dc.creator | Crespo Márquez, Adolfo | es |
dc.creator | SIM Research Group (ETSI. University of Seville) | es |
dc.date.accessioned | 2020-05-01T09:35:09Z | |
dc.date.available | 2020-05-01T09:35:09Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Crespo Márquez, A. y SIM Research Group (ETSI. University of Seville), (2020). Understanding R-based planning decisions and control for COVID-19 recovery. International Review of Economics & Finance. Special Issue COVID 19 | |
dc.identifier.issn | 1059-0560 | es |
dc.identifier.uri | https://hdl.handle.net/11441/96049 | |
dc.description.abstract | A strategy is a high level plan to achieve one or more goals under conditions of
uncertainty, it is about reaching desirable ends with available means. In this paper
practical management tools to tackle the deconfinement strategy design problem are
presented. But strategy is not only about design, it has much to do with implementation
too. A proper control system to follow the course of action, especially in a scenario with
unprecedent uncertainty, is developed. This is considered a must to launch strategy
implementation.
In the paper, it is remarked the importance of R, first as a variable to monitor and
control the pandemic, to ensure its decline; second as a target to score risks associated
to start certain activities over, after confinement. Reducing the potential increase in the
value of R, when any type of activity is re-opening, guides the strategy.
In terms of control, the paper benefits of up-to-date developments within the field of
predictive maintenance (PdM). The emergence of predictive analytics and the
introduction of prognosis interpretation rules can be very valuable now, when you need
to take decisions based on data and predictions. A novel and innovative way to structure
the data model required for such a control system is presented in the paper.
Whatever actions are taken as appropriate will impact the economy in the shortmidterm,
and understanding the extent of that impact by economic sector and time scale
is rather interesting. This paper also provides an answer to this concern.
With this paper, SIM research group ends a trilogy related to Covid 19 pandemic
management analysis. Our aim has been always to put our best skills and our experience
to serve our communities when facing this unprecedent situation. | es |
dc.format | application/pdf | es |
dc.format.extent | 30 p. | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | International Review of Economics & Finance. Special Issue COVID 19 | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Basic reproductive number | es |
dc.subject | Effective reproductive number | es |
dc.subject | Covid-19 control | es |
dc.subject | Jensen-Shannon divergence | es |
dc.subject | GDP recovery analysis | es |
dc.subject | Covid-19 risk analysis | es |
dc.title | Understanding R-based planning decisions and control for COVID-19 recovery | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Organización Industrial y Gestión de Empresas I | es |
dc.contributor.group | Universidad de Sevilla. TEP134: Organizacion Industrial | es |
dc.journaltitle | International Review of Economics & Finance. Special Issue COVID 19 | es |