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    Robust optimisation model for the cold food chain logistics problem under uncertainty

    Access Status
    Fulltext not available
    Authors
    Behzadi, Golnar
    Sundarakani, Balan
    Mardaneh, Elham
    Date
    2013
    Type
    Journal Article
    
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    Citation
    Behzadi, Golnar and Sundarakani, Balan and Mardaneh, Elham. 2013. Robust optimisation model for the cold food chain logistics problem under uncertainty. International Journal of Logistics Economics and Globalisation. 5 (3): pp. 167-179.
    Source Title
    International Journal of Logistics Economics and Globalisation
    DOI
    10.1504/IJLEG.2013.058821
    ISSN
    1741-5373
    URI
    http://hdl.handle.net/20.500.11937/48338
    Collection
    • Curtin Research Publications
    Abstract

    In the last two decades, food safety has become one of the main concerns in the area of logistics and supply chain management and also in cold chain. Safety is a critically sensitive area in this category as if the required safety conditions are not satisfied during the logistics process, foods will soon deteriorate and probably become unsafe to use by customers. Thus, the problem of cold food safety has encouraged serious attentions among the logistics practitioners. However, because of the complexity in nature of such problems, research so far is limited to the quantitative models with deterministic parameters and the robustness of this nature still remains unanswered. In this paper, a robust optimisation model has been developed aiming to maximise the food safety aspects and thus to minimise the logistics cost of the cold chain system under various uncertainties and customers time windows restrictions. The model has been solved by artificial bee colony intelligence algorithm through MATLAB 8 software. Finally, the results are analysed for possible real world considerations in order to propose some key practical highlights.

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