4 research outputs found

    A framework to support semantic interoperability in product design and manufacture

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    It has been recognised that the ability to communicate the meaning of concepts and their intent within and across system boundaries, for supporting key decisions in product design and manufacture, is impaired by the semantic interoperability issues that are presently encountered. This work contributes to the field of semantic interoperability in product design and manufacture. An attribution is made to the understanding and application of relevant concepts coming from the computer science world, notably ontology-based approaches, to help resolve semantic interoperability problems. A novel ontological approach, identified as the Semantic Manufacturing Interoperability Framework (SMIF), has been proposed following an exploration of the important requirements to be satisfied. The framework, built on top of a Common Logic-based ontological formalism, consists of a manufacturing foundation to capture the semantics of core feature-based design and manufacture concepts, over which the specialisation of domain models can take place. Furthermore, the framework supports the mechanisms for allowing the reconciliation of semantics, thereby improving the knowledge sharing capability between heterogeneous domains that need to interoperate and have been based on the same manufacturing foundation. This work also analyses a number of test case scenarios, where the framework has been deployed for fostering knowledge representation and reconciliation of models involving products with standard hole features and their related machining process sequences. The test cases have shown that the Semantic Manufacturing Interoperability Framework (SMIF) provides effective support towards achieving semantic interoperability in product design and manufacture. Proposed extensions to the framework are additionally identified so as to provide a view on imminent future work.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

    Metodolog铆a de implantaci贸n de modelos de gesti贸n de la informaci贸n dentro de los sistemas de planificaci贸n de recursos empresariales. Aplicaci贸n en la peque帽a y mediana empresa

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    La Siguiente Generaci贸n de Sistemas de Fabricaci贸n (SGSF) trata de dar respuesta a los requerimientos de los nuevos modelos de empresas, en contextos de inteligencia, agilidad y adaptabilidad en un entono global y virtual. La Planificaci贸n de Recursos Empresariales (ERP) con soportes de gesti贸n del producto (PDM) y el ciclo de vida del producto (PLM) proporciona soluciones de gesti贸n empresarial sobre la base de un uso coherente de tecnolog铆as de la informaci贸n para la implantaci贸n en sistemas CIM (Computer-Integrated Manufacturing), con un alto grado de adaptabilidad a la estnictura organizativa deseada. En general, esta implementaci贸n se lleva desarrollando hace tiempo en grandes empresas, siendo menor (casi nula) su extensi贸n a PYMEs. La presente Tesis Doctoral, define y desarrolla una nueva metodolog铆a de implementaci贸n pan la generaci贸n autom谩tica de la informaci贸n en los procesos de negocio que se verifican en empresas con requerimientos adaptados a las necesidades de la SGSF, dentro de los sistemas de gesti贸n de los recursos empresariales (ERP), atendiendo a la influencia del factor humano. La validez del modelo te贸rico de la metodolog铆a mencionada se ha comprobado al implementarlo en una empresa del tipo PYME, del sector de Ingenier铆a. Para el establecimiento del Estado del Arte de este tema se ha dise帽ado y aplicado una metodolog铆a espec铆fica basada en el ciclo de mejora continua de Shewhart/Deming, aplicando las herramientas de b煤squeda y an谩lisis bibliogr谩fico disponibles en la red con acceso a las correspondientes bases de datos

    Agents and ontologies for e-business

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