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Self-optimization aspects for dynamic scheduling

Authors: Pereira, Ivo; Madureira, Ana Maria;

Self-optimization aspects for dynamic scheduling

Abstract

Scheduling is a critical function that is present throughout many industries and applications. A great need exists for developing scheduling approaches that can be applied to a number of different scheduling problems with significant impact on performance of business organizations. A challenge is emerging in the design of scheduling support systems for manufacturing environments where dynamic adaptation and optimization become increasingly important. At this scenario, self-optimizing arise as the ability of the agent to monitor its state and performance and proactively tune itself to respond to environmental stimuli.

Country
Portugal
Keywords

Scheduling

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    visibility views 114
    download downloads 4K
  • citations
    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).
    0
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    Powered byBIP!BIP!
  • 114
    views
    4K
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
citations
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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
114
4K
Funded by
FCT| LA 14
Project
LA 14
Incentive - LA 14 - 2013
  • Funder: Fundação para a Ciência e a Tecnologia, I.P. (FCT)
  • Project Code: Incentivo/EEI/LA0014/2013
  • Funding stream: 6817 - DCRRNI ID
,
FCT| LA 1
Project
LA 1
Incentive - LA 1 - 2013
  • Funder: Fundação para a Ciência e a Tecnologia, I.P. (FCT)
  • Project Code: Incentivo/SAU/LA0001/2013
  • Funding stream: 6817 - DCRRNI ID
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