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Effects of duration of visits on COVID-19 infection using a multi-agent simulation and lean concept

Author

Listed:
  • Woramol C. Watanabe
  • Patchanee Patitad

Abstract

In the COVID-19 pandemic, social distancing become a critical issue. People need to avoid spending time in crowded places. However, some activities cannot be postponed such as an appointment in a hospital. For geriatric care, there are many processes that mean elderly patients need to spend a long time. While they also have a higher risk of serious illness from COVID-19 in a limited space. To decrease time spent, this research aims to improve the case study in Thailand by using value-added analysis and the lean concept with the ECSR technique. Besides, an analysis of the effects of the duration of patient visits on the infection is presented by using a multi-agent simulation. The result presents that the duration of patient visits is decreased by 12.82% from the current operation. The simulation also declares that if the duration is decreased, the number of COVID-19-infected patients is significantly decreased.

Suggested Citation

  • Woramol C. Watanabe & Patchanee Patitad, 2025. "Effects of duration of visits on COVID-19 infection using a multi-agent simulation and lean concept," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 50(4), pages 498-509.
    • Handle: RePEc:ids:ijlsma:v:50:y:2025:i:4:p:498-509
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