TY - JOUR
T1 - Optimal Design of new Hospitals
T2 - A Computational Workflow for Stacking, Zoning, and Routing
AU - Cubukcuoglu, Cemre
AU - Nourian, Pirouz
AU - Sariyildiz, I. Sevil
AU - Tasgetiren, M. Fatih
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Computational design
KW - Hospital design optimization
KW - Layout planning
KW - Corridor generation
KW - Mixed integer programming
UR - http://www.scopus.com/inward/record.url?scp=85124252399&partnerID=8YFLogxK
U2 - 10.1016/j.autcon.2021.104102
DO - 10.1016/j.autcon.2021.104102
M3 - Article
SN - 0926-5805
VL - 134
JO - Automation in Construction
JF - Automation in Construction
M1 - 104102
ER -