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.
|Title of host publication||Enterprise Interoperability in the Digitized and Networked Factory of the Future|
|Editors||Martin Zelm, Guy Doumeingts, Joao Pedro Mendonca|
|Place of Publication||UK|
|Publisher||International Society for Technology in Education|
|Number of pages||11|
|Publication status||Published - Mar 2016|
- Big data
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.