Julia Reisinger, Maria Antonia Zahlbruckner, Iva Kovacic, Peter Kán, Xi Wang-Sukalia
Framework proposal for automated generation of production layout scenarios: A parametric design technique to connect production planning and structural industrial building design
In EG-ICE 2021 Workshop on Intelligent Computing in Engineering, pages 22-33. 2021.

Information

  • Publication Type: Conference Paper
  • Workgroup(s)/Project(s): not specified
  • Date: 2021
  • Booktitle: EG-ICE 2021 Workshop on Intelligent Computing in Engineering
  • Date (from): 30. June 2021
  • Date (to): 2. July 2021
  • DOI: 10.14279/depositonce-12021
  • Event: 28th EG-ICE International Workshop on Intelligent Computing in Engineering 2021
  • ISBN: 978-3-7983-3212-6
  • Location: Berlin, Deutschland
  • Pages (from): 22
  • Pages (to): 33
  • Publisher: Universitätsverlag der TU Berlin
  • Keywords: Parametric modelling; multi-objective optimisation; production layout planning; automated layout generation; generative design; integrated industrial building design

Abstract

To increase the flexibility and expandability of production plants the focus needs to be on a coherent planning of the production layout and building systems. The frequent reconfiguration of production layouts bears challenges on the load-bearing structure of industrial buildings, decreasing the building service life due to rescheduling or demolition. Currently there is no method established to integrate production layout planning into structural building design processes. In this paper, a novel parametric generative design method for automated production layout generation and optimisation (PLGO) is presented, producing layout scenarios to be respected in structural building design. Results of a state-of-the-art analysis and a case study methodology are combined to develop a novel concept of integrated production cubes (IPC). The IPC concept is translated into a parametric PLGO framework, which is tested on a pilot-project of a food-and hygiene production facility and the defined objectives and constraints are validated.

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BibTeX

@inproceedings{Reisinger_Julia-2021-parametricscript,
  title =      "Framework proposal for automated generation of production
               layout scenarios: A parametric design technique to connect
               production planning and structural industrial building
               design",
  author =     "Julia Reisinger and Maria Antonia Zahlbruckner and Iva
               Kovacic and Peter K\'{a}n and Xi Wang-Sukalia",
  year =       "2021",
  abstract =   "To increase the flexibility and expandability of production
               plants the focus needs to be on a coherent planning of the
               production layout and building systems. The frequent
               reconfiguration of production layouts bears challenges on
               the load-bearing structure of industrial buildings,
               decreasing the building service life due to rescheduling or
               demolition. Currently there is no method established to
               integrate production layout planning into structural
               building design processes. In this paper, a novel parametric
               generative design method for automated production layout
               generation and optimisation (PLGO) is presented, producing
               layout scenarios to be respected in structural building
               design. Results of a state-of-the-art analysis and a case
               study methodology are combined to develop a novel concept of
               integrated production cubes (IPC). The IPC concept is
               translated into a parametric PLGO framework, which is tested
               on a pilot-project of a food-and hygiene production facility
               and the defined objectives and constraints are validated.",
  booktitle =  "EG-ICE 2021 Workshop on Intelligent Computing in Engineering",
  doi =        "10.14279/depositonce-12021",
  event =      "28th EG-ICE International Workshop on Intelligent Computing
               in Engineering 2021",
  isbn =       "978-3-7983-3212-6",
  location =   "Berlin, Deutschland",
  publisher =  "Universit\"{a}tsverlag der TU Berlin",
  pages =      "22--33",
  keywords =   "Parametric modelling; multi-objective optimisation;
               production layout planning; automated layout generation;
               generative design; integrated industrial building design",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2021/Reisinger_Julia-2021-parametricscript/",
}