The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
A blockchain-based approach for a multi-echelon sustainable supply chain
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.
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Citations
Cites
Blockchain technology and its relationships to sustainable supply chain management
Saberi, S., Kouhizadeh, M., Sarkis, J., & Shen, L. (2019) · International Journal of Production Research · doi:10.1080/00207543.2018.1533261 · Cited by 4,118
Ivanov, D., Dolgui, A., & Sokolov, B. (2019) · International Journal of Production Research · doi:10.1080/00207543.2018.1488086 · Cited by 2,055
Carbon Footprint and the Management of Supply Chains: Insights From Simple Models
Benjaafar, S., Li, Y., & Daskin, M. (2013) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2012.2203304 · Cited by 1,288
Queiroz, M. M., & Fosso Wamba, S. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.11.021 · Cited by 1,079
Kamble, S. S., Gunasekaran, A., & Gawankar, S. A. (2020) · International Journal of Production Economics · doi:10.1016/j.ijpe.2019.05.022 · Cited by 1,015
Blockchain technology: implications for operations and supply chain management
Cole, R., Stevenson, M., & Aitken, J. (2019) · Supply Chain Management: An International Journal · doi:10.1108/scm-09-2018-0309 · Cited by 958
Future challenges on the use of blockchain for food traceability analysis
Galvez, J. F., Mejuto, J. C., & Simal-Gandara, J. (2018) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2018.08.011 · Cited by 921
Design of sustainable supply chains under the emission trading scheme
Chaabane, A., Ramudhin, A., & Paquet, M. (2012) · International Journal of Production Economics · doi:10.1016/j.ijpe.2010.10.025 · Cited by 813
Managing carbon footprints in inventory management
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Structural drivers of upstream supply chain complexity and the frequency of supply chain disruptions
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Self-citation
Cited by
Dutta, P., Choi, T.-M., Somani, S., & Butala, R. (2020) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2020.102067 · Cited by 1,545
Reconfigurable supply chain: the X-network
Dolgui, A., Ivanov, D., & Sokolov, B. (2020) · International Journal of Production Research · doi:10.1080/00207543.2020.1774679 · Cited by 501
Parmentola, A., Petrillo, A., Tutore, I., & De Felice, F. (2022) · Business Strategy and the Environment · doi:10.1002/bse.2882 · Cited by 429
Ferreira, J. J., Lopes, J. M., Gomes, S., & Rammal, H. G. (2023) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2023.136841 · Cited by 167
Fosso Wamba, S., Queiroz, M. M., Wu, L., & Sivarajah, U. (2024) · Annals of Operations Research · doi:10.1007/s10479-020-03812-4 · Cited by 143
Metadata
- Authors
- Manupati, V. K., Schoenherr, T., Ramkumar, M., Wagner, S. M., Pabba, S. K., & Inder Raj Singh, R.
- Venue
- International Journal of Production Research
- Publisher
- Informa UK Limited
- Published
- 2019-11-01
- Volume
- 58
- Issue
- 7
- Pages
- 2222-2241
- ISSN
- 0020-7543 (ISSN-L)
- 1366-588X
- OpenAlex
- W2983296812
- Cited by
- 341
- References
- 42
- FWCI
- 54.86
- Type
- journal article
- Language
- en
- Open access
- closed
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- Manupati, V. K., Schoenherr, T., Ramkumar, M., Wagner, S. M., Pabba, S. K., & Inder Raj Singh, R. (2020). A blockchain-based approach for a multi-echelon sustainable supply chain. International Journal of Production Research. https://doi.org/10.1080/00207543.2019.1683248
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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