Big data interoperability challenges for logistics

P.M. Singh, Marten 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 languageEnglish
Title of host publicationEnterprise interoperability in the digitized and networked factory of the future
EditorsMartin Zelm, Guy Doumeingts, Joao Pedro Mendonca
PublisherISTE Press
Pages325-335
Number of pages11
ISBN (Print)9781847040442
Publication statusPublished - 2016
Externally publishedYes
Event8th International Conference on Enterprise Interoperability (I-ESA 16), Workshop C2 (Big Data Interoperability for Enterprises) - University de Minho, Guimaraes, Portugal
Duration: 29 Mar 201630 Mar 2016

Conference

Conference8th International Conference on Enterprise Interoperability (I-ESA 16), Workshop C2 (Big Data Interoperability for Enterprises)
CountryPortugal
CityGuimaraes
Period29/03/1630/03/16

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