An improved gate allocation mechanism for better runway optimisation

Strong demand for air transportation services is indicative of business expansion to exploit consumption. The industry nature however spells high capital investment and long lead times, two factors that if poorly managed, will cause service providers to falter in capturing the ballooning market shar...

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Main Author: Ong, Yan Jie
Other Authors: Jitamitra Desai
Format: Final Year Project
Language:English
Published: 2015
Subjects:
Online Access:http://hdl.handle.net/10356/63986
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-639862023-03-04T19:06:31Z An improved gate allocation mechanism for better runway optimisation Ong, Yan Jie Jitamitra Desai School of Mechanical and Aerospace Engineering Air Traffic Management Research Institute DRNTU::Engineering::Systems engineering Strong demand for air transportation services is indicative of business expansion to exploit consumption. The industry nature however spells high capital investment and long lead times, two factors that if poorly managed, will cause service providers to falter in capturing the ballooning market share. Airports in particular face a multitude of international rules, regulatory bodies and territorial space limitations that constrains explorable options to a limited few. A quicker and more cost-efficient method is to optimise operations within current infrastructure to achieve higher utilisation rates, thereby increasing capacity without extra cost. This report studies optimisation of an airport runway or runway throughput, a sub-functional group in airport operations often identfied to be a bottleneck. Current gate allocation practices are examined for its correlation and effectiveness in contributing to improving runway throughput. An improved gate allocation model built on linear programmig techniques is proposed to achieve runway optimisation. The model is implemented in General Algebraic Modelling System (GAMS) modelling environment, and parameters obtained from real-life historical data is used as inputs to establish a baseline. The results are then analysed with respect to the benchmark, and its effectiveness concluded. Bachelor of Engineering (Mechanical Engineering) 2015-05-21T05:52:45Z 2015-05-21T05:52:45Z 2015 2015 Final Year Project (FYP) http://hdl.handle.net/10356/63986 en Nanyang Technological University 68 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Systems engineering
spellingShingle DRNTU::Engineering::Systems engineering
Ong, Yan Jie
An improved gate allocation mechanism for better runway optimisation
description Strong demand for air transportation services is indicative of business expansion to exploit consumption. The industry nature however spells high capital investment and long lead times, two factors that if poorly managed, will cause service providers to falter in capturing the ballooning market share. Airports in particular face a multitude of international rules, regulatory bodies and territorial space limitations that constrains explorable options to a limited few. A quicker and more cost-efficient method is to optimise operations within current infrastructure to achieve higher utilisation rates, thereby increasing capacity without extra cost. This report studies optimisation of an airport runway or runway throughput, a sub-functional group in airport operations often identfied to be a bottleneck. Current gate allocation practices are examined for its correlation and effectiveness in contributing to improving runway throughput. An improved gate allocation model built on linear programmig techniques is proposed to achieve runway optimisation. The model is implemented in General Algebraic Modelling System (GAMS) modelling environment, and parameters obtained from real-life historical data is used as inputs to establish a baseline. The results are then analysed with respect to the benchmark, and its effectiveness concluded.
author2 Jitamitra Desai
author_facet Jitamitra Desai
Ong, Yan Jie
format Final Year Project
author Ong, Yan Jie
author_sort Ong, Yan Jie
title An improved gate allocation mechanism for better runway optimisation
title_short An improved gate allocation mechanism for better runway optimisation
title_full An improved gate allocation mechanism for better runway optimisation
title_fullStr An improved gate allocation mechanism for better runway optimisation
title_full_unstemmed An improved gate allocation mechanism for better runway optimisation
title_sort improved gate allocation mechanism for better runway optimisation
publishDate 2015
url http://hdl.handle.net/10356/63986
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