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Cloud Enabled Big Data Business Platform for Logistics Services: A Research and Development Agenda

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Decision Support Systems V – Big Data Analytics for Decision Making (ICDSST 2015)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 216))

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Abstract

This paper explores the support provided by big data systems developed in the cloud for empowering modern logistics services through fostering synergies among 3/4PL (third /fourth party logistics) in order to establish interoperable or highly integrated and sustainable logistics supply chain services. However, big data applications could have limited capabilities of providing performant logistics services without addressing the quality and accuracy of data. The main outcome of the paper is the definition of an architectural framework and associated research and development agenda for the application of cloud computing for the development and deployment of a Big Data Logistics Business Platform (BDLBP) for supply chain network management services. The capabilities embedded in the BDLBP can provide powerful decision support to logistics networking and stakeholders. Two of the three strategic and operational capabilities as operational capacity planning, and real-time route optimisation are built upon literature based on operational research, and are extended to the scope of dynamic and uncertain situations. The third capability, strategic logistics network planning is currently under researched and this approach aims at covering this capability supported by big data analytics in the cloud.

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Author information

Authors and Affiliations

  1. Graduate School of Management, Plymouth University, Plymouth, UK

    Irina Neaga, Shaofeng Liu & Huilan Chen

  2. Bournemouth University, Bournemouth, UK

    Lai Xu

  3. University of Vaasa, Vaasa, Finland

    Yuqiuge Hao

Authors
  1. Irina Neaga
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  2. Shaofeng Liu
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  3. Lai Xu
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  4. Huilan Chen
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  5. Yuqiuge Hao
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Corresponding author

Correspondence to Irina Neaga .

Editor information

Editors and Affiliations

  1. University of Belgrade, Belgrade, Serbia

    Boris Delibašić

  2. University of Liverpool, Liverpool, United Kingdom

    Jorge E. Hernández

  3. University of Macedonia, Thessaloniki, Greece

    Jason Papathanasiou

  4. SimTech Simulation Technology, Graz, Austria

    Fátima Dargam

  5. Toulouse 1 Capitole University, Toulouse, France

    Pascale Zaraté

  6. UNINOVA – CA3, Lisbon, Portugal

    Rita Ribeiro

  7. University of Plymouth, Plymouth, United Kingdom

    Shaofeng Liu

  8. University of Namur, Namur, Belgium

    Isabelle Linden

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Neaga, I., Liu, S., Xu, L., Chen, H., Hao, Y. (2015). Cloud Enabled Big Data Business Platform for Logistics Services: A Research and Development Agenda. In: Delibašić, B., et al. Decision Support Systems V – Big Data Analytics for Decision Making. ICDSST 2015. Lecture Notes in Business Information Processing, vol 216. Springer, Cham. https://doi.org/10.1007/978-3-319-18533-0_3

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  • DOI: https://doi.org/10.1007/978-3-319-18533-0_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18532-3

  • Online ISBN: 978-3-319-18533-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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