Track: Modeling and Simulation

Abstract

In the COVID-19 pandemic, temperature screening before a person enters a workplace can help to evaluate the patient and limit further spread of the virus. There are two types of temperature screening methods typically used in Thailand: (1) standing infrared thermometer and (2) infrared thermometer gun. This research aimed to use the Fuzzy TOPSIS technique to select the suitable temperature screening methods for 8 screening stations at the case study. Five criteria for the selection of the suitable methods were identified by experts, including cost, accuracy, process waiting time, convenience to use the tool, and customer satisfaction. These criteria were then evaluated the important rank by staff working at each screening station. Data related to these criteria were collected and input in the Fuzzy TOPSIS technique process. The results showed that the stations that considered the accuracy, process waiting time, and convenience to use the tool as crucial criteria were suggested to use the standing infrared thermometer. While the remaining stations were suggested to use the infrared thermometer gun. This research can contribute to academic literature as it presents the application of Fuzzy TOPSIS in the consideration of activities related to COVID-19 that is currently limited in existing studies.