Process capability index Cpk for monitoring the thermal performance in the distribution of refrigerated products
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Production |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132016000100054 |
Resumo: | Abstract The temperature of refrigerated products along the cold chain must be kept within pre-defined limits to ensure adequate safety levels and high product quality. Because temperature largely influences microbial activities, the continuous monitoring of the time-temperature history over the distribution process usually allows for the adequate control of the product quality along both short- and medium-distance distribution routes. Time-Temperature Indicators (TTI) are composed of temperature measurements taken at various time intervals and are used to feed analytic models that monitor the impacts of temperature on product quality. Process Capability Indices (PCI), however, are calculated using TTI series to evaluate whether the thermal characteristics of the process are within the specified range. In this application, a refrigerated food delivery route is investigated using a simulated annealing algorithm that considers alternative delivery schemes. The objective of this investigation is to minimize the distance traveled while maintaining the vehicle temperature within the prescribed capability level. |
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Process capability index Cpk for monitoring the thermal performance in the distribution of refrigerated productsRefrigerated productsVehicle routingSimulated annealingTTIPCIAbstract The temperature of refrigerated products along the cold chain must be kept within pre-defined limits to ensure adequate safety levels and high product quality. Because temperature largely influences microbial activities, the continuous monitoring of the time-temperature history over the distribution process usually allows for the adequate control of the product quality along both short- and medium-distance distribution routes. Time-Temperature Indicators (TTI) are composed of temperature measurements taken at various time intervals and are used to feed analytic models that monitor the impacts of temperature on product quality. Process Capability Indices (PCI), however, are calculated using TTI series to evaluate whether the thermal characteristics of the process are within the specified range. In this application, a refrigerated food delivery route is investigated using a simulated annealing algorithm that considers alternative delivery schemes. The objective of this investigation is to minimize the distance traveled while maintaining the vehicle temperature within the prescribed capability level.Associação Brasileira de Engenharia de Produção2016-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132016000100054Production v.26 n.1 2016reponame:Productioninstname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPRO10.1590/0103-6513.170514info:eu-repo/semantics/openAccessNovaes,Antonio Galvão NaclérioLima Jr,Orlando FontesCarvalho,Carolina Corrêa deAragão Junior,Dmontier Pinheiroeng2016-04-08T00:00:00Zoai:scielo:S0103-65132016000100054Revistahttps://www.scielo.br/j/prod/https://old.scielo.br/oai/scielo-oai.php||production@editoracubo.com.br1980-54110103-6513opendoar:2016-04-08T00:00Production - Associação Brasileira de Engenharia de Produção (ABEPRO)false |
dc.title.none.fl_str_mv |
Process capability index Cpk for monitoring the thermal performance in the distribution of refrigerated products |
title |
Process capability index Cpk for monitoring the thermal performance in the distribution of refrigerated products |
spellingShingle |
Process capability index Cpk for monitoring the thermal performance in the distribution of refrigerated products Novaes,Antonio Galvão Naclério Refrigerated products Vehicle routing Simulated annealing TTI PCI |
title_short |
Process capability index Cpk for monitoring the thermal performance in the distribution of refrigerated products |
title_full |
Process capability index Cpk for monitoring the thermal performance in the distribution of refrigerated products |
title_fullStr |
Process capability index Cpk for monitoring the thermal performance in the distribution of refrigerated products |
title_full_unstemmed |
Process capability index Cpk for monitoring the thermal performance in the distribution of refrigerated products |
title_sort |
Process capability index Cpk for monitoring the thermal performance in the distribution of refrigerated products |
author |
Novaes,Antonio Galvão Naclério |
author_facet |
Novaes,Antonio Galvão Naclério Lima Jr,Orlando Fontes Carvalho,Carolina Corrêa de Aragão Junior,Dmontier Pinheiro |
author_role |
author |
author2 |
Lima Jr,Orlando Fontes Carvalho,Carolina Corrêa de Aragão Junior,Dmontier Pinheiro |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Novaes,Antonio Galvão Naclério Lima Jr,Orlando Fontes Carvalho,Carolina Corrêa de Aragão Junior,Dmontier Pinheiro |
dc.subject.por.fl_str_mv |
Refrigerated products Vehicle routing Simulated annealing TTI PCI |
topic |
Refrigerated products Vehicle routing Simulated annealing TTI PCI |
description |
Abstract The temperature of refrigerated products along the cold chain must be kept within pre-defined limits to ensure adequate safety levels and high product quality. Because temperature largely influences microbial activities, the continuous monitoring of the time-temperature history over the distribution process usually allows for the adequate control of the product quality along both short- and medium-distance distribution routes. Time-Temperature Indicators (TTI) are composed of temperature measurements taken at various time intervals and are used to feed analytic models that monitor the impacts of temperature on product quality. Process Capability Indices (PCI), however, are calculated using TTI series to evaluate whether the thermal characteristics of the process are within the specified range. In this application, a refrigerated food delivery route is investigated using a simulated annealing algorithm that considers alternative delivery schemes. The objective of this investigation is to minimize the distance traveled while maintaining the vehicle temperature within the prescribed capability level. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-03-01 |
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=S0103-65132016000100054 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132016000100054 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0103-6513.170514 |
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 de Produção |
publisher.none.fl_str_mv |
Associação Brasileira de Engenharia de Produção |
dc.source.none.fl_str_mv |
Production v.26 n.1 2016 reponame:Production instname:Associação Brasileira de Engenharia de Produção (ABEPRO) instacron:ABEPRO |
instname_str |
Associação Brasileira de Engenharia de Produção (ABEPRO) |
instacron_str |
ABEPRO |
institution |
ABEPRO |
reponame_str |
Production |
collection |
Production |
repository.name.fl_str_mv |
Production - Associação Brasileira de Engenharia de Produção (ABEPRO) |
repository.mail.fl_str_mv |
||production@editoracubo.com.br |
_version_ |
1754213153722335232 |