Research On Lean Supply Chain Network Based On Node Removal

With the development of economic globalization,competition among enterprises has intensified,and many industry leaders have innovated and reformed their supply chains to reduce structural complexity and enhance their competitive advantage.Since the complexity of the types of supply chain members and the large number of nodes are the main reasons for the complexity of the structure.Therefore,this paper removes the nodes in the supply chain network from the perspective of reducing the complexity of the structure to achieve the goal of structural lean.There are two parts to the study of supply chain network lean in this paper.The first part is from the perspective of the stability of the supply chain network,with the goal of maximizing the robustness of the remaining network after the node removal.Based on the importance of nodes in the network,innovatively establish a node removal cost calculation model from two aspects of node degree and node strength;Secondly,based on resource finiteness,network lean degree and robustness in supply chain network,integer programming model is constructed.Thirdly,this paper proposes an optimization algorithm based on memetic algorithm to solve the integer programming model.Finally,in order to verify the optimization performance of the algorithm in the problem,this paper compares it with the node degree-based heuristic algorithm and the classic genetic algorithm,and compares it with the iterative optimization process of the genetic algorithm.The comparison results show that the memetic algorithm has better optimization performance on the problem of lean supply chain network.The second part is to maximize the interests of the enterprise based on the stability of the supply chain network.The goal is to minimize the total cost of node removal in the network lean,and the scale of node removal and the robustness of the remaining network are constraints.Firstly,a programming model based on the lean research of cost is constructed.Secondly,the corresponding memetic algorithm is designed according to the programming model.Thirdly,the memetic algorithm is used to solve the model and compared with the classical genetic algorithm and the heuristic algorithm based on node degree.This research can obtain the optimal node removal strategy in the problem,and provide effective suggestions for core enterprises to realize the lean supply chain network.