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Optimization/simulation in the supply chain context: a review

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Published:02 May 2018Publication History

ABSTRACT

In an increasingly competitive environment, companies are led to develop their competitiveness, a development that requires the efficient management of the supply chain. Supply chain optimization has become a major challenge. Despite the Information Technologies Solutions (ITS) available, decisions about how to plan a company's supply chain still hard to make. This is due to the complexity of problems in a logistics network and to their stochastic aspect. Therefore, combined Simulation/Optimization techniques were widely used to cope with this stochasticity.

This paper is a preliminary attempt to review some applications of optimization simulation in a supply chain context, state of art various algorithms and simulation tools used in this field.

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  • Published in

    cover image ACM Other conferences
    LOPAL '18: Proceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications
    May 2018
    357 pages
    ISBN:9781450353045
    DOI:10.1145/3230905

    Copyright © 2018 ACM

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    Publication History

    • Published: 2 May 2018

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    Acceptance Rates

    LOPAL '18 Paper Acceptance Rate61of141submissions,43%Overall Acceptance Rate61of141submissions,43%

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