Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/22504
Title: Development of a profit-based air cargo loading information system
Authors: Lau, HCW
Tsui, WT
Lee, CKM
Ho, GTS
Ning, A
Keywords: Airfreight forwarding business
Heuristics
Objective function
Profit optimization
Rule-based reasoning
Issue Date: 2006
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on industrial informatics, 2006, v. 2, no. 4, p. 303-312 How to cite?
Journal: IEEE transactions on industrial informatics 
Abstract: In today's competitive logistics business environment, airfreight forwarders need to optimize every aspect of their logistics operations. However, forwarders still heavily rely on human brain and working experiences for calculating complex cargo packing and scheduling problems. Although recent research studies related to cargo packing and scheduling problems have resulted in the development of a number of advanced techniques of cargo planning, it can be seen that most of the research work is focused on the optimization of space in order to achieve the maximum possible amount of cargo to be packed in the minimum of space. After numerous site evaluation and end-user feedbacks, it is found that space optimization does not necessarily cause profit optimization, which is the ultimate aim of logistics providers. A study of contemporary research publications indicates that there are inadequate research studies related to profit-based optimization in cargo packing areas. This paper presents a profit-based air cargo loading information system (ACLIS) that embeds an innovative technology known as heuristics iterative reasoning technology (HIRT) that supports loading plan generation, focusing on maximization of the profit margin. In general, the proposed system is meant to maximize the profit in the airfreight forwarding business. It adopts an objective function governed by a list of constraints together with rule-based reasoning to provide expert advice to support the generation of appropriate loading plans.
URI: http://hdl.handle.net/10397/22504
ISSN: 1551-3203
EISSN: 1941-0050
DOI: 10.1109/TII.2006.885193
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