Knowledge-Based Systems in Artificial Intelligence: 2 Case Studies
Knowledge-Based Systems in Artificial Intelligence: 2 Case Studies
Working Knowledge: How Organizations Manage What They Know
Working Knowledge: How Organizations Manage What They Know
Better Knowledge Management through Knowledge Engineering
IEEE Intelligent Systems
The Three-Dimensional Bin Packing Problem
Operations Research
Guided Local Search for the Three-Dimensional Bin-Packing Problem
INFORMS Journal on Computing
Design of a knowledge-based logistics strategy system
Expert Systems with Applications: An International Journal
Multi-agent framework for third party logistics in E-commerce
Expert Systems with Applications: An International Journal
Developing a marketing decision model using a knowledge-based system
Knowledge-Based Systems
A novel self-organizing fuzzy rule-based system for modelling traffic flow behaviour
Expert Systems with Applications: An International Journal
Modeling the knowledge-flow view for collaborative knowledge support
Knowledge-Based Systems
Inter-organizational relationships and information sharing in supply chains
International Journal of Information Management: The Journal for Information Professionals
Hi-index | 12.05 |
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.