Computational tool for selection and ranking of pull-type forage harvesters

Detalhes bibliográficos
Autor(a) principal: Silveira, Daniel Duarte da
Data de Publicação: 2021
Outros Autores: Sigales, Marlon Soares, Centurion, Ramón Justiniano Benítez, Reis, Ângelo Vieira dos, Ferreira, Mauro Fernando
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Engenharia na Agricultura
Texto Completo: https://periodicos.ufv.br/reveng/article/view/10573
Resumo: The variety of forage harvester models available on Brazilian market demand practical tools for selecting and ranking these equipments. The present study aimed at the elaboration of an algorithm capable of providing simple and objective criteria that assist in the decision making. The communication channel of the companies was used to obtain technical specifications and price of the equipment, which were tabulated in spreadsheets. The instructions for the manipulation of the obtained data were elaborated in the software R, being calculated ranks for the following requirements considering simulated information about a farm: price (COT), productivity and price relation (PROD.COT), fuel consumption (CONS), operational comfort (CONF), versatility (VERS) and overall (GERAL). We obtained information from 45 models belonging to 8 companies. The best machine in the overall rank got similar rank in the COT, PROD.COT and CONS ranks and worst rank for CONF. The algorithm established allowed the selection and ranking of the forage harvesters analyzed, providing simple, objective and easily interpreted criteria for the use of the farmers and the technicians who assist them.
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spelling Computational tool for selection and ranking of pull-type forage harvestersComputational tool for selection and ranking of pull-type forage harvestersAgricultural machineryAlgorithmForage harvestComparisonRankingSelectionAgricultural machinery Algorithm Forage harvest Comparison Ranking SelectionThe variety of forage harvester models available on Brazilian market demand practical tools for selecting and ranking these equipments. The present study aimed at the elaboration of an algorithm capable of providing simple and objective criteria that assist in the decision making. The communication channel of the companies was used to obtain technical specifications and price of the equipment, which were tabulated in spreadsheets. The instructions for the manipulation of the obtained data were elaborated in the software R, being calculated ranks for the following requirements considering simulated information about a farm: price (COT), productivity and price relation (PROD.COT), fuel consumption (CONS), operational comfort (CONF), versatility (VERS) and overall (GERAL). We obtained information from 45 models belonging to 8 companies. The best machine in the overall rank got similar rank in the COT, PROD.COT and CONS ranks and worst rank for CONF. The algorithm established allowed the selection and ranking of the forage harvesters analyzed, providing simple, objective and easily interpreted criteria for the use of the farmers and the technicians who assist them.The variety of forage harvester models available in the Brazilian market demands practical tools for selecting and ranking this equipment. The present study aimed to develop an algorithm capable of providing simple and objective criteria that assist in decision-making for purchase. The communication channel of the companies was used to obtain technical specifications and the price of the equipment, which were tabulated in spreadsheets. The instructions for the manipulation of the obtained data were elaborated in the software R, with calculated ranks for the following requirements based on simulated information about a farm: price (PR), productivity and price relation (PROD.PR), fuel consumption (FC), operational comfort (OC), versatility (VERS), and overall (ALL). We obtained information from 45 models belonging to eight companies. The best machine in the overall rank (Cremasco Custom 950 C-III) was similar in the PR, PROD.PR, and FC ranks and the worst rank for OC. The algorithm established allowed the selection and ranking of the analyzed forage harvesters, providing simple, objective, and easily interpreted criteria for farmers’ use and the technicians who assist them.Universidade Federal de Viçosa - UFV2021-08-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufv.br/reveng/article/view/1057310.13083/reveng.v29i1.10573Engineering in Agriculture; Vol. 29 No. Contínua (2021); 129-137Revista Engenharia na Agricultura - REVENG; v. 29 n. Contínua (2021); 129-1372175-68131414-3984reponame:Engenharia na Agriculturainstname:Universidade Federal de Viçosa (UFV)instacron:UFVenghttps://periodicos.ufv.br/reveng/article/view/10573/6796Copyright (c) 2021 Revista Engenharia na Agricultura - Revenghttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessSilveira, Daniel Duarte da Sigales, Marlon Soares Centurion, Ramón Justiniano Benítez Reis, Ângelo Vieira dosFerreira, Mauro Fernando2023-01-23T14:06:01Zoai:ojs.periodicos.ufv.br:article/10573Revistahttps://periodicos.ufv.br/revengPUBhttps://periodicos.ufv.br/reveng/oairevistaengenharianagricultura@gmail.com||andrerosa@ufv.br||tramitacao.reveng@gmail.com|| reveng@ufv.br2175-68131414-3984opendoar:2023-01-23T14:06:01Engenharia na Agricultura - Universidade Federal de Viçosa (UFV)false
dc.title.none.fl_str_mv Computational tool for selection and ranking of pull-type forage harvesters
Computational tool for selection and ranking of pull-type forage harvesters
title Computational tool for selection and ranking of pull-type forage harvesters
spellingShingle Computational tool for selection and ranking of pull-type forage harvesters
Silveira, Daniel Duarte da
Agricultural machinery
Algorithm
Forage harvest
Comparison
Ranking
Selection
Agricultural machinery
Algorithm
Forage harvest
Comparison
Ranking
Selection
title_short Computational tool for selection and ranking of pull-type forage harvesters
title_full Computational tool for selection and ranking of pull-type forage harvesters
title_fullStr Computational tool for selection and ranking of pull-type forage harvesters
title_full_unstemmed Computational tool for selection and ranking of pull-type forage harvesters
title_sort Computational tool for selection and ranking of pull-type forage harvesters
author Silveira, Daniel Duarte da
author_facet Silveira, Daniel Duarte da
Sigales, Marlon Soares
Centurion, Ramón Justiniano Benítez
Reis, Ângelo Vieira dos
Ferreira, Mauro Fernando
author_role author
author2 Sigales, Marlon Soares
Centurion, Ramón Justiniano Benítez
Reis, Ângelo Vieira dos
Ferreira, Mauro Fernando
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Silveira, Daniel Duarte da
Sigales, Marlon Soares
Centurion, Ramón Justiniano Benítez
Reis, Ângelo Vieira dos
Ferreira, Mauro Fernando
dc.subject.por.fl_str_mv Agricultural machinery
Algorithm
Forage harvest
Comparison
Ranking
Selection
Agricultural machinery
Algorithm
Forage harvest
Comparison
Ranking
Selection
topic Agricultural machinery
Algorithm
Forage harvest
Comparison
Ranking
Selection
Agricultural machinery
Algorithm
Forage harvest
Comparison
Ranking
Selection
description The variety of forage harvester models available on Brazilian market demand practical tools for selecting and ranking these equipments. The present study aimed at the elaboration of an algorithm capable of providing simple and objective criteria that assist in the decision making. The communication channel of the companies was used to obtain technical specifications and price of the equipment, which were tabulated in spreadsheets. The instructions for the manipulation of the obtained data were elaborated in the software R, being calculated ranks for the following requirements considering simulated information about a farm: price (COT), productivity and price relation (PROD.COT), fuel consumption (CONS), operational comfort (CONF), versatility (VERS) and overall (GERAL). We obtained information from 45 models belonging to 8 companies. The best machine in the overall rank got similar rank in the COT, PROD.COT and CONS ranks and worst rank for CONF. The algorithm established allowed the selection and ranking of the forage harvesters analyzed, providing simple, objective and easily interpreted criteria for the use of the farmers and the technicians who assist them.
publishDate 2021
dc.date.none.fl_str_mv 2021-08-04
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 https://periodicos.ufv.br/reveng/article/view/10573
10.13083/reveng.v29i1.10573
url https://periodicos.ufv.br/reveng/article/view/10573
identifier_str_mv 10.13083/reveng.v29i1.10573
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.ufv.br/reveng/article/view/10573/6796
dc.rights.driver.fl_str_mv Copyright (c) 2021 Revista Engenharia na Agricultura - Reveng
https://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Revista Engenharia na Agricultura - Reveng
https://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Viçosa - UFV
publisher.none.fl_str_mv Universidade Federal de Viçosa - UFV
dc.source.none.fl_str_mv Engineering in Agriculture; Vol. 29 No. Contínua (2021); 129-137
Revista Engenharia na Agricultura - REVENG; v. 29 n. Contínua (2021); 129-137
2175-6813
1414-3984
reponame:Engenharia na Agricultura
instname:Universidade Federal de Viçosa (UFV)
instacron:UFV
instname_str Universidade Federal de Viçosa (UFV)
instacron_str UFV
institution UFV
reponame_str Engenharia na Agricultura
collection Engenharia na Agricultura
repository.name.fl_str_mv Engenharia na Agricultura - Universidade Federal de Viçosa (UFV)
repository.mail.fl_str_mv revistaengenharianagricultura@gmail.com||andrerosa@ufv.br||tramitacao.reveng@gmail.com|| reveng@ufv.br
_version_ 1800211147050188800

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