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Optimal supply chain formation using agent negotiation in a SET model-based make-to-order

Published: 13 August 2006 Publication History

Abstract

In an effort to composite an optimal supply chain, this study has introduced an agent-based negotiation model as a method for assigning a lot of orders to a large number of participants. As a resources allocation mechanism to form strategic cooperation based on information sharing between supply chain members, this agent negotiation model provides such functions as bidding, scheduling, and coordination, allowing all participants to make a profit, and accomplishing a Pareto-optimum solution from the viewpoint of the whole supply chain. SET model-based scheduling takes into consideration both early (earliness) production costs and late (tardiness) production costs, along with the competitive relationship between multiple participants. This study has tried to prove that the result of an agent-based negotiation is a Pareto optimal solution under a dynamic supply chain environment, establishing the mathematical formulation for a performance test, and making a comparison with the heuristic Branch & Bound method.

Cited By

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  • (2014)Mediating Dynamic Supply Chain Formation by Collaborative Single Machine Earliness/Tardiness Agents in Supply MeshMathematical Problems in Engineering10.1155/2014/5358902014:1Online publication date: 16-Feb-2014
  • (2013)Optimizing dynamic supply chain formation in supply mesh using CSET modelInformation Systems Frontiers10.1007/s10796-012-9380-y15:4(569-588)Online publication date: 1-Sep-2013
  • (2008)Agent system for online ticket resaleProceedings of the 2nd KES International conference on Agent and multi-agent systems: technologies and applications10.5555/1787839.1787910(614-623)Online publication date: 26-Mar-2008
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  1. Optimal supply chain formation using agent negotiation in a SET model-based make-to-order

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    Published In

    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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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 13 August 2006

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    Author Tags

    1. agent negotiation
    2. allocation problem
    3. dynamic supply chain

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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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    Cited By

    View all
    • (2014)Mediating Dynamic Supply Chain Formation by Collaborative Single Machine Earliness/Tardiness Agents in Supply MeshMathematical Problems in Engineering10.1155/2014/5358902014:1Online publication date: 16-Feb-2014
    • (2013)Optimizing dynamic supply chain formation in supply mesh using CSET modelInformation Systems Frontiers10.1007/s10796-012-9380-y15:4(569-588)Online publication date: 1-Sep-2013
    • (2008)Agent system for online ticket resaleProceedings of the 2nd KES International conference on Agent and multi-agent systems: technologies and applications10.5555/1787839.1787910(614-623)Online publication date: 26-Mar-2008
    • (2008)Double-agent architecture for collaborative supply chain formationProceedings of the 10th International Conference on Information Integration and Web-based Applications & Services10.1145/1497308.1497383(411-416)Online publication date: 24-Nov-2008

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