Big data empowered logistics services platform

Cheikhrouhou, Naoufel (Haute école de gestion de Genève, HES-SO // Haute Ecole Spécialisée de Suisse Occidentale) ; de Vrieze, Paul (Faculty of Science and Technology, Bournemouth University, UK) ; Giovannetti, Emanuele (Lord Ashcroft International Business School, Anglia Ruskin University, UK) ; Liu, Shaofeng (Graduate School of Management/ Plymouth Business School, UK) ; Xie, Ying (Lord Ashcroft International Business School, Anglia Ruskin University, UK) ; Xu, Lai (Faculty of Science and Technology, Bournemouth University, UK) ; Yu, Hongnian (Faculty of Science and Technology, Bournemouth University, UK)

Logistics section is one of the most important industrial sections to contribute to European economy. To improving efficiency and energy efficient of logistics, European Commission call new research theme ‘smart, green and integrated transport’ in its H2020 program. The paper presents a version on providing a cloud based platform for supporting big data empowered logistics services to respond this call. The research is supported by inter-disciplinary approaches, which brings experts from telecommunication, cloud computing, sensor networking, service-oriented computing, data analysis, transportation, and logistics areas to work together to provide real-world solutions for future logistics. The research questions and challenges of the platform are highlighted. Overall architecture and data collection are presented.


Conference Type:
full paper
Faculty:
Economie et Services
School:
HEG GE Haute école de gestion de Genève
Institute:
CRAG - Centre de Recherche Appliquée en Gestion
Subject(s):
Economie/gestion
Publisher:
Cambridge, UK, 7th – 9th September 2016
Date:
Cambridge, UK
7th – 9th September 2016
2016
Pagination:
7 p.
Published in
27th European Regional Conference of the International Telecommunications Society
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 Record created 2016-10-03, last modified 2018-10-11

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