Problem statement

In modern automated logistics and warehouse environments, plant control software must operate reliably across a wide variety of pallet types, each with distinct physical and dimensional properties. Currently, no structured digital representation of pallet data exists that can be systematically fed into the plant simulation model, leaving regression testing largely dependent on physical, on-site trials. As a consequence, when new software versions are released, their compatibility with the full range of pallet types—including special or atypical variants—cannot be verified in a virtual environment prior to deployment. This gap forces engineering teams to conduct repeated physical pallet tests, a practice that is both time-intensive and resource-costly. Furthermore, the absence of a centralized, validated pallet database limits the plant model's fidelity and prevents meaningful simulation of edge cases. Closing ...