Research On Some Optimization Problems Of Cross-border Supply Chain Network

With the globalization of the world economy and the complexity of cross-border supply chain management,especially the rapid development of cross-border e-commerce and the steady progress of "the Belt and Road Initiative" in recent years,the importance of cross-border supply chain network has become increasingly prominent.Due to the wide coverage of cross-border supply chain network,the complexity of trade barriers and cross-border logistics,the reliability of cross-border supply chain network has gradually become one of the bottlenecks restricting the positive development of economy.Faced with the complexity and uncertainty of cross-border supply chain,it is of great practical significance to minimize the harm of internal and external adverse factors in the supply chain,improve the stability and ability to resist risks of cross-border supply chain network,and carry out research on the modeling and optimization for cross-border supply chain network based on reliability.Aiming at the modeling and optimization for cross-border supply chain network under uncertain environment,this paper comprehensively applies the theories and methods of complex system modeling,uncertainty programming,fuzzy reliability optimization,robust optimization and system engineering.Based on the perspective of reliability,this paper studies the system structure and topology of cross-border supply chain network,the analysis and measurement of bullwhip effect,the robust optimization of node selection,and the fuzzy optimization of network design.Specifically,this paper has done the following work:1.The system structure and topology of cross-border supply chain network are studied.Based on the supply chain management,topological network theory and the basic theory of system engineering,the cross-border supply chain network is analyzed and studied from its connotation,characteristics and reliability in detail.And based on the abstraction principle of its edges and nodes,a model of topology and the structure of logistics network is established to overall grasp the basic characteristics of cross-border supply chain network.2.The analysis and measurement of bullwhip effect for cross-border supply chain network are studied,based on network evolution of stock.Based on the correlation theory of bullwhip effect,this paper analyzes the connotation,characteristics and internal and external key influence factors of bullwhip effect for cross-border supply chain network.And then a dynamic model of stock is constructed from the perspective of network evolution of stock,based on the ordering policy of linear time-invariant.By analyzing the relationship between inventory fluctuation of nodes and evolutionary time,a method to measure the bullwhip effect of cross-border supply chain network is proposed.Finally,taking a cross-border supply chain network in Beijing as an example,the results show that the measuring method can be used to evaluate the actual bullwhip effect for cross-border supply chain network,and the measurement index of the bullwhip benefit remains stable for different evolutionary times and network structure,but increases significantly with the increase of network size.3.The robust optimization of node location for cross-border supply chain network based on minimum and maximum regret value is studied.Aiming at the uncertain factors in the process of node location for cross-border supply chain network,a robust optimization model of node location for crossborder supply chain network based on minimum and maximum regret value is constructed,and a scenario relaxation algorithm is designed to solve the complexity of the robust optimization model.Finally,taking the over-seas warehouse location problem in the construction of two-step cross-border supply chain network as an example,the results show that the optimal solution of this model is valid for mostly situation and has strong robustness.4.The fuzzy optimum design of cross-border supply chain network based on reliability is studied.This paper comprehensively considers the uncertain factors such as transportation routes and transportation nodes in the cross-border supply chain network.Based on the modeling of the hinge center problem and the method of fuzzy reliability optimization,the fuzzy optimum design of crossborder supply chain network under the uncertain environment is established with the maximum reliability of cross-border supply chain network(max-min criterion)as the decision objective.Then,a Taboo Search(TS)algorithm is designed to obtain the(approximate)optimal solution based on the model complexity analysis and linear processing.Finally,taking the TR network in OR-LIBRARY data platform and the random generation of large-scale network data as examples,the numerical results show that the reasonable number of site selection can achieve better optimization for the structure of cross-border supply chain network and improve the overall reliability of cross-border supply chain network.Through the study of the above questions,the research further enriches the reliability analysis,design,modeling and optimization of related theory for cross-border supply chain network,improves the bottle-neck in management decisions at present,strengthens the application of fuzzy reliability optimization and robust optimization in the design and optimization for cross-border supply chain network,provides auxiliary decision support for the scientific and effective development of crossborder supply chain network.