Modeling Simulation And Evolutionary Analysis Of Multi-level Supply Chain Complex System

With the advancement of industrie 4.0 and economic globalization,the manufacturing supply chain has become more and more characterized by a wide range of areas,a large number of enterprises,strong interdependence,dynamic and complicated.Exploring the evolution law of supply chain has great practical value and theoretical significance for management of industry and enterprises.The main contents and innovations of this paper are as follows:1.The description rules and evolutionary algorithm of dumbbell-type multi-level supply chain complex network were proposed based on node degree and competitive coefficient and local world selection connection.The evolution model of supply and demand network(SDN) and its subnets,integrated network(IN)and its subnets were established.The evolution rule of multi-level supply chain statistical features was analyzed,and the relationship between subnet and global network was revealed,and the relationship between SDN and IN was revealed too.The results show that the power index of degree distribution is positively correlated with the average degree and negatively correlated with level number of supply chain under the same evolution condition,bigger average degree makes IN has shorter average distance and higher efficiency and bigger cooperative factor compared with SDN,which is beneficial to improve network performance.2.Based on the above model,the global network attack strategy and core level attack strategy were proposed,and the cascading failure algorithm of similar nodes with connection was designed,and the robustness of the complex supply chain was evaluated from multiple dimensions.The relationship between degree distribution and static robustness,and between network level and static robustness of supply chain were revealed.The results show that the fewer level and the smaller power index of supply chain,the stronger static robustness under the same evolution condition,the supply chain display stronger static robustness under core level attack strategy compared with global network attack strategy,and the cascading failure robustness of comprehensive network is greatly reduced.3.Based on theory of complex adaptive system(CAS)and ABM/DES hybrid modeling method,the multi-level supply chain stimulus-response model was proposed and established,which used multiple manufacturers as the core and considerd pricing and advertising strategy.Simulation shows that the manufacturer with low pricing strategy enter supply chain system firstly,and has obvious competitive advantages in the formation,but has insufficient stamina and has a smaller market share eventually.However the manufacturer with quality strategy enter the supply chain lately,but its market share is increase with time,and takes a large proportion market share eventually,and has advantage of backwardness.Under certain conditions,manufacturer's pricing strategy plays a leading role,and advertising strategy has less influence.4.Based on CN/CAS/GIS,the multi-level supply chain model and its adaptability index were put forward considered product utility and distance utility of node and local world connection.The relationship between point weight distribution and unit weight distribution and degree distribution power index were revealed,and the robustness of supply chain was clarified.The results show that the realistic supply chain considering point weight has strong robustness,and supply chain adaptability is strong and has little difference when core level faced with deliberate attack and random attack.Limited connections of similar nodes not only improve the performance and static robustness,but also avoid cascading failure caused by the excessive connection of similar nodes.5.Based on CN/CAS/GIS evolution model,the multi-agent learning mechanism based on PSO learning algorithm was proposed,and the impact of social learning ability and the self-learning ability on supply chain was analyzed.The influence of different learning ability on the evolution and robustness of the supply chain was revealed.The results show that appropriate social learning ability is beneficial to improve the profit and product effectiveness of supply chain.The product of supply chain are more diversified,and consumer's choice are wider if emphasize self-learning ability.The supply chain with learning ability is propitious to improve the robustness of supply chain.