Big data interoperability challenges for logistics

Prince Mayurank Singh, Marten J. van Sinderen

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    Abstract

    Analysis of real time information can be used to leverage logistic value chains and processes. It enables organizations to become more flexible and efficient. With the continued explosion of available data, challenges are aplenty for logistic companies on how to use such data for meaningful service improvements. Capturing, storing and analyzing such data, extracting useful information, are representative of big data challenges in the logistic value chain. In this paper, we elaborate on the uses of big data analytics for logistics and the related interoperability challenges for logistic companies.
    Original languageUndefined
    Title of host publicationEnterprise Interoperability in the Digitized and Networked Factory of the Future
    EditorsMartin Zelm, Guy Doumeingts, Joao Pedro Mendonca
    Place of PublicationUK
    PublisherInternational Society for Technology in Education
    Pages325-335
    Number of pages11
    ISBN (Print)9781847040442
    Publication statusPublished - Mar 2016
    EventEnterprise Interoperability in the Digitized and Networked Factory of the Future - Guimaraes, Portugal
    Duration: 29 Mar 201630 Mar 2016

    Publication series

    Name
    PublisherISTE Press

    Workshop

    WorkshopEnterprise Interoperability in the Digitized and Networked Factory of the Future
    Period29/03/1630/03/16
    Other29-30 Mar 2016

    Keywords

    • SCS-Services
    • EWI-27321
    • Big data
    • IR-102590
    • Logistics
    • METIS-319464
    • Interoperability

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