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family is heavily approached starting with RFID age. Our purpose here is to
leverage the combination of different functional requirements under autonomic
computing approach.
The solution proposed in this paper has been evaluated using the scenario of
a route scheduler for logistics companies. It consists of several depots, located at
the outskirts of a city, providing construction materials and equipment. Inside
the city there are a number of construction sites, which have limited storing
capacity. Several minivans agents are used to transport materials and equipment,
from and to the construction sites, according to the dispatcher approvals. The
minivans have to deliver the materials in the shortest time possible, so they
have to reconfigure the route if a trac jam occurs or other exceptional trac
condition occurs.
Computing the trac load on the city streets has been done using the follow-
ing approach. All the agents (transport company minivans and also the other
vehicles participating to the trac) transmit anonymously their location to a
trac information service provider. The raw location data is used to detect traf-
fic jams and other unpredictable events which are broadcasted to the interested
parties.
Figure
2
depicts the main entities that are considered in the material delivery
scenario. The construction sites agents send the materials and equipment needs
to the depot agent. The transport company has several minivans which are used
for delivering the construction materials from the depot to the different con-
struction sites. Because the storage capacity of each construction site is limited,
the transport company has to deliver only those materials needed in the current
construction stage.
In the presented scenario the following interactions between agents are needed
(see Fig
2
):
(1) each construction site dispatcher sends the material and equipment needs to
the depot administrator;
Fig. 2.
The construction materials delivery system.
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