Intelligent Performance Engineering tackles the challenge of machine complexity

industrial machinery

Machines and equipment are becoming much smarter, increasing in complexity, becoming lighter and more personalized to meet specific end-user needs. To stay ahead in this competitive environment requires industrial machinery companies to adopt advanced design and simulation practices using Intelligent Performance Engineering (IPE). 

Intelligent Performance Engineering (IPE) addresses these issues with key differentiators: multi-physics simulation and testing, integrated design and simulation and closed-loop validation.

Rahul Garg
Rahul Garg, Vice-president, Industrial Machinery and Heavy Equipment of Siemens Digital Industries Software

In a recent engineering.com article, Rahul Garg, Vice President of Industrial Machinery and Heavy Equipment at Siemens Digital Industries Software, discusses the competitive industrial machinery landscape, driving machine builders to consider and adopt new designs, simulation and testing methods. 

Read the article.

Technological advancements are driving companies to evaluate how to address customer needs and utilize digitalization. A need for more flexible and complex machinery demands evaluating machine behaviors and performance to provide data back into the machine model and development process.

Simulation reflects the interdependency of electromagnetic interference, structural loads, heat and vibration inclusively. Therefore, a design can be proven safe, but it may not explore the many engineering trade-offs’ in performance. Unfortunately, the designer can overcompensate with being too cautious, resulting in added weight, cost or reduced performance to meet safety requirements.

Advanced simulation experts can address some of these issues, but they are not always familiar with the design criteria and goals at a granular level. Hence, this scenario results in delays with a risk of analyzing an outdated design which requires designers to wait for the physical prototype testing phase to examine and validate the many aspects of the machine’s multi-domain performance. Subsequently, they must find and fix the problems at the prototype stage, which is expensive and time-consuming.

Read Rahul Garg’s full article in engineering.com to learn more about how Siemens is solving these issues using IPE advanced software.


Siemens Digital Industries Software and Intelligent Performance Engineering (IPE) makes it easy to adopt and facilitate digital transformation with an increasing need for higher performance in machine building.

Siemens Digital Industries Software is driving transformation to enable a digital enterprise where engineering, manufacturing and electronics design meet tomorrow. The Xcelerator portfolio helps companies of all sizes create and leverage digital twins that provide organizations with new insights, opportunities and levels of automation to drive innovation.

For more information on Siemens Digital Industries Software products and services, visit siemens.com/software or follow us on LinkedInTwitterFacebook and Instagram.

Siemens Digital Industries Software – where today meets tomorrow.

Related links:
IPE Podcast01
IPE Podcast02
IPE Podcast03
IPE Podcast04

About the author
Rahul Garg is the Vice President for Industrial Machinery & SMB Program, responsible for defining and delivering key strategic initiatives and solutions and global business development. He and his team are 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. Rahul’s experience and insight are derived from 25 year career delivering software-based solutions for product engineering and manufacturing innovation for the global manufacturing industry, spanning a career in R&D to program management, sales and P&L management and having focused exclusively on the industrial machinery and heavy equipment industry since 2007.

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