Optimization of factors that influence the “settlement” of the concrete in mixer transport

The research seeks to determine the relationship of the settlement as a parameter of the quality of the concrete, with the volume and pressure of the manometer of the concrete mixer truck, by means of a multiple linear regression model in a concrete manufacturing company. A regression model was gene...

Full description

Autores:
Parody, Alexander
Ávila, Abel
Gaitán-González, Mercedes
Galofre, Marjorie
Wilches Cuadros, María Angélica
Ramírez, Leila
Neira Rodado, Dionicio
Silva, Jesús
Tipo de recurso:
http://purl.org/coar/resource_type/c_816b
Fecha de publicación:
2019
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/5866
Acceso en línea:
https://hdl.handle.net/11323/5866
https://repositorio.cuc.edu.co/
Palabra clave:
Settlement
Concrete
Quality
Customer satisfaction
Regression model
Rights
openAccess
License
CC0 1.0 Universal
id RCUC2_ce29f7566199e60b285b57af61349818
oai_identifier_str oai:repositorio.cuc.edu.co:11323/5866
network_acronym_str RCUC2
network_name_str REDICUC - Repositorio CUC
repository_id_str
dc.title.spa.fl_str_mv Optimization of factors that influence the “settlement” of the concrete in mixer transport
title Optimization of factors that influence the “settlement” of the concrete in mixer transport
spellingShingle Optimization of factors that influence the “settlement” of the concrete in mixer transport
Settlement
Concrete
Quality
Customer satisfaction
Regression model
title_short Optimization of factors that influence the “settlement” of the concrete in mixer transport
title_full Optimization of factors that influence the “settlement” of the concrete in mixer transport
title_fullStr Optimization of factors that influence the “settlement” of the concrete in mixer transport
title_full_unstemmed Optimization of factors that influence the “settlement” of the concrete in mixer transport
title_sort Optimization of factors that influence the “settlement” of the concrete in mixer transport
dc.creator.fl_str_mv Parody, Alexander
Ávila, Abel
Gaitán-González, Mercedes
Galofre, Marjorie
Wilches Cuadros, María Angélica
Ramírez, Leila
Neira Rodado, Dionicio
Silva, Jesús
dc.contributor.author.spa.fl_str_mv Parody, Alexander
Ávila, Abel
Gaitán-González, Mercedes
Galofre, Marjorie
Wilches Cuadros, María Angélica
Ramírez, Leila
Neira Rodado, Dionicio
Silva, Jesús
dc.subject.spa.fl_str_mv Settlement
Concrete
Quality
Customer satisfaction
Regression model
topic Settlement
Concrete
Quality
Customer satisfaction
Regression model
description The research seeks to determine the relationship of the settlement as a parameter of the quality of the concrete, with the volume and pressure of the manometer of the concrete mixer truck, by means of a multiple linear regression model in a concrete manufacturing company. A regression model was generated where the variables volume of the mixer and pressure turned out to be statistically significant (p value < 0.05), the linear correlation coefficient was 72.4% which speaks well of the level of relationship between the independent variables and the dependent variable, in addition the average forecast error was 0.0000003 following the model residuals a normal distribution, p value of the KolmogorovSmirnov test was 0.5913, therefore the model has good behavior at the time to correctly forecast the value of the settlement. The model will allow an approximate estimation of the settlement behavior.
publishDate 2019
dc.date.issued.none.fl_str_mv 2019
dc.date.accessioned.none.fl_str_mv 2020-01-17T19:41:20Z
dc.date.available.none.fl_str_mv 2020-01-17T19:41:20Z
dc.type.spa.fl_str_mv Pre-Publicación
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_816b
dc.type.content.spa.fl_str_mv Text
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/preprint
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dc.identifier.uri.spa.fl_str_mv https://hdl.handle.net/11323/5866
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv https://repositorio.cuc.edu.co/
url https://hdl.handle.net/11323/5866
https://repositorio.cuc.edu.co/
identifier_str_mv Corporación Universidad de la Costa
REDICUC - Repositorio CUC
dc.language.iso.none.fl_str_mv eng
language eng
dc.rights.spa.fl_str_mv CC0 1.0 Universal
dc.rights.uri.spa.fl_str_mv http://creativecommons.org/publicdomain/zero/1.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
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http://creativecommons.org/publicdomain/zero/1.0/
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eu_rights_str_mv openAccess
dc.publisher.spa.fl_str_mv Universidad de la Costa
institution Corporación Universidad de la Costa
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spelling Parody, AlexanderÁvila, AbelGaitán-González, MercedesGalofre, MarjorieWilches Cuadros, María AngélicaRamírez, LeilaNeira Rodado, DionicioSilva, Jesús2020-01-17T19:41:20Z2020-01-17T19:41:20Z2019https://hdl.handle.net/11323/5866Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/The research seeks to determine the relationship of the settlement as a parameter of the quality of the concrete, with the volume and pressure of the manometer of the concrete mixer truck, by means of a multiple linear regression model in a concrete manufacturing company. A regression model was generated where the variables volume of the mixer and pressure turned out to be statistically significant (p value < 0.05), the linear correlation coefficient was 72.4% which speaks well of the level of relationship between the independent variables and the dependent variable, in addition the average forecast error was 0.0000003 following the model residuals a normal distribution, p value of the KolmogorovSmirnov test was 0.5913, therefore the model has good behavior at the time to correctly forecast the value of the settlement. The model will allow an approximate estimation of the settlement behavior.Parody, AlexanderÁvila, AbelGaitán González, Mercedes-will be generated-orcid-0000-0003-1770-9262-600Galofre, Marjorie-will be generated-orcid-0000-0001-7316-723X-600Wilches Cuadros, María Angélica-will be generated-orcid-0000-0003-2888-9684-600Ramírez, LeilaNeira Rodado, Dionicio-will be generated-orcid-0000-0003-0837-7083-600Silva, JesúsengUniversidad de la CostaCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2SettlementConcreteQualityCustomer satisfactionRegression modelOptimization of factors that influence the “settlement” of the concrete in mixer transportPre-Publicaciónhttp://purl.org/coar/resource_type/c_816bTextinfo:eu-repo/semantics/preprinthttp://purl.org/redcol/resource_type/ARTOTRinfo:eu-repo/semantics/acceptedVersionPublicationCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8701https://repositorio.cuc.edu.co/bitstreams/52ad9d3b-3511-43aa-939f-f2721330bbf1/download42fd4ad1e89814f5e4a476b409eb708cMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.cuc.edu.co/bitstreams/c6556517-d82d-4bee-9819-2cf73a0da12b/download8a4605be74aa9ea9d79846c1fba20a33MD53ORIGINALOPTIMIZATION OF FACTORS THAT INFLUENCE THE “SETTLEMENT” OF THE CONCRETE IN MIXER TRANSPORT.pdfOPTIMIZATION OF FACTORS THAT INFLUENCE THE “SETTLEMENT” OF THE CONCRETE IN MIXER TRANSPORT.pdfapplication/pdf87536https://repositorio.cuc.edu.co/bitstreams/5f8c8f27-7947-4234-a5cb-e5245381149a/downloadc4b4512f49091a48b5fb0ad205184b82MD51THUMBNAILOPTIMIZATION OF FACTORS THAT INFLUENCE THE “SETTLEMENT” OF THE CONCRETE IN MIXER TRANSPORT.pdf.jpgOPTIMIZATION OF FACTORS THAT INFLUENCE THE “SETTLEMENT” OF THE CONCRETE IN MIXER TRANSPORT.pdf.jpgimage/jpeg42664https://repositorio.cuc.edu.co/bitstreams/7a7912f7-e53b-4e2e-bb2b-cdfe8e650750/download2bbd73ee0786d6b81a26bd8f8e3d2e51MD55TEXTOPTIMIZATION OF FACTORS THAT INFLUENCE THE “SETTLEMENT” OF THE CONCRETE IN MIXER TRANSPORT.pdf.txtOPTIMIZATION OF FACTORS THAT INFLUENCE THE “SETTLEMENT” OF THE CONCRETE IN MIXER TRANSPORT.pdf.txttext/plain1251https://repositorio.cuc.edu.co/bitstreams/77d5026f-7875-4951-b062-8218c51d85ff/downloade36c89936968b0027b7080cfaaba26bbMD5611323/5866oai:repositorio.cuc.edu.co:11323/58662024-09-17 14:05:35.965http://creativecommons.org/publicdomain/zero/1.0/CC0 1.0 Universalopen.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa CUCrepdigital@cuc.edu.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