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A sustainable production capability evaluation mechanism based on blockchain, LSTM, analytic hierarchy process for supply chain network

Author

Listed:
  • Zhi Li
  • Hanyang Guo
  • Ali Vatankhah Barenji
  • W. M. Wang
  • Yijiang Guan
  • George Q. Huang

Abstract

Due to the rapid development of information technology, supply chain network is evolving, which involves a higher level of interdependence between organisations. Conventional production capability evaluation relies on centralised approaches with limited sharing of performance and evaluation data. Besides, traditional evaluation methods are mainly based on subjective manual operation using limited data. In this paper, we propose a production capability evaluation system by incorporating Internet of Things (IoT), machine learning and blockchain technology for supply chain network. It contributes to achieving real-time data collection and automated enterprise production capability evaluation mechanism. Besides, blockchain technology is adopted to enable open and decentralised data storage and sharing, provide fair and automatic trading of data. The proposed system is evaluated through a simulation experiment. It demonstrated how to utilise the proposed system to choose suitable upstream enterprises. The successful development of the system could help to enhance production efficiency, reduce risk and provide a reasonable and more sustainable production management in supply chain network.

Suggested Citation

  • Zhi Li & Hanyang Guo & Ali Vatankhah Barenji & W. M. Wang & Yijiang Guan & George Q. Huang, 2020. "A sustainable production capability evaluation mechanism based on blockchain, LSTM, analytic hierarchy process for supply chain network," International Journal of Production Research, Taylor & Francis Journals, vol. 58(24), pages 7399-7419, December.
    • Handle: RePEc:taf:tprsxx:v:58:y:2020:i:24:p:7399-7419
    DOI: 10.1080/00207543.2020.1740342
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    Cited by:

    1. Abderahman Rejeb & Karim Rejeb & Steve Simske & Horst Treiblmaier, 2021. "Blockchain Technologies in Logistics and Supply Chain Management: A Bibliometric Review," Logistics, MDPI, vol. 5(4), pages 1-28, October.
    2. 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.
    3. Minyi Xu & Shujian Ma & Gang Wang, 2022. "Differential Game Model of Information Sharing among Supply Chain Finance Based on Blockchain Technology," Sustainability, MDPI, vol. 14(12), pages 1-21, June.
    4. Simonetto, Marco & Sgarbossa, Fabio & Battini, Daria & Govindan, Kannan, 2022. "Closed loop supply chains 4.0: From risks to benefits through advanced technologies. A literature review and research agenda," International Journal of Production Economics, Elsevier, vol. 253(C).
    5. Muhammad Nazam & Muhammad Hashim & Florian Marcel Nută & Liming Yao & Muhammad Azam Zia & Muhammad Yousaf Malik & Muhammad Usman & Levente Dimen, 2022. "Devising a Mechanism for Analyzing the Barriers of Blockchain Adoption in the Textile Supply Chain: A Sustainable Business Perspective," Sustainability, MDPI, vol. 14(23), pages 1-31, December.
    6. Xu, Xiaoping & Yan, Luling & Choi, Tsan-Ming & Cheng, T.C.E., 2023. "When Is It Wise to Use Blockchain for Platform Operations with Remanufacturing?," European Journal of Operational Research, Elsevier, vol. 309(3), pages 1073-1090.
    7. Arim Park & Huan Li, 2021. "The Effect of Blockchain Technology on Supply Chain Sustainability Performances," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
    8. Choi, Tsan-Ming & Siqin, Tana, 2022. "Blockchain in logistics and production from Blockchain 1.0 to Blockchain 5.0: An intra-inter-organizational framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    9. Ulpan Tokkozhina & Ana Lucia Martins & Joao C. Ferreira, 2023. "Uncovering dimensions of the impact of blockchain technology in supply chain management," Operations Management Research, Springer, vol. 16(1), pages 99-125, March.
    10. Qingyu Zhang & Salman Khan & Safeer Ullah Khan & Ikram Ullah Khan, 2023. "Understanding Blockchain Technology Adoption in Operation and Supply Chain Management of Pakistan: Extending UTAUT Model With Technology Readiness, Technology Affinity and Trust," SAGE Open, , vol. 13(4), pages 21582440231, October.
    11. Leng, Jiewu & Ruan, Guolei & Jiang, Pingyu & Xu, Kailin & Liu, Qiang & Zhou, Xueliang & Liu, Chao, 2020. "Blockchain-empowered sustainable manufacturing and product lifecycle management in industry 4.0: A survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    12. Jacob Lohmer & Elias Ribeiro da Silva & Rainer Lasch, 2022. "Blockchain Technology in Operations & Supply Chain Management: A Content Analysis," Sustainability, MDPI, vol. 14(10), pages 1-88, May.
    13. Satish Kumar & Weng Marc Lim & Uthayasankar Sivarajah & Jaspreet Kaur, 2023. "Artificial Intelligence and Blockchain Integration in Business: Trends from a Bibliometric-Content Analysis," Information Systems Frontiers, Springer, vol. 25(2), pages 871-896, April.
    14. Zhi Li & Fuhe Liang & Henan Hu, 2023. "Blockchain-Based and Value-Driven Enterprise Data Governance: A Collaborative Framework," Sustainability, MDPI, vol. 15(11), pages 1-15, May.
    15. Brylowski, Martin & Schröder, Meike & Lodemann, Sebastian & Kersten, Wolfgang, 2021. "Machine learning in supply chain management: A scoping review," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Ringle, Christian M. & Blecker, Thorsten (ed.), Adapting to the Future: How Digitalization Shapes Sustainable Logistics and Resilient Supply Chain Management. Proceedings of the Hamburg Internationa, volume 31, pages 377-406, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.

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