A dynamic logistics process knowledge-based system - An RFID multi-agent approach

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

Research output: Journal article publicationJournal articleAcademic researchpeer-review

103 Citations (Scopus)

Abstract

Purpose: This paper proposes a real-time knowledge support framework for the development of an RFID-multi-agent based process knowledge-based system which has the ability to solve dynamic logistics process management problems. Design/methodology/approach: The proposed system is developed with "real-time process management" capability which automatically identifies current process status, performs the process logic checking/reasoning, and, provides process knowledge support to staff members when they are tackling logistics activity problems. The unique feature of this on-line knowledge-based system, which enables it to enhance the performance of logistics organizations, is a process management engine incorporating radio-frequency identification (RFID) and multi-agent (MA) technologies. Findings: The capability of the proposed system is demonstrated through an application case study in Eastern Worldwide Company Limited. The result reveals that both performance of operations and the utilization of resources have improved significantly. Originality/value: The proposed system is a novel approach which leverages logistics performance and facilitates the creation of a learning organization through the provision of real-time knowledge support for those who handle logistics operations. Article type: Research Paper.
Original languageEnglish
Pages (from-to)357-372
Number of pages16
JournalKnowledge-Based Systems
Volume20
Issue number4
DOIs
Publication statusPublished - 1 May 2007

Keywords

  • Logistics process knowledge
  • Multi-agent technology
  • Radio-frequency identification (RFID)
  • Real-time knowledge-based system

ASJC Scopus subject areas

  • Management Information Systems
  • Software
  • Information Systems and Management
  • Artificial Intelligence

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