Physical question, virtual answer: Optimized real-time physical simulations and physics-informed learning approaches for cargo loading stability
Cargo stability is a crucial requirement for safe cargo loading and transport. Current state-of-the-art approaches simplify cargo loading to an idealized static problem and employ geometric- and force-based approaches. In this research, we model cargo loading stability as a dynamic problem and propo...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-06-01
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| Series: | Operations Research Perspectives |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214716025000053 |
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| author | Philipp Gabriel Mazur Johannes Werner Melsbach Detlef Schoder |
| author_facet | Philipp Gabriel Mazur Johannes Werner Melsbach Detlef Schoder |
| author_sort | Philipp Gabriel Mazur |
| collection | DOAJ |
| description | Cargo stability is a crucial requirement for safe cargo loading and transport. Current state-of-the-art approaches simplify cargo loading to an idealized static problem and employ geometric- and force-based approaches. In this research, we model cargo loading stability as a dynamic problem and propose two approaches. We use (a) a physical simulation using a real-time physics engine fitted for cargo loading and (b) a physics-informed learning model trained on cargo loading data. Both approaches are capable of handling dynamic physical behavior, either explicitly through simulation, or implicitly through training a recurrent neural network on physically-biased sequential cargo loading data. Given our two objectives of maximal accuracy and minimal runtime, our benchmarking results show that our approaches can outperform current state-of-the-art static stability methods in terms of accuracy depending on the complexity scenario, but consume more runtime. |
| format | Article |
| id | doaj-art-097dd1eae1fc4def9c1eefc3e2795863 |
| institution | OA Journals |
| issn | 2214-7160 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Operations Research Perspectives |
| spelling | doaj-art-097dd1eae1fc4def9c1eefc3e27958632025-08-20T02:10:32ZengElsevierOperations Research Perspectives2214-71602025-06-011410032910.1016/j.orp.2025.100329Physical question, virtual answer: Optimized real-time physical simulations and physics-informed learning approaches for cargo loading stabilityPhilipp Gabriel Mazur0Johannes Werner Melsbach1Detlef Schoder2Corresponding author.; Cologne Institute for Information Systems, Pohligstr. 1, Cologne, 50969, GermanyCologne Institute for Information Systems, Pohligstr. 1, Cologne, 50969, GermanyCologne Institute for Information Systems, Pohligstr. 1, Cologne, 50969, GermanyCargo stability is a crucial requirement for safe cargo loading and transport. Current state-of-the-art approaches simplify cargo loading to an idealized static problem and employ geometric- and force-based approaches. In this research, we model cargo loading stability as a dynamic problem and propose two approaches. We use (a) a physical simulation using a real-time physics engine fitted for cargo loading and (b) a physics-informed learning model trained on cargo loading data. Both approaches are capable of handling dynamic physical behavior, either explicitly through simulation, or implicitly through training a recurrent neural network on physically-biased sequential cargo loading data. Given our two objectives of maximal accuracy and minimal runtime, our benchmarking results show that our approaches can outperform current state-of-the-art static stability methods in terms of accuracy depending on the complexity scenario, but consume more runtime.http://www.sciencedirect.com/science/article/pii/S2214716025000053Static stabilityLoading stabilityPhysical simulationPhysics-informed learningPallet loading problem |
| spellingShingle | Philipp Gabriel Mazur Johannes Werner Melsbach Detlef Schoder Physical question, virtual answer: Optimized real-time physical simulations and physics-informed learning approaches for cargo loading stability Operations Research Perspectives Static stability Loading stability Physical simulation Physics-informed learning Pallet loading problem |
| title | Physical question, virtual answer: Optimized real-time physical simulations and physics-informed learning approaches for cargo loading stability |
| title_full | Physical question, virtual answer: Optimized real-time physical simulations and physics-informed learning approaches for cargo loading stability |
| title_fullStr | Physical question, virtual answer: Optimized real-time physical simulations and physics-informed learning approaches for cargo loading stability |
| title_full_unstemmed | Physical question, virtual answer: Optimized real-time physical simulations and physics-informed learning approaches for cargo loading stability |
| title_short | Physical question, virtual answer: Optimized real-time physical simulations and physics-informed learning approaches for cargo loading stability |
| title_sort | physical question virtual answer optimized real time physical simulations and physics informed learning approaches for cargo loading stability |
| topic | Static stability Loading stability Physical simulation Physics-informed learning Pallet loading problem |
| url | http://www.sciencedirect.com/science/article/pii/S2214716025000053 |
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