s Digital Industries Software portfolio.