A 0-1 MINLP approach for solving the air cargo loading problem

In this research, we study the air cargo loading problem (ACL), which aims to assign cargo containers to appropriate loading positions within a freight carrier aircraft. Here, as we deal with an aircraft that has been specially reconfigured into a freight aircraft from originally a passenger aircraf...

Full description

Saved in:
Bibliographic Details
Main Author: Li, Liqun
Other Authors: School of Mechanical and Aerospace Engineering
Format: Theses and Dissertations
Language:English
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/10356/72443
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-72443
record_format dspace
spelling sg-ntu-dr.10356-724432023-03-11T17:41:43Z A 0-1 MINLP approach for solving the air cargo loading problem Li, Liqun School of Mechanical and Aerospace Engineering DRNTU::Engineering::Aeronautical engineering In this research, we study the air cargo loading problem (ACL), which aims to assign cargo containers to appropriate loading positions within a freight carrier aircraft. Here, as we deal with an aircraft that has been specially reconfigured into a freight aircraft from originally a passenger aircraft, this leads to a novel air cargo loading problem that is subject to four types of constraints, namely: assignment constraints; maximum position weight limits and zero fuel weight limit considerations; center of gravity (CG) envelope limiting conditions, which are based on the aircraft weight and fluctuating CG during the refueling process; and finally, respecting panel weight limits (a legacy constraint from the passenger aircraft structure), which are related to the CG envelope. We minimize the deviation from an optimum CG value, which is determined based on fuel economy and safety restrictions. This problem is formulated as a 0-1 mixed-integer nonlinear program (MINLP), which is subsequently linearized, and real-world passenger-to-freighter aircraft configurations are utilized to test the proposed formulation. Our computational results, based on four different aircraft loading configurations, indicate that improvement in the objective function (averaged over all test instances) can be achieved as compared with a more traditionally-used computerized method in the freight cargo industry. Master of Science (Supply Chain & Logistics) 2017-07-18T01:12:33Z 2017-07-18T01:12:33Z 2017 Thesis http://hdl.handle.net/10356/72443 en 39 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::Aeronautical engineering
spellingShingle DRNTU::Engineering::Aeronautical engineering
Li, Liqun
A 0-1 MINLP approach for solving the air cargo loading problem
description In this research, we study the air cargo loading problem (ACL), which aims to assign cargo containers to appropriate loading positions within a freight carrier aircraft. Here, as we deal with an aircraft that has been specially reconfigured into a freight aircraft from originally a passenger aircraft, this leads to a novel air cargo loading problem that is subject to four types of constraints, namely: assignment constraints; maximum position weight limits and zero fuel weight limit considerations; center of gravity (CG) envelope limiting conditions, which are based on the aircraft weight and fluctuating CG during the refueling process; and finally, respecting panel weight limits (a legacy constraint from the passenger aircraft structure), which are related to the CG envelope. We minimize the deviation from an optimum CG value, which is determined based on fuel economy and safety restrictions. This problem is formulated as a 0-1 mixed-integer nonlinear program (MINLP), which is subsequently linearized, and real-world passenger-to-freighter aircraft configurations are utilized to test the proposed formulation. Our computational results, based on four different aircraft loading configurations, indicate that improvement in the objective function (averaged over all test instances) can be achieved as compared with a more traditionally-used computerized method in the freight cargo industry.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Li, Liqun
format Theses and Dissertations
author Li, Liqun
author_sort Li, Liqun
title A 0-1 MINLP approach for solving the air cargo loading problem
title_short A 0-1 MINLP approach for solving the air cargo loading problem
title_full A 0-1 MINLP approach for solving the air cargo loading problem
title_fullStr A 0-1 MINLP approach for solving the air cargo loading problem
title_full_unstemmed A 0-1 MINLP approach for solving the air cargo loading problem
title_sort 0-1 minlp approach for solving the air cargo loading problem
publishDate 2017
url http://hdl.handle.net/10356/72443
_version_ 1761781649671979008