The proposed approach leverages on well-established paradigms (i.e. numerical simulation, discrete event simulation, etc.) as well as on new concepts (i.e. agent-driven simulation, distributed and interoperable simulation, human-computer vocal interaction) to promote the integration of the Industry 4.0 paradigm with the Intelligent (Smart) factory concept. The reduction of the time to production and optimization of the supply chains is a mandatory step for those manufacturing system that aims to respond and react quickly to the market demand as well as to the market instability. In such a context, the proposed framework seeks to push the available frontiers of knowledge forward proposing a holistic, multidisciplinary M&S approach. It can be used as predictive tool to see how changes implemented in the manufacturing system and along the supply chain may affect the overall system performances.

Document Multi-disciplinary and multi-objective simulation framework to support intelligent and smart manufacturing

LONGO, Francesco;Padovano A.
2016

Abstract

The proposed approach leverages on well-established paradigms (i.e. numerical simulation, discrete event simulation, etc.) as well as on new concepts (i.e. agent-driven simulation, distributed and interoperable simulation, human-computer vocal interaction) to promote the integration of the Industry 4.0 paradigm with the Intelligent (Smart) factory concept. The reduction of the time to production and optimization of the supply chains is a mandatory step for those manufacturing system that aims to respond and react quickly to the market demand as well as to the market instability. In such a context, the proposed framework seeks to push the available frontiers of knowledge forward proposing a holistic, multidisciplinary M&S approach. It can be used as predictive tool to see how changes implemented in the manufacturing system and along the supply chain may affect the overall system performances.
4th industrial revolution ; Modelling & Simulation ; Smart manufacturing
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/183400
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