Service design to balance waiting time and infection risk : an application for elections during the COVID-19 pandemic
Susana Mondschein, Marcelo Olivares, Fernando Ordóñez, Daniel Schwartz, Andres Weintraub, Ignacio Torres-Ulloa, Cristian Aguayo, Gianpiero Canessa
| Year of publication: |
2022
|
|---|---|
| Authors: | Mondschein, Susana ; Olivares, Marcelo ; Ordóñez, Fernando ; Schwartz, Daniel ; Weintraub, Andres ; Torres-Ulloa, Ignacio ; Aguayo, Cristian ; Canessa, Gianpiero |
| Published in: |
Service science. - Hanover, Md. : INFORMS, ISSN 2164-3970, ZDB-ID 2658448-7. - Vol. 14.2022, 2, p. 90-109
|
| Subject: | COVID-19 | discrete event simulation | process analysis | queueing | randomized experiment | service design | voting behavior | Coronavirus | Warteschlangentheorie | Queueing theory | Epidemie | Epidemic | Simulation | Wahlverhalten | Voting behaviour |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1287/serv.2021.0290 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013352794