Effects of employees’ physical and psychological characteristics over manufacturing systems’ performance

One of the main challenges in Macroergonomics is to develop a universal model to measure macroergonomic compatibility. As a first step to develop such model, it is necessary to validate the construct of macroergonomic compatibility (MC). MC refers to the ability of the different work system componen...

Full description

Autores:
Realyvásquez, Arturo
Maldonado-Macías, Aide Aracely
Garcia-Alcaraz, Jorge Luis
Tipo de recurso:
Article of journal
Fecha de publicación:
2018
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/67529
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/67529
http://bdigital.unal.edu.co/68558/
Palabra clave:
62 Ingeniería y operaciones afines / Engineering
Macroergonomía
características de los empleados
Cuestionario de Compatibilidad Macroergonómica (CCM)
Modelo de Ecuaciones Estructurales
sistemas de manufactura.
Macroergonomics
employees’ characteristics
Macroergonomic Compatibility Questionnaire
Structural Equations Modeling
manufacturing systems.
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
id UNACIONAL2_70ec0f3e8ddf105b6b24100fcbd1d457
oai_identifier_str oai:repositorio.unal.edu.co:unal/67529
network_acronym_str UNACIONAL2
network_name_str Universidad Nacional de Colombia
repository_id_str
dc.title.spa.fl_str_mv Effects of employees’ physical and psychological characteristics over manufacturing systems’ performance
title Effects of employees’ physical and psychological characteristics over manufacturing systems’ performance
spellingShingle Effects of employees’ physical and psychological characteristics over manufacturing systems’ performance
62 Ingeniería y operaciones afines / Engineering
Macroergonomía
características de los empleados
Cuestionario de Compatibilidad Macroergonómica (CCM)
Modelo de Ecuaciones Estructurales
sistemas de manufactura.
Macroergonomics
employees’ characteristics
Macroergonomic Compatibility Questionnaire
Structural Equations Modeling
manufacturing systems.
title_short Effects of employees’ physical and psychological characteristics over manufacturing systems’ performance
title_full Effects of employees’ physical and psychological characteristics over manufacturing systems’ performance
title_fullStr Effects of employees’ physical and psychological characteristics over manufacturing systems’ performance
title_full_unstemmed Effects of employees’ physical and psychological characteristics over manufacturing systems’ performance
title_sort Effects of employees’ physical and psychological characteristics over manufacturing systems’ performance
dc.creator.fl_str_mv Realyvásquez, Arturo
Maldonado-Macías, Aide Aracely
Garcia-Alcaraz, Jorge Luis
dc.contributor.author.spa.fl_str_mv Realyvásquez, Arturo
Maldonado-Macías, Aide Aracely
Garcia-Alcaraz, Jorge Luis
dc.subject.ddc.spa.fl_str_mv 62 Ingeniería y operaciones afines / Engineering
topic 62 Ingeniería y operaciones afines / Engineering
Macroergonomía
características de los empleados
Cuestionario de Compatibilidad Macroergonómica (CCM)
Modelo de Ecuaciones Estructurales
sistemas de manufactura.
Macroergonomics
employees’ characteristics
Macroergonomic Compatibility Questionnaire
Structural Equations Modeling
manufacturing systems.
dc.subject.proposal.spa.fl_str_mv Macroergonomía
características de los empleados
Cuestionario de Compatibilidad Macroergonómica (CCM)
Modelo de Ecuaciones Estructurales
sistemas de manufactura.
Macroergonomics
employees’ characteristics
Macroergonomic Compatibility Questionnaire
Structural Equations Modeling
manufacturing systems.
description One of the main challenges in Macroergonomics is to develop a universal model to measure macroergonomic compatibility. As a first step to develop such model, it is necessary to validate the construct of macroergonomic compatibility (MC). MC refers to the ability of the different work system components and elements to complement the capabilities and limitations of employees in order to achieve companies’ goals. In that regard, to achieve this step, this paper analyzes the effects of MC of physical and psychological characteristics of employees over the performance of manufacturing systems measured by the clients, production processes, and the organizational performance of companies. Data was obtained from 188 employees of manufacturing systems by means of the Macroergonomic Compatibility Questionnaire (MCQ) in Chihuahua, Mexico. Also, data is analyzed to propose and test a hypothetical causal model of the relationships among the variables by using a Structural Equation Modeling (SEM) approach. Employees’ physical characteristics (weight, height, strength) are considered as independent variable. The highest direct effects values (ß) were found from physical characteristics to psychological characteristics (0,49), from clients to organizational performance (0,45), and from psychological characteristics to motivation and needs. Also, the highest total effects were found from physical characteristics to motivation and needs (0,517) and psychological characteristics (0,488) and from clients to organizational performance (0,454). Results of this model offer relevant knowledge to develop macroergonomic strategies for manufacturing systems in order to increase their competitiveness and support the design and improvement of these systems.
publishDate 2018
dc.date.issued.spa.fl_str_mv 2018-05-01
dc.date.accessioned.spa.fl_str_mv 2019-07-03T04:28:13Z
dc.date.available.spa.fl_str_mv 2019-07-03T04:28:13Z
dc.type.spa.fl_str_mv Artículo de revista
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/article
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.coarversion.spa.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.content.spa.fl_str_mv Text
dc.type.redcol.spa.fl_str_mv http://purl.org/redcol/resource_type/ART
format http://purl.org/coar/resource_type/c_6501
status_str publishedVersion
dc.identifier.issn.spa.fl_str_mv ISSN: 2248-8723
dc.identifier.uri.none.fl_str_mv https://repositorio.unal.edu.co/handle/unal/67529
dc.identifier.eprints.spa.fl_str_mv http://bdigital.unal.edu.co/68558/
identifier_str_mv ISSN: 2248-8723
url https://repositorio.unal.edu.co/handle/unal/67529
http://bdigital.unal.edu.co/68558/
dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.spa.fl_str_mv https://revistas.unal.edu.co/index.php/ingeinv/article/view/65202
dc.relation.ispartof.spa.fl_str_mv Universidad Nacional de Colombia Revistas electrónicas UN Ingeniería e Investigación
Ingeniería e Investigación
dc.relation.references.spa.fl_str_mv Realyvásquez, Arturo and Maldonado-Macías, Aide Aracely and Garcia-Alcaraz, Jorge Luis (2018) Effects of employees’ physical and psychological characteristics over manufacturing systems’ performance. Ingeniería e Investigación, 38 (2). pp. 79-89. ISSN 2248-8723
dc.rights.spa.fl_str_mv Derechos reservados - Universidad Nacional de Colombia
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.license.spa.fl_str_mv Atribución-NoComercial 4.0 Internacional
dc.rights.uri.spa.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial 4.0 Internacional
Derechos reservados - Universidad Nacional de Colombia
http://creativecommons.org/licenses/by-nc/4.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad Nacional de Colombia - Sede Bogotá - Facultad de Ingeniería
institution Universidad Nacional de Colombia
bitstream.url.fl_str_mv https://repositorio.unal.edu.co/bitstream/unal/67529/1/65202-393150-1-PB.pdf
https://repositorio.unal.edu.co/bitstream/unal/67529/2/65202-393150-1-PB.pdf.jpg
bitstream.checksum.fl_str_mv f247677dc2e54b9c59fef48534df2f3c
c5a162184da92b2cdd89823d4af8d4c8
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
repository.name.fl_str_mv Repositorio Institucional Universidad Nacional de Colombia
repository.mail.fl_str_mv repositorio_nal@unal.edu.co
_version_ 1806886271162777600
spelling Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Realyvásquez, Arturod067f532-23b7-40e9-aa9d-24d8b2cd9835300Maldonado-Macías, Aide Aracely7c73dd88-7530-4883-9226-f10856b195eb300Garcia-Alcaraz, Jorge Luisddafedee-5beb-46b0-a2c8-32a04bfe6ce83002019-07-03T04:28:13Z2019-07-03T04:28:13Z2018-05-01ISSN: 2248-8723https://repositorio.unal.edu.co/handle/unal/67529http://bdigital.unal.edu.co/68558/One of the main challenges in Macroergonomics is to develop a universal model to measure macroergonomic compatibility. As a first step to develop such model, it is necessary to validate the construct of macroergonomic compatibility (MC). MC refers to the ability of the different work system components and elements to complement the capabilities and limitations of employees in order to achieve companies’ goals. In that regard, to achieve this step, this paper analyzes the effects of MC of physical and psychological characteristics of employees over the performance of manufacturing systems measured by the clients, production processes, and the organizational performance of companies. Data was obtained from 188 employees of manufacturing systems by means of the Macroergonomic Compatibility Questionnaire (MCQ) in Chihuahua, Mexico. Also, data is analyzed to propose and test a hypothetical causal model of the relationships among the variables by using a Structural Equation Modeling (SEM) approach. Employees’ physical characteristics (weight, height, strength) are considered as independent variable. The highest direct effects values (ß) were found from physical characteristics to psychological characteristics (0,49), from clients to organizational performance (0,45), and from psychological characteristics to motivation and needs. Also, the highest total effects were found from physical characteristics to motivation and needs (0,517) and psychological characteristics (0,488) and from clients to organizational performance (0,454). Results of this model offer relevant knowledge to develop macroergonomic strategies for manufacturing systems in order to increase their competitiveness and support the design and improvement of these systems.Uno de los principales desafíos en Macroergonomía es desarrollar un modelo universal para medir la compatibilidad macroergonómica (CM). Como primer paso para desarrollar dicho modelo, es necesario validar el constructo de CM. CM se refiere a la capacidad de los elementos y componentes de un sistema de trabajo de considerar y complementar las capacidades y limitaciones de los empleados para así, alcanzar los objetivos de las compañías. En este sentido, este artículo analiza los efectos de las características físicas y psicológicas de los empleados sobre el desempeño de los sistemas de manufactura medidos mediante los clientes, procesos de producción, y el desempeño organizacional de la empresa. Los datos se obtuvieron de 188 empleados de sistemas de manufactura mediante el Cuestionario de Compatibilidad Macroergonómica (CCM), en el Estado de Chihuahua, México. El análisis de los datos se realiza para proponer y probar un modelo hipotético causal de las relaciones entre las variables a través de un Modelo de Ecuaciones Estructurales (MES). Las características físicas (peso, estatura, fuerza) son consideradas como variables independientes. Los mayores efectos directos fueron de las Características físicas sobre las Características psicológicas (0,49), de los clientes sobre el desempeño organizacional (0,45), y de las características psicológicas sobre la motivación y necesidades de los empleados. Los mayores efectos totales fueron de las características físicas sobre motivación y necesidades (0,517) y sobre características psicológicas (0,488), y de la variable clientes sobre el desempeño organizacional (0,454). Esto genera conocimiento relevante para el desarrollo de estrategias macroergonómicas que permitan incrementar la competitividad de los sistemas de manufactura y apoyar y mejorar el diseño de estos sistemas.application/pdfspaUniversidad Nacional de Colombia - Sede Bogotá - Facultad de Ingenieríahttps://revistas.unal.edu.co/index.php/ingeinv/article/view/65202Universidad Nacional de Colombia Revistas electrónicas UN Ingeniería e InvestigaciónIngeniería e InvestigaciónRealyvásquez, Arturo and Maldonado-Macías, Aide Aracely and Garcia-Alcaraz, Jorge Luis (2018) Effects of employees’ physical and psychological characteristics over manufacturing systems’ performance. Ingeniería e Investigación, 38 (2). pp. 79-89. ISSN 2248-872362 Ingeniería y operaciones afines / EngineeringMacroergonomíacaracterísticas de los empleadosCuestionario de Compatibilidad Macroergonómica (CCM)Modelo de Ecuaciones Estructuralessistemas de manufactura.Macroergonomicsemployees’ characteristicsMacroergonomic Compatibility QuestionnaireStructural Equations Modelingmanufacturing systems.Effects of employees’ physical and psychological characteristics over manufacturing systems’ performanceArtículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/ARTORIGINAL65202-393150-1-PB.pdfapplication/pdf333391https://repositorio.unal.edu.co/bitstream/unal/67529/1/65202-393150-1-PB.pdff247677dc2e54b9c59fef48534df2f3cMD51THUMBNAIL65202-393150-1-PB.pdf.jpg65202-393150-1-PB.pdf.jpgGenerated Thumbnailimage/jpeg8792https://repositorio.unal.edu.co/bitstream/unal/67529/2/65202-393150-1-PB.pdf.jpgc5a162184da92b2cdd89823d4af8d4c8MD52unal/67529oai:repositorio.unal.edu.co:unal/675292024-05-22 23:33:38.79Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co