Simulation Model of the Effect of the COVID-19 Biosecurity Protocol in the Queues for the Return to Face-to-Face Classes

Jairo Rafael Coronado-Hernandez, Samir Francisco Umana Ibanez, Gustavo Gatica, Monica Acuna Rodriguez

Research output: Contribution to journalConference articlepeer-review


This article presents a simulation model of the effect of the COVID-19 Biosafety protocol in the Queues for the return to face-to-face classes as a basis for the return of educational activities. The restrictive measures to face the COVID-19 pandemic, greatly affected the normality of the development of activities carried out in higher education, constituting a great challenge since the measures and conditions of return and access to institutions are different from what was previously carried out before the pandemic. The objective of this article is to carry out a simulation of queues through SIMIO (Logistics process simulation software), where the number of students expected per day and the average entry times are taken into account to adjust them to an exponential distribution, from this information loaded into the simulation it is They will determine if the times increase or decrease taking into account the theory of queues and conditions presented in the study such as the probability distribution of the times of each of the processes involved in the process of accessing the University facilities.

Original languageEnglish
Pages (from-to)904-908
Number of pages5
JournalProcedia Computer Science
Publication statusPublished - 2023
Event14th International Conference on Ambient Systems, Networks and Technologies Networks, ANT 2023 and The 6th International Conference on Emerging Data and Industry 4.0, EDI40 2023 - Leuven, Belgium
Duration: 15 Mar 202317 Mar 2023


  • Biosecurity, Protocol
  • COVID19
  • Queue
  • Simulation

ASJC Scopus subject areas

  • General Computer Science


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