Technical Sustainability of Cloud-Based Blockchain Integrated with Machine Learning for Supply Chain Management

【Author】 Wong, Simon; Yeung, John-Kun-Woon; Lau, Yui-Yip; So, Joseph

【Source】SUSTAINABILITY

【影响因子】3.889

【Abstract】Knowing the challenges of keeping and manipulating more and more immutable transaction records in a blockchain network of various supply chain parties and the opportunities of leveraging sophisticated analyses on the big data generated from these records, design of a robust blockchain architecture based on a cloud infrastructure is proposed. This paper presents this technical design with consideration of the technical sustainability in terms of scalability and big data processing and analytics. A case study was used to illustrate how the technical sustainability is achieved by applying the proposed technical design to the real-time detection of the maritime risk management. This case also illustrates how machine learning mechanism helps to reduce maritime risk by guiding a cargo ship to adjust to the planned or safe route from a detour to a danger zone. This paper also discusses the implications for further research direction.

【Keywords】technical sustainability; cloud infrastructure; blockchain; machine learning; data analytics; supply chain

【发表时间】2021 AUG

【收录时间】2022-01-02

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