Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/21144
Title: A dynamic logistics process knowledge-based system - An RFID multi-agent approach
Authors: Chow, HKH
Choy, KL 
Lee, WB 
Keywords: Logistics process knowledge
Multi-agent technology
Radio-frequency identification (RFID)
Real-time knowledge-based system
Issue Date: 2007
Source: Knowledge-based systems, 2007, v. 20, no. 4, p. 357-372 How to cite?
Journal: Knowledge-Based Systems 
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.
URI: http://hdl.handle.net/10397/21144
ISSN: 0950-7051
DOI: 10.1016/j.knosys.2006.08.004
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

78
Last Week
1
Last month
2
Citations as of Jun 17, 2017

WEB OF SCIENCETM
Citations

48
Last Week
1
Last month
0
Citations as of Mar 31, 2017

Page view(s)

31
Last Week
4
Last month
Checked on Jun 18, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.