Information
- Publication Type: Conference Paper
- Workgroup(s)/Project(s):
- Date: 2021
- ISBN: 978-3-7983-3212-6
- Publisher: Universitätsverlag der TU Berlin
- Location: Berlin, Deutschland
- Event: 28th EG-ICE International Workshop on Intelligent Computing in Engineering 2021
- DOI: 10.14279/depositonce-12021
- Booktitle: EG-ICE 2021 Workshop on Intelligent Computing in Engineering
- Pages: 12
- Conference date: 30. June 2021 – 2. July 2021
- Pages: 22 – 33
- 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.Additional Files and Images
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- Paper link
- Entry in reposiTUm (TU Wien Publication Database)
- Entry in the publication database of TU-Wien
- DOI: 10.14279/depositonce-12021
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.", isbn = "978-3-7983-3212-6", publisher = "Universit\"{a}tsverlag der TU Berlin", location = "Berlin, Deutschland", event = "28th EG-ICE International Workshop on Intelligent Computing in Engineering 2021", doi = "10.14279/depositonce-12021", booktitle = "EG-ICE 2021 Workshop on Intelligent Computing in Engineering", pages = "12", 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/", }