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Predictor model for Six Sigma deployement and its Sustainable benefits
dc.date.accessioned | 2024-01-08T14:59:38Z | |
dc.date.available | 2024-01-08T14:59:38Z | |
dc.date.issued | 2023-11-23 | es_MX |
dc.identifier.isbn | 978-3-031-46708-0 | es_MX |
dc.identifier.uri | http://cathi.uacj.mx/20.500.11961/26736 | |
dc.description.abstract | The purpose of this research is to present the critical success factors (CSF) in Six Sigma (SS) deployment and their relationship to long-term sustainable benefits (SB). The method derives from a literature review between the links SS and SB contrasted, conducted in a cross-sectional study in the aerospace industry applying a survey to experts with experience in the subject. Using a structural equation model, three factors are found: senior management commitment, relationship with clients and suppliers, and training and education. The originality of this study shows that these factors predict 56% of the SB derived from the application of SS projects for environmental improvement. These results can guide organizations that are not committed to sustainability to contemplate the sustainable benefits that can be obtained with the implementation of SS, one of the limitations is that the results only apply to the aerospace sector. | es_MX |
dc.description.uri | https://link.springer.com/chapter/10.1007/978-3-031-46708-0_5 | es_MX |
dc.language.iso | en_US | es_MX |
dc.publisher | Springer | es_MX |
dc.relation.ispartof | Producto de investigación IIT | es_MX |
dc.relation.ispartof | Instituto de Ingeniería y Tecnología | es_MX |
dc.rights | Atribución-NoComercial-SinDerivadas 2.5 México | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/2.5/mx/ | * |
dc.subject | Six sigma | es_MX |
dc.subject | Continuous improvement | es_MX |
dc.subject | Sustainable benefits | es_MX |
dc.subject | Structural model | es_MX |
dc.subject.other | info:eu-repo/classification/cti/5 | es_MX |
dc.title | Predictor model for Six Sigma deployement and its Sustainable benefits | es_MX |
dc.type | Capítulo de libro | es_MX |
dcterms.thumbnail | http://ri.uacj.mx/vufind/thumbnails/rupiiit.png | es_MX |
dcrupi.instituto | Instituto de Ingeniería y Tecnología | es_MX |
dcrupi.cosechable | Si | es_MX |
dcrupi.subtipo | Investigación | es_MX |
dcrupi.nopagina | 111–137 | es_MX |
dcrupi.alcance | Internacional | es_MX |
dcrupi.pais | Suiza | es_MX |
dc.identifier.doi | https://doi.org/10.1007/978-3-031-46708-0_5 | es_MX |
dc.contributor.coauthor | Hernández, Andrés | |
dcrupi.titulolibro | Automation and Innovation with Computational Techniques for Futuristic Smart, Safe and Sustainable Manufacturing Processes | es_MX |
dc.contributor.authorexterno | Lopez Guerrero, Aida | |
dc.contributor.coauthorexterno | Vazquez Victorica, Karla Isabel | |
dc.contributor.coauthorexterno | Nakasima-Lopez, Mydory Oyuki | |
dc.contributor.coauthorexterno | Olivares Fong, Luz del Consuelo | |
dcrupi.impactosocial | no | es_MX |
dcrupi.vinculadoproyext | no | es_MX |
dcrupi.pronaces | Energía y Cambio Climático | es_MX |
dcrupi.vinculadoproyint | no | es_MX |
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