Unit Load Optimization & Load Bridging

January 1, 2024 ยท 1 min read

Overview

This research program investigates the fundamental mechanical interactions between unit load components โ€” pallets, corrugated boxes, and products โ€” during warehouse racking storage and transportation. Understanding these interactions is critical for optimizing packaging design, reducing material usage, and preventing product damage.

Key Contributions

  • Developed friction-driven finite element models to simulate load bridging effects in warehouse racks
  • Created Gaussian process surrogate models for rapid prediction of unit load performance
  • Investigated the effect of pallet stacking patterns on unit load bridging behavior
  • Studied the impact of pallet overhang on box compression strength

Methods

Our approach combines computational modeling (FEM, machine learning surrogates) with physical testing to create predictive tools that packaging engineers can use to optimize unit load designs without expensive trial-and-error prototyping.

Selected Publications

  • Predicting the Effect of Pallet Overhang on Box Compression Strength (PTS, 2023)
  • Development of a Gaussian Process Model for Load Bridging (Applied Sciences, 2021)
  • Friction-Driven FEM for Unit Load Simulation (Applied Sciences, 2021)
  • Investigation of Pallet Stacking Pattern on Unit Load Bridging (PTS, 2018)
Eduardo Molina, Ph.D.
Authors
Assistant Professor & Associate Director
Packaging science researcher at Virginia Tech focused on cold chain packaging, transport packaging optimization, corrugated fiberboard performance, and sustainable packaging systems.