Big data interoperability challenges for logistics

Prince Mayurank Singh, Marten J. van Sinderen

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    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
    Number of pages11
    ISBN (Print)9781847040442
    Publication statusPublished - Mar 2016

    Publication series

    PublisherISTE Press


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

    Cite this

    Singh, P. M., & van Sinderen, M. J. (2016). Big data interoperability challenges for logistics. In M. Zelm, G. Doumeingts, & J. P. Mendonca (Eds.), Enterprise Interoperability in the Digitized and Networked Factory of the Future (pp. 325-335). UK: International Society for Technology in Education.