Allocating participants: a mathematical model for selection process

Detalhes bibliográficos
Autor(a) principal: Lim-Apo, Flávio Araújo
Data de Publicação: 2020
Outros Autores: Reis, Silvia Araújo dos, Celestino, Victor Rafael Rezende, Carvalho, José Márcio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Independent Journal of Management & Production
Texto Completo: http://www.ijmp.jor.br/index.php/ijmp/article/view/1206
Resumo: Selections, exams, and tests for knowledge assessment frequently require the participant be present on a facility to take a presential test. In 2017, 6.7 Million participants took the biggest Brazilian exam:  Exame Nacional do Ensino Médio (ENEM). Logistics is a fundamental key to the execution of these events, responsible to select the locations, allocate each participant in one of a list of possible preselect facilities, and hire temporary staff to apply the tests. Deciding the locations that will be used is a crucial step that determines the two major logistical costs (staff and rent), and a bad decision will directly impact the global costs of the event. Hence, the goal of this work is to elaborate mathematical models using Lingo 17.0 to assist the decision makers to decide which locations to use, including the designation where the participant will take the test, first to minimalize the costs and then maximize the participant service level. The resulting models include multiple complex and specific constraints solved extremely fast and focused on not only providing the best solution, but also automating a manual and time-consuming process. In addition, a trade-off curve between cost and participant service level assists the decision maker to select the best option for different scenarios.
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spelling Allocating participants: a mathematical model for selection processOperational ResearchMathematical ModelingDesignation problemtrade-offSelections, exams, and tests for knowledge assessment frequently require the participant be present on a facility to take a presential test. In 2017, 6.7 Million participants took the biggest Brazilian exam:  Exame Nacional do Ensino Médio (ENEM). Logistics is a fundamental key to the execution of these events, responsible to select the locations, allocate each participant in one of a list of possible preselect facilities, and hire temporary staff to apply the tests. Deciding the locations that will be used is a crucial step that determines the two major logistical costs (staff and rent), and a bad decision will directly impact the global costs of the event. Hence, the goal of this work is to elaborate mathematical models using Lingo 17.0 to assist the decision makers to decide which locations to use, including the designation where the participant will take the test, first to minimalize the costs and then maximize the participant service level. The resulting models include multiple complex and specific constraints solved extremely fast and focused on not only providing the best solution, but also automating a manual and time-consuming process. In addition, a trade-off curve between cost and participant service level assists the decision maker to select the best option for different scenarios.Independent2020-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttp://www.ijmp.jor.br/index.php/ijmp/article/view/120610.14807/ijmp.v11i7.1206Independent Journal of Management & Production; Vol. 11 No. 7 (2020): Independent Journal of Management & Production; 2648-26612236-269X2236-269Xreponame:Independent Journal of Management & Productioninstname:Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)instacron:IJM&Penghttp://www.ijmp.jor.br/index.php/ijmp/article/view/1206/1496http://www.ijmp.jor.br/index.php/ijmp/article/view/1206/1497Copyright (c) 2020 Flávio Araújo Lim-Apo, Silvia Araújo dos Reis, Victor Rafael Rezende Celestino, José Márcio Carvalhohttp://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccessLim-Apo, Flávio AraújoReis, Silvia Araújo dosCelestino, Victor Rafael RezendeCarvalho, José Márcio2020-12-01T04:01:33Zoai:www.ijmp.jor.br:article/1206Revistahttp://www.ijmp.jor.br/PUBhttp://www.ijmp.jor.br/index.php/ijmp/oaiijmp@ijmp.jor.br||paulo@paulorodrigues.pro.br||2236-269X2236-269Xopendoar:2020-12-01T04:01:33Independent Journal of Management & Production - Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)false
dc.title.none.fl_str_mv Allocating participants: a mathematical model for selection process
title Allocating participants: a mathematical model for selection process
spellingShingle Allocating participants: a mathematical model for selection process
Lim-Apo, Flávio Araújo
Operational Research
Mathematical Modeling
Designation problem
trade-off
title_short Allocating participants: a mathematical model for selection process
title_full Allocating participants: a mathematical model for selection process
title_fullStr Allocating participants: a mathematical model for selection process
title_full_unstemmed Allocating participants: a mathematical model for selection process
title_sort Allocating participants: a mathematical model for selection process
author Lim-Apo, Flávio Araújo
author_facet Lim-Apo, Flávio Araújo
Reis, Silvia Araújo dos
Celestino, Victor Rafael Rezende
Carvalho, José Márcio
author_role author
author2 Reis, Silvia Araújo dos
Celestino, Victor Rafael Rezende
Carvalho, José Márcio
author2_role author
author
author
dc.contributor.author.fl_str_mv Lim-Apo, Flávio Araújo
Reis, Silvia Araújo dos
Celestino, Victor Rafael Rezende
Carvalho, José Márcio
dc.subject.por.fl_str_mv Operational Research
Mathematical Modeling
Designation problem
trade-off
topic Operational Research
Mathematical Modeling
Designation problem
trade-off
description Selections, exams, and tests for knowledge assessment frequently require the participant be present on a facility to take a presential test. In 2017, 6.7 Million participants took the biggest Brazilian exam:  Exame Nacional do Ensino Médio (ENEM). Logistics is a fundamental key to the execution of these events, responsible to select the locations, allocate each participant in one of a list of possible preselect facilities, and hire temporary staff to apply the tests. Deciding the locations that will be used is a crucial step that determines the two major logistical costs (staff and rent), and a bad decision will directly impact the global costs of the event. Hence, the goal of this work is to elaborate mathematical models using Lingo 17.0 to assist the decision makers to decide which locations to use, including the designation where the participant will take the test, first to minimalize the costs and then maximize the participant service level. The resulting models include multiple complex and specific constraints solved extremely fast and focused on not only providing the best solution, but also automating a manual and time-consuming process. In addition, a trade-off curve between cost and participant service level assists the decision maker to select the best option for different scenarios.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
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dc.identifier.uri.fl_str_mv http://www.ijmp.jor.br/index.php/ijmp/article/view/1206
10.14807/ijmp.v11i7.1206
url http://www.ijmp.jor.br/index.php/ijmp/article/view/1206
identifier_str_mv 10.14807/ijmp.v11i7.1206
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.ijmp.jor.br/index.php/ijmp/article/view/1206/1496
http://www.ijmp.jor.br/index.php/ijmp/article/view/1206/1497
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
text/html
dc.publisher.none.fl_str_mv Independent
publisher.none.fl_str_mv Independent
dc.source.none.fl_str_mv Independent Journal of Management & Production; Vol. 11 No. 7 (2020): Independent Journal of Management & Production; 2648-2661
2236-269X
2236-269X
reponame:Independent Journal of Management & Production
instname:Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)
instacron:IJM&P
instname_str Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)
instacron_str IJM&P
institution IJM&P
reponame_str Independent Journal of Management & Production
collection Independent Journal of Management & Production
repository.name.fl_str_mv Independent Journal of Management & Production - Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)
repository.mail.fl_str_mv ijmp@ijmp.jor.br||paulo@paulorodrigues.pro.br||
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