Proceedings of the 2022 European Conference on Computing in Construction

     

Framework for integrated multi-objective optimization of production and industrial building design

Julia Reisinger 1, Xi Wang-Sukalia 2, Peter Kán 2, Iva Kovacic 1, Hannes Kaufmann 2, Maximilian Knoll 1, Maria Antonia Zahlbruckner 1
1 Institute of Interdisciplinary Construction Process Management, Department for Integrated Planning and Industrial Building, TU Wien, Austria
2 Institute of Visual Computing and Human-Centered Technology, Department for Interactive Media Systems, TU Wien, Austria


DOI: 10.35490/EC3.2022.223
Abstract: Integrated industrial building design, incorporating building and production planning, is challenging due to sequential processes and isolated use of discipline-specific tools. Integrated optimizations are seldomly performed and sufficient decision support is lacking at early design stage. This paper presents a parametric framework for semi-automated multi-objective optimization and decision support (PMOOD) for flexible and eco-efficient industrial building structures, integrating production layout planning. The evolutionary algorithm finds best performing design solutions in terms of life cycle costs, life cycle assessment, recycling potential and flexibility. We evaluated the framework in an interdisciplinary user study based on a pilot-project from a hygiene production facility.
Keywords: multi-objective optimization, structural performance based design, integrated design, industrial building design, production layout planning, automated design optimization
Paper:
EC32022_223

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