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Conference Papers Year : 2018

Big Data Analytics for Logistics and Distributions Using Blockchain

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Elisângela Moraes
  • Function : Author
  • PersonId : 1050369
Rodrigo Franco Gonçalves
  • Function : Author
  • PersonId : 1050370

Abstract

The volume of data generated is increasing. Companies capture large amounts of bytes of information about customers, vendors, products, sensory components, and especially their manufacturing operations. However, important problems, such as the Supply Chain Management processes, present difficulties regarding the security, integrity and validity of information generated in different databases. Blockchain technology presents itself as a disruptive process control technology where, through Smart Contracts, it provides transaction reliability and assures the parties involved that its purpose is strictly adhered to. Meanwhile, Big Data is offered as a solution to analyze all the information originated from the operations generated. In this article, as a contribution, possibilities of information generation will be presented, with the interaction of Blockchain, Cyber Physical Systems, Internet of Things technologies in function of the Supply Chain Management processes, so that they can later be analyzed through Big Data, giving users better controls and decision management in favor of improving their business.
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Dates and versions

hal-02177882 , version 1 (09-07-2019)

Licence

Attribution - CC BY 4.0

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Cite

Benedito Cristiano A. Petroni, Elisângela Moraes, Rodrigo Franco Gonçalves. Big Data Analytics for Logistics and Distributions Using Blockchain. IFIP International Conference on Advances in Production Management Systems (APMS), Aug 2018, Seoul, South Korea. pp.363-369, ⟨10.1007/978-3-319-99707-0_45⟩. ⟨hal-02177882⟩
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