The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
A multi-agent based framework for supply chain risk management
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Citations
Cites
Intelligent agents: theory and practice
Wooldridge, M., & Jennings, N. R. (1995) · The Knowledge Engineering Review · doi:10.1017/s0269888900008122 · Cited by 6,810
Managing Disruption Risks in Supply Chains
Kleindorfer, P. R., & Saad, G. H. (2005) · Production and Operations Management · doi:10.1111/j.1937-5956.2005.tb00009.x · Cited by 2,088
Managing Risk To Avoid Supply-Chain Breakdown
Chopra, S., & Sodhi, M. S. (2004) · MIT Sloan Management Review · Cited by 1,859
Supply chain design and analysis:
Beamon, B. M. (1998) · International Journal of Production Economics · doi:10.1016/s0925-5273(98)00079-6 · Cited by 1,841
Robust strategies for mitigating supply chain disruptions
Tang, C. S. (2006) · International Journal of Logistics Research and Applications · doi:10.1080/13675560500405584 · Cited by 1,336
Global supply chain risk management strategies
Manuj, I., & Mentzer, J. T. (2008) · International Journal of Physical Distribution & Logistics Management · doi:10.1108/09600030810866986 · Cited by 1,252
Multiagent systems: A survey from a machine learning perspective
Stone, P., & Veloso, M. (2000) · Autonomous Robots · doi:10.1023/a:1008942012299 · Cited by 1,218
Genesereth, M. R., & Ketchpel, S. P. (1994) · Communications of the ACM · doi:10.1145/176789.176794 · Cited by 1,092
Jüttner, U. (2005) · The International Journal of Logistics Management · doi:10.1108/09574090510617385 · Cited by 1,025
Gilbert, N. (2007) · Cited by 981
Cited by
Supply chain risk management: a literature review
Ho, W., Zheng, T., Yildiz, H., & Talluri, S. (2015) · International Journal of Production Research · doi:10.1080/00207543.2015.1030467 · Cited by 1,363
Baryannis, G., Validi, S., Dani, S., & Antoniou, G. (2019) · International Journal of Production Research · doi:10.1080/00207543.2018.1530476 · Cited by 1,015
Artificial Intelligence in Supply Chain Management: A Systematic Literature Review
Toorajipour, R., Sohrabpour, V., Nazarpour, A., Oghazi, P., & Fischl, M. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2020.09.009 · Cited by 1,020
“…in a number of manners, such as designing mechanisms for supply chains under demand uncertainties (Kwon et al., 2007), supply chain risk management (Giannakis and Louis, 2011), supplier performance evaluations (Humphreys et al., 2003), agile SCM (Lou et al., 2004), and supply chain negotiations…”
Evaluation of Risk Management Practice in the Nigeria Construction Industry
Ugwu, M. C., Osunsanmi, T. O., & Aigbavboa, C. O. (2019) · Modular and Offsite Construction (MOC) Summit Proceedings · doi:10.29173/mocs116 · Cited by 12
Generative Network Design for Multi-Agent Coordination: A VAE-Assisted Deep RL Approach
Chen, Q., & Heydari, B. (2025) · Journal of Mechanical Design · doi:10.1115/1.4068796 · Cited by 4
Metadata
- Authors
- Giannakis, M., & Louis, M.
- Venue
- Journal of Purchasing and Supply Management
- Publisher
- Elsevier BV
- Published
- 2011-03
- Volume
- 17
- Issue
- 1
- Pages
- 23-31
- ISSN
- 1478-4092 (ISSN-L)
- OpenAlex
- W2021525828
- Cited by
- 338
- References
- 32
- FWCI
- 54.32
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Giannakis, M., & Louis, M. (2011). A multi-agent based framework for supply chain risk management. Journal of Purchasing and Supply Management. https://doi.org/10.1016/j.pursup.2010.05.001
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
