Design of a knowledge-based logistics strategy system

Harry K.H. Chow, King Lun Tommy Choy, Wing Bun Lee, Tung Sun Chan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

75 Citations (Scopus)


Traditionally, the formulation of logistics strategies to execute various logistics services is done by human experts. In this paper, a knowledge-based logistics strategy system (KLSS) is designed in helping them to support the logistics strategy development stage by retrieving and analyzing useful knowledge and solutions in a timely and cost effective manner. The proposed knowledge-based system, which is suitable for usage in Hong Kong/Pearl River Delta region, enhances the effectiveness in formulating logistics strategies by integrating techniques like data warehouse, on-line analytical processing, multi-dimensional database management system and case-based reasoning. Through applying KLSS in Eastern Worldwide Company (EWW), resource utilization is maximized and work efficiency is greatly reduced.
Original languageEnglish
Pages (from-to)272-290
Number of pages19
JournalExpert Systems with Applications
Issue number2
Publication statusPublished - 1 Aug 2005


  • Case-based reasoning
  • Data warehouse
  • Knowledge-based system
  • Logistics strategy
  • On-line analytical processing

ASJC Scopus subject areas

  • Engineering(all)
  • Computer Science Applications
  • Artificial Intelligence

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