Optimal Design of new Hospitals: A Computational Workflow for Stacking, Zoning, and Routing

Cemre Cubukcuoglu*, Pirouz Nourian, I. Sevil Sariyildiz, M. Fatih Tasgetiren

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

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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.
Original languageEnglish
Article number104102
Number of pages28
JournalAutomation in Construction
Volume134
DOIs
Publication statusPublished - 2022

Keywords

  • Computational design
  • Hospital design optimization
  • Layout planning
  • Corridor generation
  • Mixed integer programming

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