Mazur, Philipp GabrielLee, No-SanSchoder, Detlef2021-12-242021-12-242022-01-04978-0-9981331-5-7http://hdl.handle.net/10125/79536The static stability constraint is one of the most important constraints in pallet loading and plays a substantial role when assembling safe and loadable palletizing layouts. Current approaches reach their limits as soon as additional complexity is added, which is a given in the practice of air cargo logistics, or when performance becomes important. As our central objective, we explore a new approach to calculate static stability more performantly and to cover more complexity by relaxing several simplifying assumptions. The approach is implemented in a prototype and builds on the emerging technology of graphical processing unit acceleration in combination with physics engines. We propose a new artifact design and summarize the how-to knowledge in the form of abstracted design principles. Our results demonstrate an improvement in terms of performance depending on the underlying hardware. We develop a conceptual model to assist future research in choosing a solution technology.10 pagesengAttribution-NonCommercial-NoDerivatives 4.0 InternationalIntelligent Decision Support for Logistics and Supply Chain Managementair cargo transportationgpgpupallet loadingphysics enginesimulationA GPU-Accelerated Approach to Static Stability Assessments for Pallet Loading in Air Cargotext10.24251/HICSS.2022.204