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...
- 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
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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 |
dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/ARTOTR |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/acceptedVersion |
format |
http://purl.org/coar/resource_type/c_816b |
status_str |
acceptedVersion |
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 |
dc.rights.coar.spa.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
rights_invalid_str_mv |
CC0 1.0 Universal http://creativecommons.org/publicdomain/zero/1.0/ http://purl.org/coar/access_right/c_abf2 |
eu_rights_str_mv |
openAccess |
dc.publisher.spa.fl_str_mv |
Universidad de la Costa |
institution |
Corporación Universidad de la Costa |
bitstream.url.fl_str_mv |
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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.coTk9URTogUExBQ0UgWU9VUiBPV04gTElDRU5TRSBIRVJFClRoaXMgc2FtcGxlIGxpY2Vuc2UgaXMgcHJvdmlkZWQgZm9yIGluZm9ybWF0aW9uYWwgcHVycG9zZXMgb25seS4KCk5PTi1FWENMVVNJVkUgRElTVFJJQlVUSU9OIExJQ0VOU0UKCkJ5IHNpZ25pbmcgYW5kIHN1Ym1pdHRpbmcgdGhpcyBsaWNlbnNlLCB5b3UgKHRoZSBhdXRob3Iocykgb3IgY29weXJpZ2h0Cm93bmVyKSBncmFudHMgdG8gRFNwYWNlIFVuaXZlcnNpdHkgKERTVSkgdGhlIG5vbi1leGNsdXNpdmUgcmlnaHQgdG8gcmVwcm9kdWNlLAp0cmFuc2xhdGUgKGFzIGRlZmluZWQgYmVsb3cpLCBhbmQvb3IgZGlzdHJpYnV0ZSB5b3VyIHN1Ym1pc3Npb24gKGluY2x1ZGluZwp0aGUgYWJzdHJhY3QpIHdvcmxkd2lkZSBpbiBwcmludCBhbmQgZWxlY3Ryb25pYyBmb3JtYXQgYW5kIGluIGFueSBtZWRpdW0sCmluY2x1ZGluZyBidXQgbm90IGxpbWl0ZWQgdG8gYXVkaW8gb3IgdmlkZW8uCgpZb3UgYWdyZWUgdGhhdCBEU1UgbWF5LCB3aXRob3V0IGNoYW5naW5nIHRoZSBjb250ZW50LCB0cmFuc2xhdGUgdGhlCnN1Ym1pc3Npb24gdG8gYW55IG1lZGl1bSBvciBmb3JtYXQgZm9yIHRoZSBwdXJwb3NlIG9mIHByZXNlcnZhdGlvbi4KCllvdSBhbHNvIGFncmVlIHRoYXQgRFNVIG1heSBrZWVwIG1vcmUgdGhhbiBvbmUgY29weSBvZiB0aGlzIHN1Ym1pc3Npb24gZm9yCnB1cnBvc2VzIG9mIHNlY3VyaXR5LCBiYWNrLXVwIGFuZCBwcmVzZXJ2YXRpb24uCgpZb3UgcmVwcmVzZW50IHRoYXQgdGhlIHN1Ym1pc3Npb24gaXMgeW91ciBvcmlnaW5hbCB3b3JrLCBhbmQgdGhhdCB5b3UgaGF2ZQp0aGUgcmlnaHQgdG8gZ3JhbnQgdGhlIHJpZ2h0cyBjb250YWluZWQgaW4gdGhpcyBsaWNlbnNlLiBZb3UgYWxzbyByZXByZXNlbnQKdGhhdCB5b3VyIHN1Ym1pc3Npb24gZG9lcyBub3QsIHRvIHRoZSBiZXN0IG9mIHlvdXIga25vd2xlZGdlLCBpbmZyaW5nZSB1cG9uCmFueW9uZSdzIGNvcHlyaWdodC4KCklmIHRoZSBzdWJtaXNzaW9uIGNvbnRhaW5zIG1hdGVyaWFsIGZvciB3aGljaCB5b3UgZG8gbm90IGhvbGQgY29weXJpZ2h0LAp5b3UgcmVwcmVzZW50IHRoYXQgeW91IGhhdmUgb2J0YWluZWQgdGhlIHVucmVzdHJpY3RlZCBwZXJtaXNzaW9uIG9mIHRoZQpjb3B5cmlnaHQgb3duZXIgdG8gZ3JhbnQgRFNVIHRoZSByaWdodHMgcmVxdWlyZWQgYnkgdGhpcyBsaWNlbnNlLCBhbmQgdGhhdApzdWNoIHRoaXJkLXBhcnR5IG93bmVkIG1hdGVyaWFsIGlzIGNsZWFybHkgaWRlbnRpZmllZCBhbmQgYWNrbm93bGVkZ2VkCndpdGhpbiB0aGUgdGV4dCBvciBjb250ZW50IG9mIHRoZSBzdWJtaXNzaW9uLgoKSUYgVEhFIFNVQk1JU1NJT04gSVMgQkFTRUQgVVBPTiBXT1JLIFRIQVQgSEFTIEJFRU4gU1BPTlNPUkVEIE9SIFNVUFBPUlRFRApCWSBBTiBBR0VOQ1kgT1IgT1JHQU5JWkFUSU9OIE9USEVSIFRIQU4gRFNVLCBZT1UgUkVQUkVTRU5UIFRIQVQgWU9VIEhBVkUKRlVMRklMTEVEIEFOWSBSSUdIVCBPRiBSRVZJRVcgT1IgT1RIRVIgT0JMSUdBVElPTlMgUkVRVUlSRUQgQlkgU1VDSApDT05UUkFDVCBPUiBBR1JFRU1FTlQuCgpEU1Ugd2lsbCBjbGVhcmx5IGlkZW50aWZ5IHlvdXIgbmFtZShzKSBhcyB0aGUgYXV0aG9yKHMpIG9yIG93bmVyKHMpIG9mIHRoZQpzdWJtaXNzaW9uLCBhbmQgd2lsbCBub3QgbWFrZSBhbnkgYWx0ZXJhdGlvbiwgb3RoZXIgdGhhbiBhcyBhbGxvd2VkIGJ5IHRoaXMKbGljZW5zZSwgdG8geW91ciBzdWJtaXNzaW9uLgo= |