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    A decision support system for grain harvesting, storage, and distribution logistics[Formula presented]

    Access Status
    In process
    Authors
    Mardaneh, Elham
    Loxton, Ryan
    Meka, S.
    Gamble, L.
    Date
    2021
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Mardaneh, E. and Loxton, R. and Meka, S. and Gamble, L. 2021. A decision support system for grain harvesting, storage, and distribution logistics[Formula presented]. Knowledge-Based Systems. 223: ARTN 107037.
    Source Title
    Knowledge-Based Systems
    DOI
    10.1016/j.knosys.2021.107037
    ISSN
    0950-7051
    Faculty
    Faculty of Science and Engineering
    Faculty of Science and Engineering
    School
    School of Elec Eng, Comp and Math Sci (EECMS)
    School of Elec Eng, Comp and Math Sci (EECMS)
    URI
    http://hdl.handle.net/20.500.11937/89494
    Collection
    • Curtin Research Publications
    Abstract

    This paper presents a decision support system to help farmers compare different grain harvesting and distribution strategies—for example, whether to store grain on farm or use bulk storage facilities located away from the farm. The system is underpinned by a discrete-time mathematical model that incorporates features such as multiple crops, moisture management, yield loss, quality downgrades due to adverse weather events, and quality optimization through blending. The output variables from the mathematical model include the total yield of each crop, the duration required to complete the harvest, and the transport and storage costs. The model is validated via test simulations using data that reflects typical farming scenarios in Western Australia. The results show that with on-farm storage, harvest duration and yield losses decrease and the total yield increases, leading to more profit for farmers.

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