babsim.hospital: Bartz & Bartz Simulation Hospital

Implements a discrete-event simulation model for a hospital resource planning problem. The project is motivated by the challenges faced by health care institutions in the current COVID-19 pandemic. It can be used by health departments to forecast demand for intensive care beds, ventilators, and staff resources. Our modelling approach is inspired by "A novel modelling technique to predict resource requirements in critical care - a case study" (Lawton and McCooe 2019) and combines two powerful technologies: (i) discrete event simulation using the 'simmer' package and (ii) model-based optimization using 'SPOT'. Ucar I, Smeets B, Azcorra A (2019) <doi:10.18637/jss.v090.i02>. Bartz-Beielstein T, Lasarczyk C W G, Preuss M (2005) <doi:10.1109/CEC.2005.1554761>. Lawton T, McCooe M (2019) <doi:10.7861/futurehosp.6-1-17>.

Package details

AuthorThomas Bartz-Beielstein [aut, cre] (<https://orcid.org/0000-0002-5938-5158>), Frederik Rehbach [aut] (<https://orcid.org/0000-0003-0922-8629>), Eva Bartz [aut], Olaf Mersmann [aut] (<https://orcid.org/0000-0002-7720-4939>), Martin Zaefferer [ctb] (<https://orcid.org/0000-0003-2372-2092>)
MaintainerThomas Bartz-Beielstein <tbb@bartzundbartz.de>
LicenseGPL (>= 2)
Version11.7.14
URL https://www.th-koeln.de/babsimhospital
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("babsim.hospital")

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babsim.hospital documentation built on March 19, 2021, 1:06 a.m.