Research and Programming of the Aviation Network of One Express Company
In order to solve the problems in the aviation network in the express company, four primary aviation hubs are chosen from all the aviation nodes of the company and constitute the hub-and-spoke aviation network with the secondary aviation hubs base on the volume of business, geographical location and convenient transportation comprehensively. According to the timeliness demand of the express and the types of the air freighters, the mathematical model is established with the constraint of the soft time windows and the minimum transportation cost of the system as the objective function. It is a multistage and dynamic decision problem with multivariate, so it is difficult to obtain the optimum solution only once. Therefore it is simplified and solved with the greedy algorithm and Ant Colony Optimization synthetically to optimize the distribution of the air freighters in the primary aviation hubs.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784411841
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Supplemental Notes:
- Copyright © 2011 ASCE
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Sun, Hui
- Xiao, Linjing
- Liu, Qicai
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Conference:
- Third International Conference on Transportation Engineering (ICTE)
- Location: Chengdu , China
- Date: 2011-7-23 to 2011-7-25
- Publication Date: 2011
Language
- English
Media Info
- Media Type: Digital/other
- Features: References;
- Pagination: pp 817-822
- Monograph Title: ICTE 2011
Subject/Index Terms
- TRT Terms: Air cargo; Express service; Hub and spoke systems; Logistics; Mathematical models; Network nodes
- Uncontrolled Terms: Ant colony optimization; Greedy algorithms
- Subject Areas: Aviation; Freight Transportation; Planning and Forecasting; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01446442
- Record Type: Publication
- ISBN: 9780784411841
- Files: TRIS, ASCE
- Created Date: Sep 18 2012 1:27PM