Perfect Test

Use virtual testing to meet design specifications while accelerating package development efforts

Designers and Engineers need to make sure that new packages can be made, packed and shipped to the store. In the past, engineers dedicated significant time, energy and resources to conduct a large number of physical tests to ensure packaged met all of their technical criteria. When a packaged design failed, engineers took a “trial and error” approach to identify the design flaw often driving up costs and delaying time to launch.

Perfect  Package virtual testing enables designers to simulate how a new package design will behave at every stage of its lifecycle, resulting in lower costs, improved sustainability and faster time-to-market. It creates a common platform for packaging and manufacturing engineers to optimize designs significantly faster than physical testing. This ensures the package delivers the desired consumer experience and drives the consumer to place the product in their shopping basket.

Perfect Package enables encapsulation of complex optimization/simulation into black-box models, making simulation processes accessible to Users who may be Experts in a different domain, but not in simulation. These Users are able to easily streamline the use of these processes to simulate the effects on the package of stacking, crushing, dropping, and sloshing to prove-out their designs.

Perfect Package also helps designers and engineers look for ways to create for sustainable packaging that delights the consumer and yet is gentle to the earth.  Package engineers can look for ways to lessen the amount of material used and therefore create less waste. Manufacturing engineers can analyze a bottle to make sure it can be made, packed and shipped in the most efficient way and well as lowering the total weight which decreases both transportation costs and carbon emissions.

Key Highlights and Benefits

  • Enables evaluation of multiple design alternatives up-front in the design process and transforms simulation data into verifiable decisions 
  • Improves confidence in simulation results by capturing and reusing realistic simulation IP and leverage company best practices
  • Enhances collaboration and democratizes simulation insight for non-simulation users by using high performance results visualization to evaluate package performance and manufacturability
  • Enables rapid turnaround time of large models using high-performance computing resources to permit more design alternatives to be considered

When the SIMULIA analysis shows that we need to make a design change, the CATIA model is adjusted to reflect that. We have reduced our design cycle times by 50%.

Suresh Krishnan Group Manager Advanced Engineering Services, Amcor