Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/25827
Title: A strategic knowledge-based planning system for freight forwarding industry
Authors: Chow, HKH
Choy, KL 
Lee, WB 
Keywords: Collaborative logistics
Consolidated freight service
Freight forwarding industry
Knowledge-based system
Web technology
Issue Date: 2007
Publisher: Pergamon Press
Source: Expert systems with applications, 2007, v. 33, no. 4, p. 936-954 How to cite?
Journal: Expert systems with applications 
Abstract: In recent years, over half of the Hong Kong freight forwarding firms experienced a decline in business volume due to the growing challenge from the neighbour ports of Yantian and Shekou in Shenzhen, China, which operated in a much cheaper mode. In order to remain competitive, local freight forwarders in Hong Kong must establish a long-term union relationship with their customers such as the provision of customized logistics services. One of the ways is through the use of a co-loading shipment plan, which is a knowledge intensive and complex process involving multiple knowledge source and decision rules. This paper presents hybrid knowledge and model system, which integrates mathematical models with knowledge rules, in the formulation of such co-loading shipment plans. A strategic knowledge-based planning system, (SKPS) integrates knowledge rules with mathematical model for solving problems of co-loading shipment plans formulation and market constriction prevention, is proposed. The system was implemented in Elite World Logistics Service Limited (EW), a local freight forwarding company, for supporting the planning process of a co-loading shipping plan. The result reveals that both customer retention rate and resource utilization has increased significantly.
URI: http://hdl.handle.net/10397/25827
ISSN: 0957-4174
EISSN: 1873-6793
DOI: 10.1016/j.eswa.2006.08.004
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