On the design of an argumentation-based knowledge management system for logistics operations

Harry K.H. Chow, King Lun Tommy Choy, Z. Xin, Wing Bun Lee

Research output: Journal article publicationJournal articleAcademic researchpeer-review

3 Citations (Scopus)

Abstract

The paper proposes an argumentation-based Knowledge Management System (KMS) to help Logistics Service Providers (LSP) with dynamic operations management. The architecture of the proposed system is built using multiagent and ontology technology. Through adopting the defeasible reasoning concept, the proposed system is capable of solving problems which contain knowledge source contradictions. Furthermore, reliable knowledge sources are defined by the system and are used to support the LSPs to make decisions in dynamic logistics operations management under the constraints of time. A system application example of decision-making involving palletising is shown.
Original languageEnglish
Pages (from-to)183-203
Number of pages21
JournalInternational Journal of Management and Decision Making
Volume9
Issue number1
DOIs
Publication statusPublished - 27 Feb 2008

Keywords

  • Argumentation
  • Decision making
  • Defeasible reasoning
  • KMS supply chain management
  • Knowledge management system
  • Logistics
  • SCM

ASJC Scopus subject areas

  • Decision Sciences(all)

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