A Multi-Agent Framework for Supporting Intelligent Fourth-Party Logistics

A distributed intelligent agent-based framework that supports fourth-party logistics optimization under a web-based e-Commerce environment has been proposed in this paper. In the framework, customer job requests come through an e-Procurement service. These requests are consolidated and pushed to the...

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Main Authors: LAU, Hoong Chuin, LO, G.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2001
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Online Access:https://ink.library.smu.edu.sg/sis_research/1118
https://ink.library.smu.edu.sg/context/sis_research/article/2117/viewcontent/Multi_AgentFramework.pdf
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Institution: Singapore Management University
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spelling sg-smu-ink.sis_research-21172018-07-13T02:45:05Z A Multi-Agent Framework for Supporting Intelligent Fourth-Party Logistics LAU, Hoong Chuin LO, G. A distributed intelligent agent-based framework that supports fourth-party logistics optimization under a web-based e-Commerce environment has been proposed in this paper. In the framework, customer job requests come through an e-Procurement service. These requests are consolidated and pushed to the e-Market Place service periodically. The e-Market Place then serves as a broker that allows intelligent agents to bid to serve these requests optimally in real-time by solving multiple instances of underlying logistics optimization problem. The resulting system was implemented based on the Java 2 Enterprise Edition (J2EE) platform using distributed system technology for communication between objects. 2001-08-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/1118 https://ink.library.smu.edu.sg/context/sis_research/article/2117/viewcontent/Multi_AgentFramework.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Artificial Intelligence and Robotics Business Operations Research, Systems Engineering and Industrial Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Artificial Intelligence and Robotics
Business
Operations Research, Systems Engineering and Industrial Engineering
spellingShingle Artificial Intelligence and Robotics
Business
Operations Research, Systems Engineering and Industrial Engineering
LAU, Hoong Chuin
LO, G.
A Multi-Agent Framework for Supporting Intelligent Fourth-Party Logistics
description A distributed intelligent agent-based framework that supports fourth-party logistics optimization under a web-based e-Commerce environment has been proposed in this paper. In the framework, customer job requests come through an e-Procurement service. These requests are consolidated and pushed to the e-Market Place service periodically. The e-Market Place then serves as a broker that allows intelligent agents to bid to serve these requests optimally in real-time by solving multiple instances of underlying logistics optimization problem. The resulting system was implemented based on the Java 2 Enterprise Edition (J2EE) platform using distributed system technology for communication between objects.
format text
author LAU, Hoong Chuin
LO, G.
author_facet LAU, Hoong Chuin
LO, G.
author_sort LAU, Hoong Chuin
title A Multi-Agent Framework for Supporting Intelligent Fourth-Party Logistics
title_short A Multi-Agent Framework for Supporting Intelligent Fourth-Party Logistics
title_full A Multi-Agent Framework for Supporting Intelligent Fourth-Party Logistics
title_fullStr A Multi-Agent Framework for Supporting Intelligent Fourth-Party Logistics
title_full_unstemmed A Multi-Agent Framework for Supporting Intelligent Fourth-Party Logistics
title_sort multi-agent framework for supporting intelligent fourth-party logistics
publisher Institutional Knowledge at Singapore Management University
publishDate 2001
url https://ink.library.smu.edu.sg/sis_research/1118
https://ink.library.smu.edu.sg/context/sis_research/article/2117/viewcontent/Multi_AgentFramework.pdf
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