Abstract | ||
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Supply chain disruptions and risks have been garnering more attention in recent years owing to the occurrence of several high-profile disruptions and many published works acknowledge the increasing vulnerability to disruptions in supply chains. Few, however, explicitly embrace complex systems (CS) approach as a holistic, system-wide perspective towards supply chain risk management (SCRM). This paper analyzes the current status and identifies research trends in applying CS approaches to SCRM by analyzing the Science Direct publication database. The paper then provides a further review of CS technologies for SCRM and discusses on the gaps and directions for future research in SCRM by CS technologies. |
Year | DOI | Venue |
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2013 | 10.1109/SMC.2013.475 | SMC |
Keywords | Field | DocType |
complex systems technologies,research trend,high-profile disruption,cs technology,complex system,supply chain risk management,supply chain,science direct publication database,current status,supply chain disruption,risk management,supply chain management,multi agent systems | Complex system,Computer science,Knowledge management,Risk analysis (engineering),Multi-agent system,Risk management,Artificial intelligence,Supply chain,Vulnerability,Service management,Supply chain risk management,Supply chain management,Machine learning | Conference |
ISSN | Citations | PageRank |
1062-922X | 1 | 0.35 |
References | Authors | |
11 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zhengping Li | 1 | 9 | 1.87 |
Puay-Siew Tan | 2 | 11 | 1.62 |
Yee Qi Ming Gabriel | 3 | 1 | 0.35 |
Quoc Chinh Nguyen | 4 | 10 | 1.22 |
Ong Yew Soon | 5 | 39 | 5.02 |
Xianshun Chen | 6 | 523 | 16.38 |