Case-based Modification for Optimization Agents: AGENT-OPT

For the effective implementation of an inter-organizational supply chain on the Web, many optimization model agents need to be embedded in the distributed software agents. For instance, many suppliers make requests to a delivery scheduler who manages a model warehouse at the e-hub. The scheduler dea...

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Main Authors: CHANG, Yong Sik, LEE, Jae Kyu
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Language:English
Published: Institutional Knowledge at Singapore Management University 2004
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Online Access:https://ink.library.smu.edu.sg/sis_research/1150
http://dx.doi.org/10.1016/S0167-9236(03)00026-5
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spelling sg-smu-ink.sis_research-21492010-12-22T08:24:06Z Case-based Modification for Optimization Agents: AGENT-OPT CHANG, Yong Sik LEE, Jae Kyu For the effective implementation of an inter-organizational supply chain on the Web, many optimization model agents need to be embedded in the distributed software agents. For instance, many suppliers make requests to a delivery scheduler who manages a model warehouse at the e-hub. The scheduler deals with the scheduling of many truckers and each trucker's agent must have its own routing optimization models. Since the formulations in the model warehouse vary depending upon the requirements, it is impossible to formulate all combinations in advance. Therefore, we need a case-based model modification scheme that can generate the required formulation from the semantically specified requirement in the agent communication language. This research deals with the issues of the architecture of an optimization model agent system AGENT-OPT, modeling request language in XML, optimization model representation in semantic-level objects using UNIK-OPT, a method of selecting a base model, an optimization model modification language (OMML), and rule-based modification reasoning. The approach is applied to the delivery scheduling to study the effect of base model selection policies on the modification effort. To determine whether to start with a primitive model, full model, or the most similar model, we experimented with the sensitivity of proximity to the primitive model on 24 cases and discovered the threshold for choosing the most efficient base model. 2004-01-01T08:00:00Z text https://ink.library.smu.edu.sg/sis_research/1150 info:doi/10.1016/S0167-9236(03)00026-5 http://dx.doi.org/10.1016/S0167-9236(03)00026-5 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Agent Case-based model formulation Optimization Delivery scheduling Supply chain Computer Sciences Management Information Systems
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Agent
Case-based model formulation
Optimization
Delivery scheduling
Supply chain
Computer Sciences
Management Information Systems
spellingShingle Agent
Case-based model formulation
Optimization
Delivery scheduling
Supply chain
Computer Sciences
Management Information Systems
CHANG, Yong Sik
LEE, Jae Kyu
Case-based Modification for Optimization Agents: AGENT-OPT
description For the effective implementation of an inter-organizational supply chain on the Web, many optimization model agents need to be embedded in the distributed software agents. For instance, many suppliers make requests to a delivery scheduler who manages a model warehouse at the e-hub. The scheduler deals with the scheduling of many truckers and each trucker's agent must have its own routing optimization models. Since the formulations in the model warehouse vary depending upon the requirements, it is impossible to formulate all combinations in advance. Therefore, we need a case-based model modification scheme that can generate the required formulation from the semantically specified requirement in the agent communication language. This research deals with the issues of the architecture of an optimization model agent system AGENT-OPT, modeling request language in XML, optimization model representation in semantic-level objects using UNIK-OPT, a method of selecting a base model, an optimization model modification language (OMML), and rule-based modification reasoning. The approach is applied to the delivery scheduling to study the effect of base model selection policies on the modification effort. To determine whether to start with a primitive model, full model, or the most similar model, we experimented with the sensitivity of proximity to the primitive model on 24 cases and discovered the threshold for choosing the most efficient base model.
format text
author CHANG, Yong Sik
LEE, Jae Kyu
author_facet CHANG, Yong Sik
LEE, Jae Kyu
author_sort CHANG, Yong Sik
title Case-based Modification for Optimization Agents: AGENT-OPT
title_short Case-based Modification for Optimization Agents: AGENT-OPT
title_full Case-based Modification for Optimization Agents: AGENT-OPT
title_fullStr Case-based Modification for Optimization Agents: AGENT-OPT
title_full_unstemmed Case-based Modification for Optimization Agents: AGENT-OPT
title_sort case-based modification for optimization agents: agent-opt
publisher Institutional Knowledge at Singapore Management University
publishDate 2004
url https://ink.library.smu.edu.sg/sis_research/1150
http://dx.doi.org/10.1016/S0167-9236(03)00026-5
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