Research On Game Complexity Of Low-Carbon Supply Chains With Time Delays

In recent years,in the face of increasingly serious global warming and frequent extreme weather issues,as the ecological environment has gradually deteriorated,more and more people’s lifestyles and consumption concepts have changed,and consumers’ awareness of low-carbon environmental protection has also changed.Gradually increasing,low-carbon life is accepted by more and more people.When consumers buy products,in addition to considering factors such as product price and quality,the lowcarbon attributes of products are also important factors that consumers consider when buying.Based on the research of domestic and foreign scholars on low-carbon supply chain game theory,this thesis considers the decision-making choices of relevant companies in the low-carbon supply chain,and constructs a low-carbon supply chain game model with delayed decision-making.Through the use of chaotic dynamics theory and system Stability theory,derives and analyzes the model,uses Matlab software to conduct simulations,analyzes which factors will be affected in the decision-making process of the enterprise,and which measures can be taken to effectively suppress and eliminate the negative effects of these factors.The research contents and main contributions of this thesis are as follows:(1)Expanded research on the field of low-carbon supply chain.Previously,domestic and foreign scholars have conducted related research on the field of lowcarbon supply chain in their literature.The main research results are mostly in the fields of performance evaluation and the establishment of multi-objective optimization models.Rarely conduct research from the perspective of game theory.This thesis uses a variety of theories such as game theory,chaotic dynamics theory,and stability analysis theory to study the stability of low-carbon supply chain systems.(2)This thesis studies the influence of consumer preferences and low-carbon R&D investment into the low-carbon supply chain,and uses bounded rationality criteria and discrete chaotic model stability analysis methods to study the complex dynamic evolution process of the model,and through numerical simulation,analysis of the impact of decision-making variable adjustment speed and other parameters on system stability under different scenarios.Studies have shown that too fast adjustment speed of decision variables will cause the bifurcation phenomenon of system evolution,which will cause the system to fall into a state of chaos.By introducing delayed decisionmaking,the occurrence of chaos can be effectively suppressed and eliminated.(3)Under the chaotic state,the stability of the nonlinear dynamic system will be seriously affected,which will affect the decision-making of the enterprise.The profit of the enterprise will decline and produce violent fluctuations.It is difficult to predict it,which is not conducive to the development of the enterprise.In this thesis,the delayed feedback control method is used to control the chaotic state of the model,and based on the actual situation,several suggestions that can help enterprises implement feedback control are put forward.The research in this thesis provides theoretical and practical guidance for realizing the stable development of low-carbon supply chain system.