Allocating participants: a mathematical model for selection process
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Independent Journal of Management & Production |
DOI: | 10.14807/ijmp.v11i7.1206 |
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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Independent Journal of Management & Production |
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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 Allocating participants: a mathematical model for selection process Lim-Apo, Flávio Araújo Operational Research Mathematical Modeling Designation problem trade-off 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 Allocating participants: a mathematical model for selection process |
title_full_unstemmed |
Allocating participants: a mathematical model for selection process 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 Lim-Apo, Flávio Araújo Reis, Silvia Araújo dos Celestino, Victor Rafael Rezende Carvalho, José Márcio 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 |
status_str |
publishedVersion |
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|| |
_version_ |
1822180410070663168 |
dc.identifier.doi.none.fl_str_mv |
10.14807/ijmp.v11i7.1206 |