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

Author

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  • Simon Wong

    (Division of Science, Engineering and Health Studies, College of Professional and Continuing Education, The Hong Kong Polytechnic University, Hong Kong, China)

  • John-Kun-Woon Yeung

    (Data Science Academy, Hong Kong, China)

  • Yui-Yip Lau

    (Division of Business and Hospitality Management, College of Professional and Continuing Education, The Hong Kong Polytechnic University, Hong Kong, China)

  • Joseph So

    (Division of Science, Engineering and Health Studies, College of Professional and Continuing Education, The Hong Kong Polytechnic University, Hong Kong, China)

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.

Suggested Citation

  • Simon Wong & John-Kun-Woon Yeung & Yui-Yip Lau & Joseph So, 2021. "Technical Sustainability of Cloud-Based Blockchain Integrated with Machine Learning for Supply Chain Management," Sustainability, MDPI, vol. 13(15), pages 1-20, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:15:p:8270-:d:600411
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    References listed on IDEAS

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    Cited by:

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    2. Manupati, V.K. & Schoenherr, Tobias & Ramkumar, M. & Panigrahi, Suraj & Sharma, Yash & Mishra, Prakriti, 2022. "Recovery strategies for a disrupted supply chain network: Leveraging blockchain technology in pre- and post-disruption scenarios," International Journal of Production Economics, Elsevier, vol. 245(C).
    3. Vincent Charles & Ali Emrouznejad & Tatiana Gherman, 2023. "A critical analysis of the integration of blockchain and artificial intelligence for supply chain," Annals of Operations Research, Springer, vol. 327(1), pages 7-47, August.
    4. Swikriti Khadke & Pragya Gupta & Shanmukh Rachakunta & Chandreswar Mahata & Suma Dawn & Mohit Sharma & Deepak Verma & Aniruddha Pradhan & Ambati Mounika Sai Krishna & Seeram Ramakrishna & Sabyasachi C, 2021. "Efficient Plastic Recycling and Remolding Circular Economy Using the Technology of Trust–Blockchain," Sustainability, MDPI, vol. 13(16), pages 1-15, August.
    5. Rameez Asif & Syed Raheel Hassan & Gerard Parr, 2023. "Integrating a Blockchain-Based Governance Framework for Responsible AI," Future Internet, MDPI, vol. 15(3), pages 1-21, February.
    6. Muen Uddin & Shitharth Selvarajan & Muath Obaidat & Shams Ul Arfeen & Alaa O. Khadidos & Adil O. Khadidos & Maha Abdelhaq, 2023. "From Hype to Reality: Unveiling the Promises, Challenges and Opportunities of Blockchain in Supply Chain Systems," Sustainability, MDPI, vol. 15(16), pages 1-24, August.

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