Search results for "meta-model"

showing 9 items of 9 documents

ISTehnology – integrated Approach to IS Development and Benefits of its Using

2011

The system ISTechnology and benefits of its usage are analyzed in the paper. ISTechnology provides an integrated approach to business modeling and development of information systems. The system consists of a meta-model and applications. The meta-model enables defining of a platform independent business model of the organization. The applications provide the definition and interpretation of the business model. Interpretation of the business model provides functionality of the information system in the selected platform. The lessons learned confirm that the development and maintenance cost of information systems can be significantly reduced by use of the ISTechnology. The paper describes addi…

software product lineEngineeringbusiness.industryArtifact-centric business process modelBusiness system planningmeta-modelBusiness process modelingBusiness domainlcsh:QA75.5-76.95Business Process Model and Notationinformation systemmodel driven architectureFunction modelBusiness architectureSystems engineeringInformation systemlcsh:Electronic computers. Computer sciencebusinessbusiness modelingJournal of Systems Integration
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Structuring Humanitarian Supply Chain Knowledge Through a Meta-Modeling Approach

2017

To develop decision support systems (DSS) that improve humanitarian supply chain (HSC) performance, there is a need for methods that support on field data gathering and knowledge structure. We propose a meta-model to structure the knowledge of HSC and to obtain a shared vision of the HSC. It has been developed to provide a framework to class gathered data by connecting it to HSC concepts. The meta-model includes four packages, defining the collaborative ecosystem (context, actors, objectives, and behavior). The concepts gathered during our field research experiences, added to the HSC core literature, have permitted to build the HSC meta-model layer. Models built from this meta-model can be …

Structure (mathematical logic)021110 strategic defence & security studiesClass (computer programming)Decision support systemProcess managementHorizontal and verticalComputer scienceSupply chain05 social sciences0211 other engineering and technologiesContext (language use)02 engineering and technologyMeta-modelingStructuringHumanitarian supply chain[SPI]Engineering Sciences [physics]0502 economics and businessField researchComputingMilieux_MISCELLANEOUS050203 business & management
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Automated uncertainty quantification analysis using a system model and data

2015

International audience; Understanding the sources of, and quantifying the magnitude of, uncertainty can improve decision-making and, thereby, make manufacturing systems more efficient. Achieving this goal requires knowledge in two separate domains: data science and manufacturing. In this paper, we focus on quantifying uncertainty, usually called uncertainty quantification (UQ). More specifically, we propose a methodology to perform UQ automatically using Bayesian networks (BN) constructed from three types of sources: a descriptive system model, physics-based mathematical models, and data. The system model is a high-level model describing the system and its parameters; we develop this model …

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]generic modeling environment[SPI] Engineering Sciences [physics]Computer scienceuncertainty quantificationMachine learningcomputer.software_genre01 natural sciencesData modelingSystem model[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]010104 statistics & probability03 medical and health sciences[SPI]Engineering Sciences [physics][ SPI ] Engineering Sciences [physics]Sensitivity analysis0101 mathematicsUncertainty quantification[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]030304 developmental biologyautomation0303 health sciencesMathematical modelbusiness.industryConditional probabilityBayesian networkmeta-modelMetamodelingBayesian networkProbability distributionData miningArtificial intelligencebusinesscomputer
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Model-based Engineering for the Integration of Manufacturing Systems with Advanced Analytics

2016

To employ data analytics effectively and efficiently on manufacturing systems, engineers and data scientists need to collaborate closely to bring their domain knowledge together. In this paper, we introduce a domain-specific modeling approach to integrate a manufacturing system model with advanced analytics, in particular neural networks, to model predictions. Our approach combines a set of meta-models and transformation rules based on the domain knowledge of manufacturing engineers and data scientists. Our approach uses a model of a manufacturing process and its associated data as inputs, and generates a trained neural network model as an output to predict a quantity of interest. This pape…

0209 industrial biotechnologyProcess (engineering)Computer scienceneural network02 engineering and technology[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI][SPI]Engineering Sciences [physics]020901 industrial engineering & automationComputer-integrated manufacturing0202 electrical engineering electronic engineering information engineering[ SPI ] Engineering Sciences [physics][ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]Meta-modelArtificial neural networkbusiness.industrymeta-modelData scienceNeural networkPredictive modelingMetamodelingWorkflowAnalyticsData analyticsData analysisDomain knowledgemanufacturing process020201 artificial intelligence & image processingManufacturing processbusinessSoftware engineeringpredictive modeling
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Automated Uncertainty Quantification Through Information Fusion in Manufacturing Processes

2017

International audience; Evaluation of key performance indicators (KPIs) such as energy consumption is essential for decision-making during the design and operation of smart manufacturing systems. The measurements of KPIs are strongly affected by several uncertainty sources such as input material uncertainty, the inherent variability in the manufacturing process, model uncertainty, and the uncertainty in the sensor measurements of operational data. A comprehensive understanding of the uncertainty sources and their effect on the KPIs is required to make the manufacturing processes more efficient. Towards this objective, this paper proposed an automated methodology to generate a hierarchical B…

Computer scienceinjection molding02 engineering and technologycomputer.software_genreIndustrial and Manufacturing Engineering[SPI]Engineering Sciences [physics]GME0202 electrical engineering electronic engineering information engineeringUncertainty quantificationuncertaintyautomationhierarchicalbusiness.industryBayesian network020207 software engineeringmeta-modelAutomationComputer Science ApplicationsMetamodelingInformation fusionBayesian networkControl and Systems Engineeringsemantic020201 artificial intelligence & image processingData miningbusinesscomputer
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A Comparative Analysis of Different Robust Design Approaches in Sheet Stamping Operations

2011

A crucial issue in sheet stamping optimization problems is related to the process robustness improvement: critical scattering in the investigated performances arises due to some noise variables influence, often evolving up design failure itself. In fact, strong variations in the final stamped part or fluctuations of strain distribution may lead to an uncontrolled process design. Such variability cannot be controlled but anyway it is possible to develop proper design tools able to identify robust process calibrations above which the noises variations effects are admissible. In this paper, a multi‐objective optimization problem was analyzed, with the aim to minimize both excessive thinning an…

Mathematical optimizationEngineeringFEMOptimization problembusiness.industryStochastic processProcess designStampingmeta-modelingFinite element methodReliability engineeringRobust designspringbackmulti-objective optimizationRobustness (computer science)Strain distributionrobust designbusinessThinningSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazione
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A Neural Network Meta-Model and its Application for Manufacturing

2015

International audience; Manufacturing generates a vast amount of data both from operations and simulation. Extracting appropriate information from this data can provide insights to increase a manufacturer's competitive advantage through improved sustainability, productivity, and flexibility of their operations. Manufacturers, as well as other industries, have successfully applied a promising statistical learning technique, called neural networks (NNs), to extract meaningful information from large data sets, so called big data. However, the application of NN to manufacturing problems remains limited because it involves the specialized skills of a data scientist. This paper introduces an appr…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]0209 industrial biotechnology[SPI] Engineering Sciences [physics]Computer scienceneural networkBig dataContext (language use)02 engineering and technologycomputer.software_genreMachine learningCompetitive advantageData modeling[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI][SPI]Engineering Sciences [physics]020901 industrial engineering & automationPMML0202 electrical engineering electronic engineering information engineering[ SPI ] Engineering Sciences [physics][ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]data analyticsArtificial neural networkbusiness.industrymeta-modelMetamodelingmanufacturingAnalyticsSustainabilityPredictive Model Markup LanguageData analysis020201 artificial intelligence & image processingData miningArtificial intelligencebusinesscomputer
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Meta-model of a Territorial Intelligence Community

2011

International audience

[SHS.HISPHILSO]Humanities and Social Sciences/History Philosophy and Sociology of SciencesTerritorial Intelligence[SHS.ANTHRO-SE] Humanities and Social Sciences/Social Anthropology and ethnology[ SHS.ANTHRO-SE ] Humanities and Social Sciences/Social Anthropology and ethnology[SHS.HISPHILSO] Humanities and Social Sciences/History Philosophy and Sociology of SciencesTerritorial Intelligence Community[SHS.ANTHRO-SE]Humanities and Social Sciences/Social Anthropology and ethnologyComputingMilieux_MISCELLANEOUS[ SHS.HISPHILSO ] Humanities and Social Sciences/History Philosophy and Sociology of SciencesMeta-model
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A Proposal of Process Fragment Definition and Documentation

2012

This paper focuses on the field of Situational Method Engineering (SME) for the construction of agent-oriented design processes. Whatever SME approach a method designer wants to use, he has to manage two main elements: the (method or process) fragment and the repository where it is stored. Specific fragment definition and documentation are fundamental during these activities, for new process composition, and for the consequent system design activities. This paper aims at illustrating a proposal of fragment definition and documentation. This proposal is aimed to be an input for the IEEE FIPA Design Process Documentation and Fragmentation working group and, as regards our own research work, t…

standardizationSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniKnowledge managementSituational Method Engineeringmethod engineeringbusiness.industryComputer scienceProcess (engineering)Method engineeringmeta-modelAgent-orientedMarket fragmentationdesign processDocumentationFragment (logic)Working groupsDesign activitystandardsDesign processSystems designDesign proceSoftware engineeringbusinessComposition (language)
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