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A dynamic logistics process knowledge-based system – An RFID multi-agent approach
Affiliation:1. AnHui Province Key Laboratory of Special Heavy Load Robot, School of Metallurgy Engineering, Anhui University of Technology, Ma’anshan 243002, China;2. School of Information Science and Engineering, Chengdu University, Chengdu 610106, China;3. School of Electrical and Information Engineering, Anhui University of Technology, Ma’anshan 243002, China;4. College of Information Engineering, Henan University of Science and Technology, Luoyang 471023, China
Abstract:PurposeThis 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/approachThe 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.FindingsThe 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/valueThe 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 typeResearch Paper.
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