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40th International Conference Mathematical Methods in Economics 2022 ; : 205-211, 2022.
Article in English | Web of Science | ID: covidwho-2309402

ABSTRACT

The 2019-2020 COVID pandemic has affected many organisations and companies. One of the most affected sectors is accommodation and food service activities. The aim of this paper is to assess technical efficiency of Czech companies in this sector. The research sample included thousands of enterprises (Group I according to the Statistical Classification of Economic Activities in the European Community - NACE). These enterprises were evaluated for the years 2019 and 2020 in order to track changes in pre-pandemic and pandemic years. The data was exported from the Albertina CZ Gold Edition database. DEA models are used for analysis and comparison. Efficiency scores were calculated based on the CCR (Charnes, Cooper and Rhodes) and BCC (Banker, Charnes, Cooper) models with 6 and 4 inputs and 3 and 2 outputs. The results show that there were already many inefficient companies in the given sector in 2019 and this was also observed for 2020, however, there was a significant reduction in the number of subjects in the database, which may also be due to the impact of the COVID-19 pandemic.

2.
35th ECMS International Conference on Modelling and Simulation, ECMS 2021 ; 35:102-108, 2021.
Article in English | Scopus | ID: covidwho-1281132

ABSTRACT

The year 2020 was very challenging for everyone due to the COVID-19 pandemic. Many people turn their lives upside down from day to day. Politicians had to impose completely unprecedented measures, and doctors immediately had to adapt to the huge influx of patients and the massive demand for testing. Of course, not all processes could be planned completely efficiently, given that the situation literally changes from minute to minute, but sometimes better planning could improve the real processes. This contribution deals with the application of simulation software SIMUL8 to the analysis of the COVID-19 sample collection process in a drive-in point in a hospital. The main aim is to create a model based on the real data and then to find out the suitable number of other staff (medics) helping a doctor during the process to decrease the number of unattended patients and their waiting times. © ECMS Khalid Al-Begain, Mauro Iacono, Lelio Campanile, Andrzej Bargiela (Editors)

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