2022
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Rinciog, A.; Pfrommer, J.; Zahid, S.; Morrissey, M.; Meyer, A. (2022): SLAPStack. Zenodo. @article{A.2022,
title = {SLAPStack},
author = {Rinciog, A. and Pfrommer, J. and Zahid, S. and Morrissey, M. and Meyer, A.},
doi = {https://doi.org/10.5281/zenodo.7077936},
year = {2022},
date = {2022-09-14},
journal = {Zenodo},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Pfrommer, J.; Rinciog, A.; Zahid, S.; Morrissey, M; Meyer A. (2022): SLAPStack: A Simulation Framework and a Large-Scale Benchmark Use Case for Autonomous Block Stacking Warehouses. International Conference on Computational Logistics (ICCL) 2022. @article{Pfrommer2022c,
title = {SLAPStack: A Simulation Framework and a Large-Scale Benchmark Use Case for Autonomous Block Stacking Warehouses},
author = { Pfrommer, J. and Rinciog, A. and Zahid, S. and Morrissey, M and Meyer A.},
doi = {https://doi.org/10.1007/978-3-031-16579-5_20 },
year = {2022},
date = {2022-09-14},
journal = {International Conference on Computational Logistics (ICCL) 2022},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Pfrommer, J.; Meyer, A.; Tierney, K. (2022): Solving the unit-load pre-marshalling problem in block stacking storage systems with multiple access directions. arXiv preprint. @article{pfrommer2022solving,
title = {Solving the unit-load pre-marshalling problem in block stacking storage systems with multiple access directions},
author = {Pfrommer, J. and Meyer, A. and Tierney, K.},
editor = {arXiv},
url = {https://arxiv.org/abs/2207.09118},
doi = {https://doi.org/10.48550/arXiv.2207.09118},
year = {2022},
date = {2022-07-18},
journal = {arXiv preprint},
volume = {arXiv:2207.09118},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
2021
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Kallat, F; Pfrommer, J.; Bessai, J.; Rehof, J.; Meyer, A. (2021): Automatic Building of a Repository for Component-based Synthesis of Warehouse Simulation Models. Procedia CIRP, 54th CIRP CMS 2021. @article{Kallat2021,
title = {Automatic Building of a Repository for Component-based Synthesis of Warehouse Simulation Models},
author = {Kallat, F and Pfrommer, J. and Bessai, J. and Rehof, J. and Meyer, A.},
editor = {CIRP CMS},
url = {https://www.sciencedirect.com/science/article/pii/S2212827121011410?via%3Dihub},
doi = {https://doi.org/10.1016/j.procir.2021.11.243},
year = {2021},
date = {2021-11-30},
journal = {Procedia CIRP, 54th CIRP CMS 2021},
volume = {Volume},
number = {104, 2021},
pages = {Pages 1440-1445},
abstract = {Simulations are a common tool in the warehouse planning and adoption process for evaluating and comparing variants of a storage system. But simulation modeling is a complex and time-consuming task. Due to limited resources, often not all possible system variants can be modeled. A promising solution is the migration of an existing simulation model to enable component-based software synthesis. An inhabitation algorithm composes structural variants according to a synthesis goal given a repository of typed components. In this paper, we automatically generate a repository and synthesize simulation model variants using a block stacking warehouse simulation model as an example.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Simulations are a common tool in the warehouse planning and adoption process for evaluating and comparing variants of a storage system. But simulation modeling is a complex and time-consuming task. Due to limited resources, often not all possible system variants can be modeled. A promising solution is the migration of an existing simulation model to enable component-based software synthesis. An inhabitation algorithm composes structural variants according to a synthesis goal given a repository of typed components. In this paper, we automatically generate a repository and synthesize simulation model variants using a block stacking warehouse simulation model as an example. |
2020
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Pfrommer, J.; Meyer, A. (2020): Autonomously Organized Block Stacking Warehouses: A Review of Decision Problems and Major Challenges. Logistics Journal: Proceedings. @article{Pfrommer2020,
title = {Autonomously Organized Block Stacking Warehouses: A Review of Decision Problems and Major Challenges},
author = {Pfrommer, J. and Meyer, A.},
doi = {10.2195/lj_Proc_pfrommer_en_202012_01},
year = {2020},
date = {2020-10-01},
journal = {Logistics Journal: Proceedings},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Pfrommer, J.; Meyer, A. (2020): Autonomously Organized Block Stacking Warehouses - Major Challenges and Solution Approaches. Proceedings of the 2020 Joint Workshop of the German Research Training Groups in Computer Science. @article{Pfrommer2020b,
title = {Autonomously Organized Block Stacking Warehouses - Major Challenges and Solution Approaches},
author = {Pfrommer, J. and Meyer, A.},
editor = {Proceedings of the 2020 Joint Workshop of the German Research Training Groups in Computer Science},
url = {https://hpi.de/veranstaltungen/wissenschaftliche-konferenzen/research-school/2020/joint-meeting-of-the-german-rtgs-in-computer-science-2020.html
},
year = {2020},
date = {2020-06-08},
journal = {Proceedings of the 2020 Joint Workshop of the German Research Training Groups in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|