Your browser doesn't support javascript.
Safe distancing in the time of COVID-19.
Fischetti, Martina; Fischetti, Matteo; Stoustrup, Jakob.
  • Fischetti M; Vattenfall BA Wind, Havneholmen 29, København 1561, Denmark.
  • Fischetti M; Department of Information Engineering, University of Padua, via Gradenigo 6/A, Padova 35100, Italy.
  • Stoustrup J; Automation & Control, Department of Electronic Systems, Aalborg University, Fredrik Bajers Vej 7C, Aalborg 9220, Denmark.
Eur J Oper Res ; 304(1): 139-149, 2023 Jan 01.
Article in English | MEDLINE | ID: covidwho-2240717
ABSTRACT
The spread of viruses such as SARS-CoV-2 brought new challenges to our society, including a stronger focus on safety across all businesses. Many countries have imposed a minimum social distance among people in order to ensure their safety. This brings new challenges to many customer-related businesses, such as restaurants, offices, theaters, etc., on how to locate their facilities (tables, seats etc.) under distancing constraints. We propose a parallel between this problem and that of locating wind turbines in an offshore area. The discovery of this parallel allows us to apply Mathematical Optimization algorithms originally designed for wind farms, to produce optimized facility layouts that minimize the overall risk of infection among customers. In this way we can investigate the structure of the safest layouts, with some surprising outcomes. A lesson learned is that, in the safest layouts, the facilities are not equally distanced (as it is typically believed) but tend to concentrate on the border of the available area-a policy that significantly reduces the overall risk of contagion.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Eur J Oper Res Year: 2023 Document Type: Article Affiliation country: J.ejor.2021.07.010

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Eur J Oper Res Year: 2023 Document Type: Article Affiliation country: J.ejor.2021.07.010