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Technical Sustainability of Cloud-Based Blockchain Integrated with Machine Learning for Supply Chain Management
| Content Provider | MDPI |
|---|---|
| Author | Wong, Simon Yeung, John-Kun-Woon Lau, Yui-Yip So, Joseph |
| Copyright Year | 2021 |
| Description | 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. |
| Starting Page | 8270 |
| e-ISSN | 20711050 |
| DOI | 10.3390/su13158270 |
| Journal | Sustainability |
| Issue Number | 15 |
| Volume Number | 13 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-07-23 |
| Access Restriction | Open |
| Subject Keyword | Sustainability Information and Library Science Technical Sustainability Cloud Infrastructure Blockchain Machine Learning Data Analytics Supply Chain |
| Content Type | Text |
| Resource Type | Article |
