Study of the Stability of Palletized Cargo by Dynamic Test Method Performed on Laboratory Test Bench

Abstract

The paper presents a method and results of experimental testing of the stability of palletized cargo wrapped in stretch film in laboratory conditions and methods and parameterization of its application for proper cargo securing. Reduction of stretch film consumption is also significant for sustainable transport. It will contribute to the minimization of costs on a micro-scale (manufacturers and shippers) and a macro scale—a significant reduction in pollution of the environment and gas emissions by reducing stretch film production. The experiments have been performed following the requirements of EUMOS 40509 and 40511 standards. The proposed method of testing the stability of palletized cargo is based on tests performed on a laboratory test bench using FEF-200 sensors. The results of conducted experiments demonstrated that the selection of a proper stretch film and a cargo wrapping model could significantly reduce the risk of cargo damage through increasing cargo stabilizing forces and, at the same time, reducing stretch film consumption. The developed method can significantly reduce the cost of securing and concurrently assure required cargo security. This directly impacts the safety of all participants in the transport process in supply chains.

Application of Machine Learning Methods for Pallet Loading Problem

“…Nonetheless, loading boxes onto a container in such a manner that the 3D volume is utilized to the maximum is also a computationally demanding problem since it requires addressing various constraints, such as the orientations in which a box can be loaded as well as stability constraints [8]. Finally, cargo security during the transportation process needs to be thoroughly accounted for, and it can be enhanced through the selection of a proper stretch film and an appropriate cargo wrapping model [9].…”