Three-echelon Supply Chain Network Opt-design Under Fuzzy Environment Considering Of Risk Control

With the rapid development of economic globalization, the number of the enterprises in supply network increases, the geographical distribution of enterprises extends, and the environment of business becomes more and more complex. Customer's demand on product quality, delivery and service levels have become increasingly high, which make business face greater challenges, inter-firm competition more intense. Supply chain network plays an important role in reducing costs and improving the economic profiting, therefore, competition among modern enterprises is more performance for the competition of supply chain network.However, in recent years, the risk event occurred at times. Risk event would cause the supply chain node failure, and this will soon affect the other enterprises of the supply chain network, which led to the entire supply chain network instability. Therefore, supply chain network design and management must also take these risk factors into account, and enhance the capacity of supply network of quickly returning to the normal operation state from the failure after the incident.This paper takes the multi-echelon supply chain network design under fuzzy environment as the research objects. The paper finishes the work in the following four aspects:(1)We introduce the background of this paper, make a review of the literatures on supply chain network design and supply chain risk, introduce the method and recent research advance in this field, and brief the study's purpose and significance.(2)We elaborate the concept and basic theory of supply chain, supply chain network design and supply chain risk. It is emphasized that risk management in supply chain management is very important.(3)Fuzzy multi-objective mixed-integer nonlinear programming model is formulated, based on fuzzy demand, fuzzy transportation costs and price discounts for multi-product, multi-material, three-echelon supply chain network design. Because of the different importance of objectives, we adopt the weighted max-min operator method, to find an optimal solution within the feasible area, that the ratio of the achieved levels is as close to the ratio of the weights as possible. Finally, a numerical example demonstrates the effectiveness and feasibility of the model and the algorithms. (4)We apply fuzzy chance-constrained goal programming theory to an optimal model for supply chain network design with fuzzy demand, fuzzy transportation costs and price discounts, considering of supplier failure and financial risk under multi-product, multi-material three-echelon supply chain network optimization models. Finally, a numerical example illustrates the effectiveness and feasibility of the proposed model and algorithm.In addition, at the end of this paper, we summarize the main findings and conclusions, major contribution and limitations and requiring work for further research.