Ontoloji tabanlı çok-etmenli sanal fabrika sisteminin tasarımı ve geliştirilmesi.

Major developments in computers and information technologies, enable industrial and mechanical engineers to establish new net based, virtual collaboration platforms for enterprises. Benefiting from virtual enterprise platform enterprises will be able to combine their resources and capabilities on project based collaborations meanwhile protect their independent mainstream policies and secure their secret information. This concept is called virtual enterprise(VE). Virtual Enterprise (VE) is a collaboration model between multiple business partners in a value chain. The VE model is particularly feasible and appropriate for Small and Medium Enterprises (SME) and industry parks containing multiple SMEs that have different vertical competencies. One of the main targets of this research is to create an Ontology based Multi Agent Virtual Enterprise (OMAVE) System to prepare an appropriate platform for collaboration between technology start-ups in techno-parks and SMEs in Organized Industrial Zones in order to produce high value added high-tech products. OMAVE aims to help SMEs to shift from classic trend of manufacturing part pieces towards high-tech, innovative and research based products. In this way and to reach this goal a new semantic data infrastructure to enhance Re-Configurability and Flexibility of virtual enterprise systems has been developed. In order to support flexibility in Virtual Enterprise business processes and enhance its integration to enterprises' available manufacturing systems (e.g. MRP) an ontology based domain model of VE system has been established. OWL DL semantic data structure of VE by defining concepts, axioms, rules and functions in VE system has been developed. TDB data store to keep VE data and information in form of triples developed. SPARQL semantic RDF query language is used to handle and manipulate data on developed system data store. This architecture supports structure flexibility for developed VE infrastructure and improve reusability of data and knowledge in VE life cycle. To establish a multi agent based partner selection platform different agent types have been developed. These agents collaborate and compete with each other to select the most appropriate partner for the forthcoming VE project consortium. The agent based auctioning platform is coupled with a Fuzzy-AHP-TOPSIS multi criteria decision making algorithm to evaluate incoming bids from agents and rank proposals in each iteration. It is also important to notice that here, agents interaction's semantic is provided by an agent ontology. This agent ontology provides concepts, properties and all message formats for agents to settle a common language in interactions between agents. Implementing concurrent engineering, collaborative design and Product Life Cycle Management (PLM) concepts by integrating Dassault systems web based CATIA/ENOVIA V6 design and PLM tools to OMAVE system. To test and verify these achievements a case study to produce a test product by using developed OMAVE tools is established. This test product manufactured by contributions of SMEs from OSTIM organized Industrial Zone Aviation and Defense Cluster.Ph.D. - Doctoral Progra

SML: un lenguaje de dominio específico para monitoreo de sistemas

Las buenas prácticas de desarrollo de software sugieren que los sistemas incluyan funcionalidades de monitoreo, permitiendo la verificación, auditoría, trazabilidad de las operaciones y rápida respuesta frente a incidentes. Por otro lado, los lenguajes de modelado de dominio específico (DSML) muestran gran utilidad al permitir plasmar el conocimiento a un alto nivel de abstracción. Incluso, la aplicación de herramientas de transformación de DSML hacia implementaciones específicas reduce considerablemente el esfuerzo y tiempo de desarrollo, optimizando los recursos en el diseño de los sistemas, sin preocuparse de detalles de bajo nivel. En este proyecto se propone un lenguaje de modelado de dominio específico orientado a la monitorización de sistemas de software, con enfoque a la generación de plataformas en la nube para servicios de monitoreo. Para esto, se recopilaron las necesidades de monitoreo de diferentes áreas y aplicaciones, se sintetizaron los conceptos relevantes, se consolidaron necesidades en común permitiendo generalizar y dotar al lenguaje de la suficiente semántica y expresividad para la mayoría de dominios. Se dotó al lenguaje de modelado de sintaxis y semántica, definiendo los componentes gráficos que permiten expresar diferentes necesidades de monitoreo, y especificar restricciones, contextos y notaciones, respectivamente. Finalmente, cabe destacar, que este estudio busca contribuir con la industria 4.0, proporcionando una herramienta de diseño para facilitar el desarrollo de soluciones de monitoreo de sistemas. El lenguaje para monitoreo de sistemas, por sus siglas en inglés (SML) está orientado a la integración de datos en sistemas de sistemas, extendiendo el alcance del monitoreo hacia la perspectiva de un tercero (entidad de regulación, auditoria o servicios de monitoreo en la nube)Best practices in software development suggest that systems include monitoring functionalities, allowing verification, auditing, traceability of operations, and quick response to incidents. On the other hand, domain-specific modeling languages (DSML) have shown great utility by allowing them to portray knowledge at a high level of abstraction. Even the application of DSML transformation tools towards specific implementations considerably reduces development time and effort, optimizing resources to take advantage of them in improving the design of systems, without worrying about low-level details. In this work, a domain-specific modeling language oriented to systems monitoring specification is proposed, with a focus on the generation of cloud platforms for monitoring services. For this, the monitoring needs of different areas and applications were considered, the relevant concepts were synthesized, everyday needs were unified and consolidated, allowing to generalize and provide the modeling language with sufficient expression capabilities for monitoring the most domains. The syntax and semantics modeling language was provided, defining the graphical components that allow expressing each of the monitoring needs, and specifying restrictions, contexts, and notations, respectively. This study aims to contribute to Industry 4.0, with a design tool to facilitate the development processes of system monitoring solutions. This language is oriented to the integration of data in system of systems, extending the scope of the monitoring towards the perspective of a third party (regulatory entity, audit or monitoring services in the cloud)Magíster en Gestión Estratégica de Tecnologías de la InformaciónCuenc