Watch Intelligent Performance Engineering in action

By Jason Meyers

Intelligent Performance Engineering (IPE) combines integrated design and simulation, multiphysics simulation, and closed-loop validation.

By embracing IPE, machine builders can design and construct better, more efficient machines faster than before.

The three main concepts of IPE can be broken down into six integrated process steps:

  1. Concept design and machine simulation
  2. Frontloading simulation
  3. Prototyping and testing
  4. Virtual commissioning
  5. Startup and physical commissioning
  6. Closed-loop validation

A machine builder turned to IPE and these steps when they received a request to add a visual detection system, increase throughput, and improve the energy efficiency of a bottling machine.

Watch the clip from a previously recorded webinar to witness the process they used to quickly deliver results to their customer.

Intelligent Performance Engineering (IPE) in action

Using Intelligent Performance Engineering, the machine builder created a detailed multi-domain system design and ran their design through simulation for immediate feedback.

This allowed them to build a more optimized physical prototype to test and compare the results with earlier simulations.

With the final design complete, they used IPE methodologies to validate and calibrate PLC logic in the virtual machine, and once complete, they used the same virtual environment to train machine operators for the physical startup and commissioning process.

Once the machine is up and running, the machine builder inputs IoT data from the physical machine into the virtual machine to monitor performance.

Learn more about Intelligent Performance Engineering

Forward-thinking companies are solving problems with new Intelligent Performance Engineering methods, and this educational on-demand webinar provides an introduction.

For an in-depth look at this topic and more, read the introductory white paper, “Intelligent Performance Engineering: A new approach to machine building.”

Leave a Reply

This article first appeared on the Siemens Digital Industries Software blog at