dc.contributorChiwiacowsky, Leonardo Dagnino
dc.creatorGonçalves, Marcelo
dc.date.accessioned2016-04-29T13:34:31Z
dc.date.accessioned2022-09-09T21:34:49Z
dc.date.accessioned2023-03-13T22:58:30Z
dc.date.available2016-04-29T13:34:31Z
dc.date.available2022-09-09T21:34:49Z
dc.date.available2023-03-13T22:58:30Z
dc.date.created2016-04-29T13:34:31Z
dc.date.created2022-09-09T21:34:49Z
dc.date.issued2015-08-19
dc.identifierhttp://148.201.128.228:8080/xmlui/handle/20.500.12032/33342
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/6196692
dc.description.abstractThe lack of a direct quantitative relation with the result of the organization makes it difficult to decide which improvements must first receive the resources available. For this decision to be a difficult task and dependent on manager’s experience, the use of methods to support quantitative decision-making can make it more assertive. This study aims to explore the multi-criteria analysis methodology for prioritization of intangible improvements in the production process, in alignment with the strategic positioning of the organization. In order to achieve this objective, this research proposes a model for prioritization of intangible improvements in the production process, using the SWOT analysis tool for clustering the relevant factors in a process improvement scenario for a company of ceramist sector. These factors were clustered and used to build a network to represent their dependency relationships. Due to the interdependence of the factors, the multi-criteria method Analytic Network Process (ANP) was applied to analyze together, the influence of the factors for prioritizing alternative represented by intangible improvements in a productive environment. Both factors and problem network were defined by a team composed of managers and specialists. As a result, this research presents the prioritization of intangible improvements, as the result of the construction of unweighted and weighted matrices followed by the application of the limit process of the weighted matrix. By performing a sensitivity analysis to the weights of the clusters, the robustness of the obtained prioritization has been verified.
dc.publisherUniversidade do Vale do Rio dos Sinos
dc.rightsopenAccess
dc.subjectMelhorias intangíveis
dc.subjectAnalytic network process (ANP)
dc.titleUma proposta de modelo para priorização de melhorias intangíveis em um ambiente produtivo
dc.typeDissertação


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