Big data interoperability challenges for logistics

Prince Mayurank Singh; Marten J. van Sinderen

Big data interoperability challenges for logistics

Prince Mayurank Singh
, Marten J. van Sinderen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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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 language	English
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
Pages	325-335
Number of pages	11
ISBN (Print)	9781847040442
Publication status	Published - Mar 2016
Event	7th I-ESA 2016 - Portugal, Guimaraes, Portugal Duration: 29 Mar 2016 → 30 Mar 2016 Conference number: 7

Publication series

Name
Publisher	ISTE Press

Workshop

Workshop	7th I-ESA 2016
Country/Territory	Portugal
City	Guimaraes
Period	29/03/16 → 30/03/16

Keywords

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

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Cite this

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title = "Big data interoperability challenges for logistics",

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.",

keywords = "SCS-Services, EWI-27321, Big data, IR-102590, Logistics, METIS-319464, Interoperability",

author = "Singh, \{Prince Mayurank\} and \{van Sinderen\}, \{Marten J.\}",

note = "eemcs-eprint-27321 ; 7th I-ESA 2016 ; Conference date: 29-03-2016 Through 30-03-2016",

year = "2016",

month = mar,

language = "English",

isbn = "9781847040442",

publisher = "International Society for Technology in Education",

pages = "325--335",

editor = "Martin Zelm and Guy Doumeingts and Mendonca, \{Joao Pedro\}",

booktitle = "Enterprise Interoperability in the Digitized and Networked Factory of the Future",

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Big data interoperability challenges for logistics. / Singh, Prince Mayurank; van Sinderen, Marten J.
Enterprise Interoperability in the Digitized and Networked Factory of the Future. ed. / Martin Zelm; Guy Doumeingts; Joao Pedro Mendonca. UK: International Society for Technology in Education, 2016. p. 325-335.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Big data interoperability challenges for logistics

AU - Singh, Prince Mayurank

AU - van Sinderen, Marten J.

N1 - Conference code: 7

PY - 2016/3

Y1 - 2016/3

N2 - 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.

AB - 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.

KW - SCS-Services

KW - EWI-27321

KW - Big data

KW - IR-102590

KW - Logistics

KW - METIS-319464

KW - Interoperability

M3 - Conference contribution

SN - 9781847040442

SP - 325

EP - 335

BT - Enterprise Interoperability in the Digitized and Networked Factory of the Future

A2 - Zelm, Martin

A2 - Doumeingts, Guy

A2 - Mendonca, Joao Pedro

PB - International Society for Technology in Education

CY - UK

T2 - 7th I-ESA 2016

Y2 - 29 March 2016 through 30 March 2016

ER -

Big data interoperability challenges for logistics

Abstract

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Workshop

Keywords

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