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Big data interoperability challenges for logistics

By Prince M. Singh and Marten van Sinderen

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

Publisher: ISTE Press
Year: 2016
OAI identifier: oai:doc.utwente.nl:102590
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