Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
8-2013
Abstract
Supply chain networks of modern era are complex adaptive systems that are dynamic and highly interdependent in nature. Business continuity of these complex systems depend vastly on understanding as to how the supply chain network evolves over time (based on the policies it adapts), and identifying the susceptibility of the evolved networks to external disruptions. The objective of this article is to illustrate as to how an agent-based network analytic perspective can aid this understanding on the network-evolution dynamics, and identification of disruption effects on the evolved networks. To this end, we developed a 4-tier agent based supply chain model and simulated the evolution of the supply chain network based on two different partner selection scenarios. Network-evolution diagrams, change in structural characteristics over time and effect of disruptions on the critical nodes for the two different partner selection scenarios are presented. The networkevolution characteristics (social network analysis based node/network level metrics) over time have been quantified and the vulnerability of the evolved networks, due to disruptions that result in reduction in production of the network's critical producer node, has been identified
Keywords
adaptive systems, agent-based model, Complex adaptive supply network, network evolution, structural characteristics of supply network, supply chain
Discipline
Numerical Analysis and Scientific Computing | OS and Networks
Research Areas
Intelligent Systems and Optimization
Publication
Proceedings of the 2013 3rd International Conference on Instrumentation Control and Automation, Ungasan, Indonesia, August 28-30
First Page
68
Last Page
73
ISBN
9781467357982
Identifier
10.1109/ICA.2013.6734048
Publisher
IEEE
City or Country
New Jersey
Citation
PONNANBALAM, Loganathan; Tan, A.; FU, Xiuju; YIN, Xiaofeng; WANG, Zhaoxia; and GOH, Rick S. M..
An agent-based network analytic perspective on the evolution of complex adaptive supply chain networks. (2013). Proceedings of the 2013 3rd International Conference on Instrumentation Control and Automation, Ungasan, Indonesia, August 28-30. 68-73.
Available at: https://ink.library.smu.edu.sg/sis_research/6840
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/ICA.2013.6734048