TY - JOUR
T1 - Complex network theory-based approach for designing resilient supply chain networks
AU - Mari, Sonia Irshad
AU - Lee, Young Hae
AU - Memon, Muhammad Saad
N1 - Publisher Copyright:
Copyright © 2015 Inderscience Enterprises Ltd.
PY - 2015
Y1 - 2015
N2 - Globalisation within supply chains opens many doors for new opportunities but can also result in highly complex, unstable and fragile supply chains. Due to importance of complex network theories in supply chain, the authors examine the advances of complex network theories to understand the properties of these networks in underlying efficient supply chains. In this paper, the resilience metrics for supply chain are developed based on complex network theory. Agent-based simulation approach is used to show the applicability of various complex network models to design the resilient supply chain networks. Simulation results shows that supply chain network can be designed based on complex network theory especially as a scale-free network. It was also concluded that scale-free models have some limitations and cannot accurately represent an efficient and resilient supply chain. Therefore, it is suggested that a scale-free model should be developed that can represent more robust and resilient supply chain networks.
AB - Globalisation within supply chains opens many doors for new opportunities but can also result in highly complex, unstable and fragile supply chains. Due to importance of complex network theories in supply chain, the authors examine the advances of complex network theories to understand the properties of these networks in underlying efficient supply chains. In this paper, the resilience metrics for supply chain are developed based on complex network theory. Agent-based simulation approach is used to show the applicability of various complex network models to design the resilient supply chain networks. Simulation results shows that supply chain network can be designed based on complex network theory especially as a scale-free network. It was also concluded that scale-free models have some limitations and cannot accurately represent an efficient and resilient supply chain. Therefore, it is suggested that a scale-free model should be developed that can represent more robust and resilient supply chain networks.
KW - Agent-based simulation
KW - Complex-network theory
KW - Disruption
KW - Resilient supply chain
UR - https://www.scopus.com/pages/publications/84930456062
U2 - 10.1504/IJLSM.2015.069733
DO - 10.1504/IJLSM.2015.069733
M3 - Article
AN - SCOPUS:84930456062
SN - 1742-7967
VL - 21
SP - 365
EP - 384
JO - International Journal of Logistics Systems and Management
JF - International Journal of Logistics Systems and Management
IS - 3
ER -