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Reactive fuzzy dispatching rule for automated guided vehicles

Authors: Alcides Xavier Benincasa; Orides Morandin Jr.; Edilson R. R. Kato;

Reactive fuzzy dispatching rule for automated guided vehicles

Abstract

The automated manufacturing system (AMS) scheduling complexity increases with products customization, due dates, alternative routes and no foresee demand in the system. One of the important aspects in shop floor is to ensure that the parts will be at the right position and at the defined time. In this sense it's necessary to have a good transportation system, which allows flexibility and integration, considering a designed performance to the manufacturing system. AGVs have been used to reach this performance, but there is a serious problem for the dispatching rule definition. There are some dispatching techniques using single rule and composed ones, where the main idea is to consider a good performance for the entire manufacturing system. This work presents an approach for a definition of an AGV dispatching rule based on fuzzy logic, that considers the actual status of the manufacturing system and takes the decision on real time.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
10
Average
Top 10%
Average
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