Susana Mondschein

Universidad de Chile

Associate Professor

Av. Blanco Encalada 2120

Santiago

Chile

  • Universidad de Chile

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Service Design To Balance Waiting Time and Infection Risk: An Application for Elections During the COVID-19 Pandemic

Number of pages: 49 Posted: 23 Nov 2020 Last Revised: 14 May 2021
Susana Mondschein, Marcelo Olivares, Fernando Ordonez, Daniel Schwartz, Andres Weintraub, Cristian Aguayo, Gianpiero Canessa and Ignacio Torres
Universidad de Chile, University of Chile, University of Southern California - Epstein Department of Industrial & Systems Engineering, University of Chile, University of Chile - Industrial Engineering, Instituto Sistemas Complejos de Ingenieria (ISCI), Royal Institute of Technology (KTH) - Industrial Engineering and Management and University of Chile - Facultad de Ciencias Físicas y Matemáticas
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service design, queueing, discrete event simulation, randomized experiment, process analysis, COVID-19, voting behavior