Discrete-event simulation: Difference between revisions

Revision as of 16:01, 19 October 2022

Revision as of 03:59, 14 December 2022

Line 61:

===Hospital applications===

An operating theater is generally shared between several surgical disciplines. Through better understanding the nature of these procedures it may be possible to increase the patient throughput.<ref>{{cite journal |author1=John J. Forbus |author2=Daniel Berleant |title=Discrete-Event Simulation in Healthcare Settings: A Review | doi=10.3390/modelling3040027 |volume=3(4) |journal=Modelling |pages=417-433417–433|year=2022 |issue=4 |doi-access=free }}</ref> Example: If a heart surgery takes on average four hours, changing an operating room schedule from eight available hours to nine will not increase patient throughput. On the other hand, if a hernia procedure takes on average twenty minutes providing an extra hour may also not yield any increased throughput if the capacity and average time spent in the recovery room is not considered.

===Lab test performance improvement ideas===

Line 100:

==Further reading==

*{{cite book|title=Simulating Computer Systems: Techniques and Tools|url=https://archive.org/details/simulatingcomput00myro|url-access=registration|author=Myron H. MacDougall|publisher= MIT Press| year=1987|isbn=9780262132299 }}

*{{cite book|title=Dynamic Models and Discrete Event Simulation|author1=William Delaney |author2=Erminia Vaccari |publisher= Dekker INC| year=1988}}

*{{cite book|title=Computer Simulation: A Practical Perspective|author=Roger W. McHaney|publisher=Academic Press|year=1991}}