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A framework for managing optimization models for supply chain software agents

Published: 13 August 2006 Publication History

Abstract

As third party logistic services become popular, the role of software agents increases in importance in terms of the logistics scheduling of buyers and sellers. To support many models in such a portal site focused on logistics, automatic formulation and modification of optimization models embedded in the multiple software agents is necessary. The stakeholders like manufacturers and third party deliverers have their objectives and constraints in terms of delivery requirements and resource limitations. Since a variety of situations require many combinations of models, it is not easy to prepare all the necessary models in advance. To resolve this issue, we propose the primitive model approach which identifies a base model first and then modifies it to meet the modeling requirements. A prototype architecture AGENT-OPT2 is designed with the capability of rule-based model modification. This framework is demonstrated with the cooperative delivery scheduling problems.

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    cover image ACM Other conferences
    ICEC '06: Proceedings of the 8th international conference on Electronic commerce: The new e-commerce: innovations for conquering current barriers, obstacles and limitations to conducting successful business on the internet
    August 2006
    624 pages
    ISBN:1595933921
    DOI:10.1145/1151454
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 13 August 2006

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    Author Tags

    1. optimization agents
    2. optimization models
    3. supply chain management

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    ICEC '06 Paper Acceptance Rate 53 of 112 submissions, 47%;
    Overall Acceptance Rate 150 of 244 submissions, 61%

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