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dc.contributor.authorRealyvásquez, Arturo
dc.date.accessioned2019-01-11T18:26:37Z
dc.date.available2019-01-11T18:26:37Z
dc.date.issued2018-01-24
dc.identifier.urihttp://cathi.uacj.mx/20.500.11961/5678
dc.description.abstractMacroergonomic compatibility (MC) refers to the extent to which macroergonomic factors and elements (MFEs) interact positively with humans. It is one of the most complex constructs to measure in work systems and in ergonomics. The goal of this paper is to determine the levels of MC in a manufacturing system. As methods, we use the macroergonomic compatibility index (MCI) and the MacroergonomicCompatibilityQuestionnaire(MCQ).TheMCQwas administered in its three versions (i.e., worker version, expert version, and medical department version) to collect data about the macroergonomic practices implemented in the manufacturing company. Regarding results, all the macroergonomic factors and most of the macroergonomic elements showed a low level of MC; that is, MCI < 0.7. Only macroergonomic elements Education, Knowledge, and Skills reached a medium level; namely, MCI = 0.709.The factor with the highest level of MC was the Person factor (MCI = 0.328). Similarly, the whole manufacturing system showed a low level of MC. In conclusion, the studied manufacturing company requires urgent macroergonomic interventions. Also, we found that the MCI can effectively measure the level of MC of MFEs and can guide the implementation of macroergonomic practices (MPs) and explain the MC construct.es_MX
dc.language.isoen_USes_MX
dc.relation.ispartofProducto de investigación IITes_MX
dc.relation.ispartofInstituto de Ingeniería y Tecnologíaes_MX
dc.rightsCC0 1.0 Universal*
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.titleMeasuring the complex construct of macroergonomic compatibility: A manufacturing system case studyes_MX
dc.typeArtículoes_MX
dcterms.thumbnailhttp://ri.uacj.mx/vufind/thumbnails/rupiiit.pnges_MX
dcrupi.institutoInstituto de Ingeniería y Tecnologíaes_MX
dcrupi.cosechableSies_MX
dcrupi.volumen2018es_MX
dcrupi.nopagina1-10es_MX
dc.identifier.doihttps://doi.org/10.1155/2018/7374307es_MX
dc.contributor.coauthorMaldonado-Macías, Aide
dc.journal.titleComplexityes_MX
dc.lgacAnálisis y Diseño de Condiciones y Sitios de Trabajoes_MX
dc.cuerpoacademicoDiseño, Evaluación y Optimización de Procesos y Productos (DEOPP)es_MX


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