Abstract

VARELA-LEDESMA, Nélida; ARANGO-PEREZ, Rafael  and  ROJAS-VARELA, Lisabeth. Informatic solution to optimize the salary process during pandemic in a sugar agro-industrial company. Ing. Ind. [online]. 2022, vol.43, suppl.1, pp. 77-89.  Epub Dec 18, 2022. ISSN 1815-5936.

It is proposed to optimize the service process for payment of salaries to workers, as an alternative to face the Coronavirus Infectious Disease 2019 (COVID-19) in the sugar agro-industrial enterprise Argentina. To emulate the behavior of the variables, based on a randomized experiment and with the application of exponential probability distribution, the spreadsheet was used for repetitive sampling using queue theory. A software was developed that bases its algorithm in the Mathematical Simulation Model referred. It is concluded that the implemented tool contributes to the decrease of client waiting time in queue, at the same time, improves decision making, which influences the reduction of exposure to contagion by the COVID-19.

Keywords : Covid-19; queue theory; simulation; software.

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