Print Email Facebook Twitter Optimal Design of new Hospitals Title Optimal Design of new Hospitals: A Computational Workflow for Stacking, Zoning, and Routing Author Çubukçuoglu, C. (TU Delft Design Informatics; Yasar University) Nourian, Pirouz (TU Delft Design Informatics) Sariyildiz, I.S. (TU Delft Design Informatics) Tasgetiren, M. Fatih (Auburn University) Date 2022 Abstract The paper proposes a generative design workflow for three major hospital layout planning steps to satisfy multiplex configurational requirements. The initial step is stacking through clustering functional spaces into floor plans, for which a spectral method is presented. Subsequently, a novel simultaneous process of zoning and routing is proposed as a Mixed-Integer Programming problem-solving task; performed on a quadrilateral mesh whose faces and edges are allocated respectively to the rooms and the corridors. The paper situates the workflow in the context of an Activity-Relations-Chart for a general hospital while demonstrating, explaining, and justifying the generated optimal floor plans. The conversion of the hospital layout problem to a Mixed-Integer Programming problem enables the use of existing Operations Research solvers, allowing for the generation of optimal solutions in a digital design environment. The comprehensive problem formulation for a real-world scenario opens a new avenue for utilization of mathematical programming/optimization in healthcare design. Subject Computational designHospital design optimizationLayout planningCorridor generationMixed integer programming To reference this document use: http://resolver.tudelft.nl/uuid:393e31ad-43f4-4863-ace6-63d7f3d7c97d DOI https://doi.org/10.1016/j.autcon.2021.104102 ISSN 0926-5805 Source Automation in Construction, 134 Part of collection Institutional Repository Document type journal article Rights © 2022 C. Çubukçuoglu, Pirouz Nourian, I.S. Sariyildiz, M. Fatih Tasgetiren Files PDF 1_s2.0_S0926580521005537_main_1.pdf 10.16 MB Close viewer /islandora/object/uuid:393e31ad-43f4-4863-ace6-63d7f3d7c97d/datastream/OBJ/view