TY - JOUR
T1 - A discrete event simulation procedure for validating programs of requirements
T2 - The case of hospital space planning
AU - Çubukçuoglu, Cemre
AU - Nourian, Pirouz
AU - Sariyildiz, Sevil
AU - Tasgetiren, Mehmet Fatih
PY - 2020
Y1 - 2020
N2 - This paper introduces a Discrete-Event Simulation (DES) tool developed as a parametric CAD program for validating a program of requirements (PoR) for hospital space planning. The DES model simulates the procedures of processing of patients treated by doctors, calculating patient throughput and patient waiting times, based on the number of doctors, patient arrivals, and treatment times. In addition, the tool is capable of defining space requirements by taking hospital design standards into account. Using this tool, what-if scenarios and assumptions on the PoR about space planning can be tested and/or validated. The tool is ultimately meant for reducing patient waiting times and/or increasing patient throughput by checking the match of the layout of a hospital with respect to its procedural operations. This tool is envisaged to grow into a toolkit providing a methodological framework for bringing Operations Research into Architectural Space Planning. The tool is implemented in Python for Grasshopper (GH), a plugin of Rhinoceros CAD software using the SimPy library.
AB - This paper introduces a Discrete-Event Simulation (DES) tool developed as a parametric CAD program for validating a program of requirements (PoR) for hospital space planning. The DES model simulates the procedures of processing of patients treated by doctors, calculating patient throughput and patient waiting times, based on the number of doctors, patient arrivals, and treatment times. In addition, the tool is capable of defining space requirements by taking hospital design standards into account. Using this tool, what-if scenarios and assumptions on the PoR about space planning can be tested and/or validated. The tool is ultimately meant for reducing patient waiting times and/or increasing patient throughput by checking the match of the layout of a hospital with respect to its procedural operations. This tool is envisaged to grow into a toolkit providing a methodological framework for bringing Operations Research into Architectural Space Planning. The tool is implemented in Python for Grasshopper (GH), a plugin of Rhinoceros CAD software using the SimPy library.
KW - Discrete event simulation
KW - Hospital space planning
KW - Program of requirements
UR - http://www.scopus.com/inward/record.url?scp=85086429203&partnerID=8YFLogxK
U2 - 10.1016/j.softx.2020.100539
DO - 10.1016/j.softx.2020.100539
M3 - Article
VL - 12
JO - SoftwareX
JF - SoftwareX
SN - 2352-7110
M1 - 100539
ER -