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Cloud enabled big data business platform for logistics services: A research and development agenda.

Neaga, I, Liu, S, Xu, L, Chen, H and Hao, Y, 2015. Cloud enabled big data business platform for logistics services: A research and development agenda. In: ICDSST 2015: Decision Support Systems V – Big Data Analytics for Decision Making, 27-29 May 2015, Belgrade, Serbia, 22-33.

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DOI: 10.1007/978-3-319-18533-0_3


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.

Item Type:Conference or Workshop Item (Paper)
Group:Faculty of Science & Technology
ID Code:37198
Deposited By: Symplectic RT2
Deposited On:20 Jul 2022 12:26
Last Modified:20 Jul 2022 12:26


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