STATISTICAL PROCESS CONTROL APPLIED TO MONITOR LOSSES IN THE MECHANIZED SUGARCANE HARVESTING

Detalhes bibliográficos
Autor(a) principal: Paixão,Carla S. S.
Data de Publicação: 2020
Outros Autores: Voltarelli,Murilo A., Silva,Rouverson P. da, Borba,Mateus A. de P., Torres,Luma S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Engenharia Agrícola
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162020000400473
Resumo: ABSTRACT The mechanized sugarcane harvesting process is considered one of the major economic bottlenecks, with low operational efficiency and, mainly, high losses of stalks left in the field. In order to minimize these problems and assist in the improvement of processes, this study aimed to evaluate the losses in the mechanized sugarcane harvesting using statistical process control. The experimental design was completely randomized, based on the methodology of statistical process control with samples collected on five work fronts during the daytime and nighttime operation. The experiment was carried out in an agricultural area of a sugarcane mill in the municipality of Ribeirão Preto, SP, Brazil, on five sugarcane harvest fronts. Losses were measured using a 3.0 × 3.33-m frame, being divided into stump, loose piece + fixed piece, whole sugarcane, fragment, and total losses for each harvest front. The data were grouped into 50 weeks over the sugarcane-growing season, and statistical analyses were performed using the Minitab 16® software. Losses of loose piece + fixed piece were higher than the losses of stump, whole sugarcane, and fragment. The total losses showed higher and lower losses for the fronts F5 and F4, respectively, compared to the others.
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spelling STATISTICAL PROCESS CONTROL APPLIED TO MONITOR LOSSES IN THE MECHANIZED SUGARCANE HARVESTINGharvestervisible lossesSaccharum sppABSTRACT The mechanized sugarcane harvesting process is considered one of the major economic bottlenecks, with low operational efficiency and, mainly, high losses of stalks left in the field. In order to minimize these problems and assist in the improvement of processes, this study aimed to evaluate the losses in the mechanized sugarcane harvesting using statistical process control. The experimental design was completely randomized, based on the methodology of statistical process control with samples collected on five work fronts during the daytime and nighttime operation. The experiment was carried out in an agricultural area of a sugarcane mill in the municipality of Ribeirão Preto, SP, Brazil, on five sugarcane harvest fronts. Losses were measured using a 3.0 × 3.33-m frame, being divided into stump, loose piece + fixed piece, whole sugarcane, fragment, and total losses for each harvest front. The data were grouped into 50 weeks over the sugarcane-growing season, and statistical analyses were performed using the Minitab 16® software. Losses of loose piece + fixed piece were higher than the losses of stump, whole sugarcane, and fragment. The total losses showed higher and lower losses for the fronts F5 and F4, respectively, compared to the others.Associação Brasileira de Engenharia Agrícola2020-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162020000400473Engenharia Agrícola v.40 n.4 2020reponame:Engenharia Agrícolainstname:Associação Brasileira de Engenharia Agrícola (SBEA)instacron:SBEA10.1590/1809-4430-eng.agric.v40n4p473-480/2020info:eu-repo/semantics/openAccessPaixão,Carla S. S.Voltarelli,Murilo A.Silva,Rouverson P. daBorba,Mateus A. de P.Torres,Luma S.eng2020-09-04T00:00:00Zoai:scielo:S0100-69162020000400473Revistahttp://www.engenhariaagricola.org.br/ORGhttps://old.scielo.br/oai/scielo-oai.phprevistasbea@sbea.org.br||sbea@sbea.org.br1809-44300100-6916opendoar:2020-09-04T00:00Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)false
dc.title.none.fl_str_mv STATISTICAL PROCESS CONTROL APPLIED TO MONITOR LOSSES IN THE MECHANIZED SUGARCANE HARVESTING
title STATISTICAL PROCESS CONTROL APPLIED TO MONITOR LOSSES IN THE MECHANIZED SUGARCANE HARVESTING
spellingShingle STATISTICAL PROCESS CONTROL APPLIED TO MONITOR LOSSES IN THE MECHANIZED SUGARCANE HARVESTING
Paixão,Carla S. S.
harvester
visible losses
Saccharum spp
title_short STATISTICAL PROCESS CONTROL APPLIED TO MONITOR LOSSES IN THE MECHANIZED SUGARCANE HARVESTING
title_full STATISTICAL PROCESS CONTROL APPLIED TO MONITOR LOSSES IN THE MECHANIZED SUGARCANE HARVESTING
title_fullStr STATISTICAL PROCESS CONTROL APPLIED TO MONITOR LOSSES IN THE MECHANIZED SUGARCANE HARVESTING
title_full_unstemmed STATISTICAL PROCESS CONTROL APPLIED TO MONITOR LOSSES IN THE MECHANIZED SUGARCANE HARVESTING
title_sort STATISTICAL PROCESS CONTROL APPLIED TO MONITOR LOSSES IN THE MECHANIZED SUGARCANE HARVESTING
author Paixão,Carla S. S.
author_facet Paixão,Carla S. S.
Voltarelli,Murilo A.
Silva,Rouverson P. da
Borba,Mateus A. de P.
Torres,Luma S.
author_role author
author2 Voltarelli,Murilo A.
Silva,Rouverson P. da
Borba,Mateus A. de P.
Torres,Luma S.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Paixão,Carla S. S.
Voltarelli,Murilo A.
Silva,Rouverson P. da
Borba,Mateus A. de P.
Torres,Luma S.
dc.subject.por.fl_str_mv harvester
visible losses
Saccharum spp
topic harvester
visible losses
Saccharum spp
description ABSTRACT The mechanized sugarcane harvesting process is considered one of the major economic bottlenecks, with low operational efficiency and, mainly, high losses of stalks left in the field. In order to minimize these problems and assist in the improvement of processes, this study aimed to evaluate the losses in the mechanized sugarcane harvesting using statistical process control. The experimental design was completely randomized, based on the methodology of statistical process control with samples collected on five work fronts during the daytime and nighttime operation. The experiment was carried out in an agricultural area of a sugarcane mill in the municipality of Ribeirão Preto, SP, Brazil, on five sugarcane harvest fronts. Losses were measured using a 3.0 × 3.33-m frame, being divided into stump, loose piece + fixed piece, whole sugarcane, fragment, and total losses for each harvest front. The data were grouped into 50 weeks over the sugarcane-growing season, and statistical analyses were performed using the Minitab 16® software. Losses of loose piece + fixed piece were higher than the losses of stump, whole sugarcane, and fragment. The total losses showed higher and lower losses for the fronts F5 and F4, respectively, compared to the others.
publishDate 2020
dc.date.none.fl_str_mv 2020-08-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162020000400473
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162020000400473
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1809-4430-eng.agric.v40n4p473-480/2020
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Associação Brasileira de Engenharia Agrícola
publisher.none.fl_str_mv Associação Brasileira de Engenharia Agrícola
dc.source.none.fl_str_mv Engenharia Agrícola v.40 n.4 2020
reponame:Engenharia Agrícola
instname:Associação Brasileira de Engenharia Agrícola (SBEA)
instacron:SBEA
instname_str Associação Brasileira de Engenharia Agrícola (SBEA)
instacron_str SBEA
institution SBEA
reponame_str Engenharia Agrícola
collection Engenharia Agrícola
repository.name.fl_str_mv Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)
repository.mail.fl_str_mv revistasbea@sbea.org.br||sbea@sbea.org.br
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