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X-WR-CALNAME;VALUE=TEXT:Eventi DIAG
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DTSTART:20231029T030000
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UID:calendar.27383.field_data.0@www.ugovricerca.uniroma1.it
DTSTAMP:20260405T041506Z
CREATED:20231120T170908Z
DESCRIPTION:AbstractThe consequences of natural disasters have significantl
 y increased the loss of human life and material damage in recent years. Su
 ch disasters as earthquakes\, tsunamis\, tornadoes and others can cause se
 rious and lasting damage to regions and countries. Therefore\, it is impor
 tant to know how the transport fleets are organized and managed in the dis
 aster areas\, as it makes a crucial contribution to the efficiency of the 
 relief distribution process. When the suitable places of distribution cent
 ers (DCs) are selected\, a group of places should be selected from them th
 at in some sense better meet the requirements such as: maximizing the reli
 ability index of the selection of DCs\, minimizing costs\, maximizing dema
 nd coverage etc. Given the issues outlined in this study\, we will conside
 r a fuzzy multi-objective emergency location and vehicle routing problem (
 FMOELVRP). It is essential to allocate disaster affected areas and vehicle
 s for DCs. It generates routes from DC to disaster-affected areas\, taking
  into account distributed demand-supply. The purposes of the model are: (1
 ) maximizing the total selection reliability index of opened DCs\, (2) min
 imizing the fixed costs to establish DCs and the vehicle travelling cost\,
  (3) minimizing the maximum travel time of the vehicle routes\, and (4) ma
 ximizing the minimum possibilistic reliability of the routes for all servi
 ce vehicles in the process. Objective functions of (1) and (4) are novel a
 nd their construction and study issues are one of the important tasks of t
 his work. The input to the mathematical model of the system are objective 
 data\, as well as expert evaluations. The outputs of the system will solve
  the FMOELVRP for disasters’ zones. The Intelligent Support System for the
  FMOELVRP in disaster zones will be developed in our future research.
DTSTART;TZID=Europe/Paris:20231124T090000
DTEND;TZID=Europe/Paris:20231124T090000
LAST-MODIFIED:20231120T171255Z
LOCATION:Aula Magna
SUMMARY:Fuzzy Modeling Problems of Facility Location/Transportation Plannin
 g in Disaster-Stricken Zones - Janusz Kacprzyk\, Gia Sirbiladze\, Bezhan G
 hvaberidze
URL;TYPE=URI:http://www.ugovricerca.uniroma1.it/node/27383
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