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Modeling Green Logistics

Authors: BRUZZONE, AGOSTINO; TREMORI, ALBERTO; MASSEI, MARINA; Tarone F.;

Modeling Green Logistics

Abstract

This paper propose an innovative simulation model based on web technologies devoted to analyze environmental impact of the whole supply chain. The authors developed a whole framework for collecting data from different users including good producers, logistics operators and retailers by a web questionnaire; this service is automatically integrated with a simulator that evaluate the green aspects of each case by self generating a model for this specific case and providing synthetic results; in addition the green log model developed allows to create interactively very complex supply chain. The paper propose the general architecture of the green log model and an example for supporting its validation and verification.

Country
Italy
Related Organizations
Keywords

Intelligent agents | Interoperability | Interoperable simulation

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    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).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
3
Average
Average
Average
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