Data Analysis and Monte Carlo Simulation of Airport Check-In Process

In a bid to increase airline business at one of the largest Asian airport, conflicting views of the availability of check-in counters drove the need for a more detailed analysis to aid decision making. We document here our attempt to determine the optimal number of check-in counters required for a s...

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Main Authors: MA, Nang Laik, CHEONG, Michelle Lee Fong, CHOY, Junyu
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2011
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Online Access:https://ink.library.smu.edu.sg/sis_research/1496
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spelling sg-smu-ink.sis_research-24952018-08-15T08:43:01Z Data Analysis and Monte Carlo Simulation of Airport Check-In Process MA, Nang Laik CHEONG, Michelle Lee Fong CHOY, Junyu In a bid to increase airline business at one of the largest Asian airport, conflicting views of the availability of check-in counters drove the need for a more detailed analysis to aid decision making. We document here our attempt to determine the optimal number of check-in counters required for a single flight with 200 scheduled passengers in a 2-hour check-in period using Monte Carlo Simulation. Our analysis of the passenger arrival pattern supported that the inter-arrival time can be approximated to follow an exponential distribution. By testing the Monte Carlo Simulation model with increasing number of check-in counters, we were able to conclude that three check-in counters were optimal to satisfy the service level requirement that at least 90% of the passengers must be served within 10 minutes upon arrival at the check-in queue. Any increase in the number of check-in counters will not improve service level significantly and instead it will result in wastage of check-in counters which would be under-utilized. In additional, we further extend our analysis to cater for different passenger loads from 50 to 550 and determine the linear relationship between the number of counters required and passenger load. 2011-01-01T08:00:00Z text https://ink.library.smu.edu.sg/sis_research/1496 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University airport terminal management check-in counter assignment Monte Carlo Simulation Spreadsheet modeling Artificial Intelligence and Robotics Business Operations Research, Systems Engineering and Industrial Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic airport terminal management
check-in counter assignment
Monte Carlo Simulation
Spreadsheet modeling
Artificial Intelligence and Robotics
Business
Operations Research, Systems Engineering and Industrial Engineering
spellingShingle airport terminal management
check-in counter assignment
Monte Carlo Simulation
Spreadsheet modeling
Artificial Intelligence and Robotics
Business
Operations Research, Systems Engineering and Industrial Engineering
MA, Nang Laik
CHEONG, Michelle Lee Fong
CHOY, Junyu
Data Analysis and Monte Carlo Simulation of Airport Check-In Process
description In a bid to increase airline business at one of the largest Asian airport, conflicting views of the availability of check-in counters drove the need for a more detailed analysis to aid decision making. We document here our attempt to determine the optimal number of check-in counters required for a single flight with 200 scheduled passengers in a 2-hour check-in period using Monte Carlo Simulation. Our analysis of the passenger arrival pattern supported that the inter-arrival time can be approximated to follow an exponential distribution. By testing the Monte Carlo Simulation model with increasing number of check-in counters, we were able to conclude that three check-in counters were optimal to satisfy the service level requirement that at least 90% of the passengers must be served within 10 minutes upon arrival at the check-in queue. Any increase in the number of check-in counters will not improve service level significantly and instead it will result in wastage of check-in counters which would be under-utilized. In additional, we further extend our analysis to cater for different passenger loads from 50 to 550 and determine the linear relationship between the number of counters required and passenger load.
format text
author MA, Nang Laik
CHEONG, Michelle Lee Fong
CHOY, Junyu
author_facet MA, Nang Laik
CHEONG, Michelle Lee Fong
CHOY, Junyu
author_sort MA, Nang Laik
title Data Analysis and Monte Carlo Simulation of Airport Check-In Process
title_short Data Analysis and Monte Carlo Simulation of Airport Check-In Process
title_full Data Analysis and Monte Carlo Simulation of Airport Check-In Process
title_fullStr Data Analysis and Monte Carlo Simulation of Airport Check-In Process
title_full_unstemmed Data Analysis and Monte Carlo Simulation of Airport Check-In Process
title_sort data analysis and monte carlo simulation of airport check-in process
publisher Institutional Knowledge at Singapore Management University
publishDate 2011
url https://ink.library.smu.edu.sg/sis_research/1496
_version_ 1770571208108015616