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Reducing queue wait times at Los Angeles International Airport

Operations research and queue theory have many different applications, providing tremendous value for different organizations. With the rise of fast computers and better data, stochastic processes can be better modeled into simulations to provide results of higher quality. The application of Operations Research is a very interesting intersection of mathematics, statistics, computer science and management science. In this project, the benefits of using point wise stationary approximations and stationary independent period by period approximationsto simulate staffing requirements at LAX (Los Angeles International Airport) in conjuction are examined with the motivation of reducing arrival processing times. This paper then examines the performance of different airport layouts, utilizing a discrete event simulation.

Identiferoai:union.ndltd.org:CLAREMONT/oai:scholarship.claremont.edu:cmc_theses-1970
Date01 January 2014
CreatorsSedani, Harshit
PublisherScholarship @ Claremont
Source SetsClaremont Colleges
Detected LanguageEnglish
Typetext
Formatapplication/pdf
SourceCMC Senior Theses
Rights© 2014 Harshit Sedani

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