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Title: Development of a knowledge-based system for enhancing freight forwarding operations
Authors: Lau, HCW
Kwok, SK
Tsui, WT
Keywords: Freight forwarding
Rule-based reasoning
Shipment consolidation
Issue Date: 2007
Publisher: WSEAS Press
Source: WSEAS transactions on systems, 2007, v. 6, no. 5, p. 951-958 How to cite?
Journal: WSEAS transactions on systems 
Abstract: Freight forwarding by air transport has been a growing business with the introduction of wide-bodied aircraft. The major reason of moving cargoes by air is that company losses are able to be alleviated by taking advantage of the speed of delivery. Hong Kong being an air-cargo hub in Asia, from year 2002 to 2003, almost 2.55 million tones of air cargo passed through the Hong Kong International Airport and the figure shows that it has grown by more than 20% in that year. In fact, the majority of these cargoes are the manufactured goods from the fast growing industrial powerhouse of the Peal River Delta. This situation has led to the rapid demand of exported-oriented processing services, resulting in the dramatic expansion of airfreight forwarding industry in Hong Kong. However, the business is still relied on human brain solely, there is no systematic way or intelligent system to help forwarders in making decision in the whole consolidation process. This paper presents a knowledge-based Heuristics Iterative Reasoning System (HIRS) for solving shipment consolidation problem, adopting rule-based reasoning to provide expert advice for cargo allocation and subsequently applying container loading specific heuristics to support the cargo loading process. Afterwards, the iterative improvement mechanism of HIRS undertakes all outcomes until the most optimal solution is found. A presentation of the concept of HIRS and its development are included in this paper with a case study conducted in Oriented Delivery Limited (a Hong Kong-based company) to validate its feasibility.
ISSN: 1109-2777
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