2013
DOI: 10.2507/ijsimm12(2)4.233
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Conceptual Model for Management of Digital Factory Simulation Information

Abstract: Digital Factory (DF) aims at proposing simulation tools to design a product and its production system in parallel. Nevertheless, DF is marked by the multiplicity and heterogeneity of simulation models that are used, that slows down its usage in industry. We propose in this paper a conceptual model to manage the different simulation information created and manipulated through a DF project. This model is based on an analysis of the current design strategies and the used simulation tools. Finally, an industrial a… Show more

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Cited by 17 publications
(11 citation statements)
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“…For a designed manufacturing architecture it is always useful to simulate the material flow conduct before applying our design into practice in order to avoid potential flow concentrators (bottlenecks) generating low productivity or even blockage [8].…”
Section: Using the Witness Simulation Software For The Systems's Diagmentioning
confidence: 99%
“…For a designed manufacturing architecture it is always useful to simulate the material flow conduct before applying our design into practice in order to avoid potential flow concentrators (bottlenecks) generating low productivity or even blockage [8].…”
Section: Using the Witness Simulation Software For The Systems's Diagmentioning
confidence: 99%
“…Our proposed model is attached to the conceptual model of InfoSim (Fig.3), which is an information system dedicated to manageinformation on simulations in digital factory, its objective is the integration of product's information, production processes and simulation [1].…”
Section: Conceptual Modelmentioning
confidence: 99%
“…Based on previous research works that contribute to InfoSim, a framework dedicated to DF data and information management and control [1], the main objective of our current research work is to model and implement inside InfoSim a framework for the management and the control of knowledge for digital design and production, allowing to manage and improve the possible DF simulations, and also focusing on knowledge capitalization and experience feedback towards new DF projects.…”
Section: Introductionmentioning
confidence: 99%
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