In emergency logistics, it is important to allocate available assets to operations effectively due to the resource scarcity. This paper considers a supply chain network which includes local and global suppliers of medical relief items, regional and central distribution centers, and many customer demand points. Either pre-positioned resources at distribution centers or new assembly operations at them can fulfill resources demands. Moreover, a capacitated multi-stage operations scheduling problem is presented, in which renewable (medical teams) as well as non-renewable resources (standard or customized medical kits) are required in an emergency supply chain. In addition, a new mixed-integer programming model is presented and solved for small-sized problems. Further, for solving large-sized problems, a particle swarm optimization algorithm is developed. Finally, the performance of the proposed solution method is evaluated, and some sensitivity analyses are conducted on the more important parameters.


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    Titel :

    Emergency supply chain scheduling problem with multiple resources in disaster relief operations


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    2020-01-01


    Format / Umfang :

    27 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




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