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Distributed Manufacturing Systems simulation platform

Authors: Nuno Miguel Nave Alcacarenho; Joao Almeida das Rosas;

Distributed Manufacturing Systems simulation platform

Abstract

This article describes the development of a Distributed Manufacturing Systems (DMS) simulation platform. Current technological environments leave no space to faulty and un-optimized manufacturing processes. Being able to prevent these processes is crucial to keep manufacturing systems up-to-date and running smoothly. To ensure it, one can use a variety of methods, such as simulation. The simulation of DMS can be used to foresee manufacturing behaviors, which can then be examined and improved before these systems are developed or modified. However, existing simulation packages cannot simultaneously simulate the several and relevant aspects of a DMS, due to its heterogeneity and constituents autonomy. The solution proposed in our research work relies in the combination of distinct simulation packages, already available for utilization, to form an aggregation simulation platform, each one able to simulate specific aspects of a DMS. An application example illustrates how, with this platform, we can perform the simulation of DMS with improved outcomes from simulations.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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