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.
Cite
CITATION STYLE
Reisinger, J., Wang-Sukalia, X., Kán, P., Kovacic, I., Kaufmann, H., Knoll, M., & Zahlbruckner, M. A. (2022). FRAMEWORK FOR INTEGRATED MULTI-OBJECTIVE OPTIMIZATION OF PRODUCTION AND INDUSTRIAL BUILDING DESIGN. In Proceedings of the European Conference on Computing in Construction (pp. 145–152). European Council on Computing in Construction (EC3). https://doi.org/10.35490/EC3.2022.223
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