AI-LLM Empowering Supply Chain Resilience: An Analysis Based on a Manufacturer-Supplier-Consumer Tripartite Evolutionary Game Model

This dataset comprises the numerical simulation results and associated code from the study entitled "AI-LLM Empowering Supply Chain Resilience: An Analysis Based on a Tripartite Evolutionary Game Model of Manufacturer-Supplier-Consumer." The study examines how artificial intelligence and large language models (AI-LLM) enhance supply chain resilience by influencing the strategic interactions among manufacturers, suppliers, and consumers. The core methodology employs a tripartite evolutionary game model, which simulates the dynamic strategic behaviors of the three stakeholders under various parameter configurations that reflect the impact of AI-LLM technology. Data used in this research are collected from prominent Chinese online platforms—including Toutiao, Sohu, and news forums—providing empirical support for parameter calibration in the model. Furthermore, the simulation codes for generating figures and solving equilibrium points were primarily implemented manually in MATLAB, encompassing time series data that depict the evolution of strategy adoption probabilities, along with the corresponding computational scripts necessary to reproduce the model outcomes. The dataset is systematically organized and comprehensive, thereby offering valuable reference material and practical insights for researchers working in the field of game theory.