Research on Supply Chain Network Optimization under Cross-border Industrial Cooperation Model Based on Dual Carbon Objectives

Abstract

Under the background of economic globalization, green supply chain management has become a key strategic management tool for enterprises to improve their competitiveness as well as sustainable development. This paper proposes the objective function and constraints in supply chain network optimization based on the policies related to the dual-carbon target and the requirements in the cross-border industrial cooperation model and uses the robust model to solve and realize the establishment of the supply chain network optimization model. The simulation test found that the solving efficiency of this model and the control of carbon emissions are better than the traditional genetic algorithm. Meanwhile, after the optimization of this model, the supplier delivery rate of cross-border enterprise Y can reach 91.28%, which is far beyond the target expectation, and the carbon emission of the enterprise is far below the carbon emission limit, so the green cross-border supply chain network can be realized. The model in this paper can improve the weak link in the green management decision of cross-border supply chain network, strengthen the application of a robust model in the design and optimization of cross-border supply chain network, and provide auxiliary decision-making support for the construction of cross-border supply chain network scientifically and effectively.

Keywords

• objective function
• constraints
• robust modeling
• supply chain network
• cross-border industry
• 97p20