A Global Resilient Supply Chain Network Design Model Considering Risks and Carbon Emissions
Publication Date
8-1-2026
Document Type
Article
Publication Title
Computers and Chemical Engineering
Volume
211
DOI
10.1016/j.compchemeng.2026.109673
Abstract
In recent years, global supply chains have witnessed increasing exposure to two critical risks: supply disruptions and opportunistic behaviors. The former threatens the continuity and reliability of the supply chain, while the latter undermines trust and long-term stability. Given these challenges, there is a pressing need to develop mechanisms that enhance supply chain resilience and trustworthiness. In this paper, we consider four resilience strategies including the manufacturer protection, distributor reliability enhancement, direct-to-store delivery, and emergency inventory. A global resilient supply chain network optimization model based on multi-objective decision making are developed in which we incorporate the resilience strategies and consider internal demand variability and external disruption risks. A multi-objective genetic algorithm is proposed and employed for solving the optimization model. Finally, numerical examples are gave to evaluate various combinations of four resilience strategies and investigate the impact of uncertain demand and disruption scenarios on the profits, the carbon emissions and risks of the network. The findings reveal that, although the resilience strategies lead to a slight decline in the total profits and an increase in the total carbon emissions, they effectively mitigate the disruption risks and greatly enhance resilience of the network. Moreover, the study highlights the importance of the trust mechanisms and the social relationships among the members in the supply chain network, as they can significantly reduce the risks and enhance the resilience of the network, even if enhancing the social relationships may lead to a certain degree of profit reduction.
Keywords
Carbon emissions, Global supply chain network, Operational risks, Opportunistic risks, Resilience strategies
Department
Global Innovation and Leadership
Recommended Citation
Yuxiang Yang, Xinyi Zhu, and Xun Xu. "A Global Resilient Supply Chain Network Design Model Considering Risks and Carbon Emissions" Computers and Chemical Engineering (2026). https://doi.org/10.1016/j.compchemeng.2026.109673