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Modeling of system knowledge for efficient agile manufacturing: Tool evaluation, selection and implementation scenario in SMEs

: Constantinescu, Carmen; Matarazzo, Davide; Dienes, Désirée; Francalanza, Emmanuel; Bayer, Martin

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Constantinescu, Carmen; Bauer, Wilhelm; Sauer, Olaf; Maropoulos, Paul ; Fraunhofer-Institut für Arbeitswirtschaft und Organisation -IAO-, Stuttgart; International Academy for Production Engineering -CIRP-, Paris:
Disruptive Innovation in Manufacturing Engineering towards the 4th Industrial Revolution : 8th International Conference on Digital Enterprise Technology
Amsterdam: Elsevier, 2014 (Procedia CIRP 25)
International Conference on Digital Enterprise Technology (DET) <8, 2014, Stuttgart>
Konferenzbeitrag, Zeitschriftenaufsatz, Elektronische Publikation
Fraunhofer IAO ()

In the manufacturing world, knowledge is fundamental in order to achieve effective and efficient real time decision making. In order to make manufacturing system knowledge available to the decision maker it has to be first captured and then modelled. Therefore tools that provide a suitable means for capturing and representation of manufacturing system knowledge are required in several types of industrial sectors and types of company's (large, SME). A literature review about best practice for capturing requirements for simulation development and system knowledge modeling has been conducted. The aim of this study was to select the best tool for manufacturing system knowledge modelling in an open-source environment. In order to select this tool, different criteria were selected, based on which several tools were analyzed and rated. An exemplary use case was then developed using the selected tool, Systems Modeling Language (SysML). Therefore, the best practice has been studied, evaluated, selected and then applied to two industrial use cases by the use of a selected opens source tool.