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Meistaravörn við verkfræðideild Kristinn Ingi Guðjónsson

MSc í rekstrarverkfræði

  • 12.1.2023, 15:30 - 16:30, Háskólinn í Reykjavík

Fimmtudaginn 12. janúar kl. 15:30 mun Kristinn Ingi Guðjónsson verja 30 ECTS verkefni sitt til meistaragráðu í rekstrarverkfræði „Simulation and analysis of inbound baggage handling at Keflavík Airport“. Fyrirlesturinn fer fram í M102 og eru allir velkomnir.

Nemandi: Kristinn Ingi Guðjónsson

Leiðbeinandi: Eyjólfur Ingi Ásgeirsson og Sigurður Gestsson

Prófdómari: Ingólfur Þór Ágústsson

Útdráttur:

Improving customer satisfaction is always the goal for every airport and airline, and the last
place to disappoint is the handling of the baggage. Therefore baggage handling is an essential
part of the passenger experience. Baggage handling can be split into outbound baggage handling
and inbound baggage handling. Outbound baggage handling is when passengers are departing
and the baggage is screened for prohibited substances, sorted and placed into the airplane.
Inbound baggage handling is the process of delivering the baggage from the plane to the arrival
passengers.
In this thesis, an analysis of the inbound baggage process was examined. A simulation model
was built that concentrated on the inbound baggage handling process at Keflavík Airport. The
simulation model replicates the Baggage Claim area and helps identify the system’s bottlenecks
or possible problem that can aid decision-making for the operations department of the airport.
Various scenarios were made to determine the delimitation of the system.
The simulation model explored how the system reacted with different scenarios and when the
system needed external help because of system overload. Results from the model indicated that
the system could handle the day to day operations but that it was sensitive during peak times.
The model showed how important it is for the operations department of the airport to have a
well planned schedule for the flights and be able to be proactive when handling unpredictable
scenarios by using i.e the simulation model.



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