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International Conference on Web Information Systems and Applications

WISA 2019: Web Information Systems and Applications pp 539–547Cite as

An Empirical Analysis of Supply Chain BPM Model Based on Blockchain and IoT Integrated System

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11817))

Abstract

Cross-organizational supply chain as a generic form of business process management has become a hot topic of research and application. Blockchain and IoT technology provide effective technical support for this business process model. However, the business process model design and analysis based on blockchain and IoT technology has the following problems and challenges: (1) Lack of targeted BPM model. (2) The analysis issue of the BPM model across organizational supply chains are not clear enough. This paper proposes a cross-organizational luxury supply chain BPM(Business Process Management) Model based on Internet of Things(IoT in short) and Blockchain integrated system, also gives the simulation design and simulation analyzing results of the BPM model. The simulation results show that the designed BPM model has no deadlock and is a model that can be used directly.

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Author information

Authors and Affiliations

  1. The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong

    Ruixue Zhao

Authors
  1. Ruixue Zhao
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Correspondence to Ruixue Zhao .

Editor information

Editors and Affiliations

  1. Southeast University, Nanjing, China

    Weiwei Ni

  2. Tianjin University, Tianjin, China

    Xin Wang

  3. Wuhan University, Wuhan, China

    Wei Song

  4. Tianjin University of Technology, Tianjin, China

    Yukun Li

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Cite this paper

Zhao, R. (2019). An Empirical Analysis of Supply Chain BPM Model Based on Blockchain and IoT Integrated System. In: Ni, W., Wang, X., Song, W., Li, Y. (eds) Web Information Systems and Applications. WISA 2019. Lecture Notes in Computer Science(), vol 11817. Springer, Cham. https://doi.org/10.1007/978-3-030-30952-7_54

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  • DOI: https://doi.org/10.1007/978-3-030-30952-7_54

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-30951-0

  • Online ISBN: 978-3-030-30952-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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