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A blockchain-based approach for a multi-echelon sustainable supply chain

Author

Listed:
  • V. K. Manupati
  • Tobias Schoenherr
  • M. Ramkumar
  • Stephan M. Wagner
  • Sai Krishna Pabba
  • R. Inder Raj Singh

Abstract

Blockchain technology is destined to revolutionise supply chain processes. At the same time, governmental and regulatory policies are forcing firms to adjust their supply chains in response to environmental concerns. The objective of this study is therefore to develop a distributed ledger-based blockchain approach for monitoring supply chain performance and optimising both emission levels and operational costs in a synchronised fashion, producing a better outcome for the supply chain. We propose the blockchain approach for different production allocation problems within a multi-echelon supply chain (MESC) under a carbon taxation policy. As such, we couple recent advances in digitalisation of operations with increasingly stringent regulatory environmental policies. Specifically, with lead time considerations under emission rate constraints (imposed by a carbon taxation policy), we simultaneously consider the production, distribution and inventory control decisions in a production allocation-based MESC problem. The problem is then formulated as a Mixed Integer Non-Linear Programming (MINLP) model. We show that the distributed ledger-based blockchain approach minimises both total cost and carbon emissions. We then validate the feasibility of the proposed approach by comparing the results with a non-dominated sorting genetic algorithm (NSGA-II). The findings provide support for policymakers and supply chain executives alike.

Suggested Citation

  • V. K. Manupati & Tobias Schoenherr & M. Ramkumar & Stephan M. Wagner & Sai Krishna Pabba & R. Inder Raj Singh, 2020. "A blockchain-based approach for a multi-echelon sustainable supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 58(7), pages 2222-2241, April.
    • Handle: RePEc:taf:tprsxx:v:58:y:2020:i:7:p:2222-2241
    DOI: 10.1080/00207543.2019.1683248
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    Cited by:

    1. Vincenzo Varriale & Antonello Cammarano & Francesca Michelino & Mauro Caputo, 2021. "Sustainable Supply Chains with Blockchain, IoT and RFID: A Simulation on Order Management," Sustainability, MDPI, vol. 13(11), pages 1-23, June.
    2. 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.
    3. Saxena, Neha & Sarkar, Biswajit, 2023. "How does the retailing industry decide the best replenishment strategy by utilizing technological support through blockchain?," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    4. 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.
    5. Dmitry Ivanov, 2022. "Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic," Annals of Operations Research, Springer, vol. 319(1), pages 1411-1431, December.
    6. Zhou, Yu & Yan, Shuangqi & Li, Gendao & Xiong, Yu & Lin, Zhibin, 2023. "The impact of consumer skepticism on blockchain-enabled sustainability disclosure in a supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    7. Amin Vafadarnikjoo & Hadi Badri Ahmadi & James J. H. Liou & Tiago Botelho & Konstantinos Chalvatzis, 2023. "Analyzing blockchain adoption barriers in manufacturing supply chains by the neutrosophic analytic hierarchy process," Annals of Operations Research, Springer, vol. 327(1), pages 129-156, August.
    8. Ali Ala & Morteza Yazdani & Mohsen Ahmadi & Aida Poorianasab & Mahdi Yousefi Nejad Attari, 2023. "An efficient healthcare chain design for resolving the patient scheduling problem: queuing theory and MILP-ASA optimization approach," Annals of Operations Research, Springer, vol. 328(1), pages 3-33, September.
    9. Bai, Chunguang & Sarkis, Joseph, 2022. "A critical review of formal analytical modeling for blockchain technology in production, operations, and supply chains: Harnessing progress for future potential," International Journal of Production Economics, Elsevier, vol. 250(C).
    10. Ashish Dwivedi & Dindayal Agrawal & Sanjoy Kumar Paul & Saurabh Pratap, 2023. "Modeling the blockchain readiness challenges for product recovery system," Annals of Operations Research, Springer, vol. 327(1), pages 493-537, August.
    11. Antonello Cammarano & Vincenzo Varriale & Francesca Michelino & Mauro Caputo, 2023. "Blockchain as enabling factor for implementing RFID and IoT technologies in VMI: a simulation on the Parmigiano Reggiano supply chain," Operations Management Research, Springer, vol. 16(2), pages 726-754, June.
    12. 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).
    13. Núñez-Merino, Miguel & Maqueira-Marín, Juan Manuel & Moyano-Fuentes, José & Castaño-Moraga, Carlos Alberto, 2022. "Industry 4.0 and supply chain. A Systematic Science Mapping analysis," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    14. Jaroslav Vrchota & Martin Pech & Ladislav Rolínek & Jiří Bednář, 2020. "Sustainability Outcomes of Green Processes in Relation to Industry 4.0 in Manufacturing: Systematic Review," Sustainability, MDPI, vol. 12(15), pages 1-47, July.
    15. Li, Nannan & Gu, Zhenjing & Albasher, Gadah & Alsultan, Nouf & Fatemah, Ambreen, 2023. "Nexus of financial management, blockchain, and natural resources: Comparing the impact on environmental sustainability and resource productivity," Resources Policy, Elsevier, vol. 83(C).
    16. Xiang Ning Zhu & Gabrielle Peko & David Sundaram & Selwyn Piramuthu, 2022. "Blockchain-Based Agile Supply Chain Framework with IoT," Information Systems Frontiers, Springer, vol. 24(2), pages 563-578, April.
    17. Vincenzo Varriale & Antonello Cammarano & Francesca Michelino & Mauro Caputo, 2020. "The Unknown Potential of Blockchain for Sustainable Supply Chains," Sustainability, MDPI, vol. 12(22), pages 1-16, November.
    18. Thomas Kitsantas, 2022. "Exploring Blockchain Technology and Enterprise Resource Planning System: Business and Technical Aspects, Current Problems, and Future Perspectives," Sustainability, MDPI, vol. 14(13), pages 1-17, June.
    19. Dwi Iryaning Handayani & Ilyas Masudin & Ahmad Rusdiansyah & Judi Suharsono, 2021. "Production-Distribution Model Considering Traceability and Carbon Emission: A Case Study of the Indonesian Canned Fish Food Industry," Logistics, MDPI, vol. 5(3), pages 1-21, September.
    20. Zhu, Qingyun & Bai, Chunguang & Sarkis, Joseph, 2022. "Blockchain technology and supply chains: The paradox of the atheoretical research discourse," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    21. Ahmad A. A. Khanfar & Mohammad Iranmanesh & Morteza Ghobakhloo & Madugoda Gunaratnege Senali & Masood Fathi, 2021. "Applications of Blockchain Technology in Sustainable Manufacturing and Supply Chain Management: A Systematic Review," Sustainability, MDPI, vol. 13(14), pages 1-20, July.
    22. Xiangyang Yu & Xiaojing Wang, 2023. "Research on Carbon-Trading Model of Urban Public Transport Based on Blockchain Technology," Energies, MDPI, vol. 16(6), pages 1-21, March.

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