A business-to-business e-commerce system using software agents and RFID

Lei Ye; Adam S K Ho; Solomon K S Leung; Chun Bun Henry Chan

A business-to-business e-commerce system using software agents and RFID

Lei Ye, Adam S K Ho, Solomon K S Leung, Chun Bun Henry Chan

Research output: Journal article publication › Journal article › Academic research › peer-review

Abstract

This paper presents a business-to-business e-commerce system that has two parts: a procurement system based on mobile agents and a logistics control system based on RFID. The focus of this work is on the control system. In particular, two contributions are made. First, we employ an XML-based method that effectively and flexibly reads/writes RFID tags for the purpose of identifying goods. Second, we employ two Markov decision models and a genetic algorithm to find the most space-and-value-efficient way to load trucks using the information on the RFID tags. Analytical results are presented to evaluate the effectiveness of the system.

Original language	English
Pages (from-to)	169-179
Number of pages	11
Journal	Computer Systems Science and Engineering
Volume	28
Issue number	3
Publication status	Published - 1 May 2013

Keywords

Agents
B2B electronic commerce
Logistics
RFID

ASJC Scopus subject areas

General Computer Science
Control and Systems Engineering
Theoretical Computer Science

Cite this

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abstract = "This paper presents a business-to-business e-commerce system that has two parts: a procurement system based on mobile agents and a logistics control system based on RFID. The focus of this work is on the control system. In particular, two contributions are made. First, we employ an XML-based method that effectively and flexibly reads/writes RFID tags for the purpose of identifying goods. Second, we employ two Markov decision models and a genetic algorithm to find the most space-and-value-efficient way to load trucks using the information on the RFID tags. Analytical results are presented to evaluate the effectiveness of the system.",

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AB - This paper presents a business-to-business e-commerce system that has two parts: a procurement system based on mobile agents and a logistics control system based on RFID. The focus of this work is on the control system. In particular, two contributions are made. First, we employ an XML-based method that effectively and flexibly reads/writes RFID tags for the purpose of identifying goods. Second, we employ two Markov decision models and a genetic algorithm to find the most space-and-value-efficient way to load trucks using the information on the RFID tags. Analytical results are presented to evaluate the effectiveness of the system.

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A business-to-business e-commerce system using software agents and RFID

Abstract

Keywords

ASJC Scopus subject areas

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