Robust Agricultural Supply Chain Management with Various Random and Fuzzy Parameters

Takashi Hasuike, Tomoko Kashima, Shimpei Matsumoto

    研究成果: Conference contribution

    1 被引用数 (Scopus)

    抄録

    This paper proposes a robust model of multiperiod agricultural supply chain to consider both maximizing the total profit and minimizing the environmental load with random and fuzzy parameters. Our proposed model is formulated as a fuzzy and stochastic, multiobjective and multiperiod programming problem, and hence, it is hard to solve the formulated problem directly without setting a specific random distribution and a specific membership function. Therefore, a distribution-free approach based on sample mean and variance derived from received data, which does not assume any specific random distributions and membership functions, is introduced to apply our proposed model to various uncertain conditions. In addition, deterministic equivalent transformations are also introduced to obtain the optimal solution efficiently using the scenario-based approach.

    本文言語English
    ホスト出版物のタイトルProceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ11-16
    ページ数6
    ISBN(電子版)9781538606216
    DOI
    出版ステータスPublished - 2017 11 15
    イベント6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017 - Hamamatsu, Shizuoka, Japan
    継続期間: 2017 7 9 → …

    Other

    Other6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017
    国/地域Japan
    CityHamamatsu, Shizuoka
    Period17/7/9 → …

    ASJC Scopus subject areas

    • 人工知能
    • コンピュータ ネットワークおよび通信
    • コンピュータ サイエンスの応用
    • 情報システム
    • 情報システムおよび情報管理

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