The Optimal Decision Of Distribution Network For Chain Management Enterprise

Through a series of efficient distribution operations, which is a crucial function of logistics system of chain management enterprise, we can realize the reduction of enterprise's total logistics costs, the enhancement of operational efficiency of logistics system and the increase of service level perceived by customers. In the certain sense, the survival and development of chain management enterprise lies on the reasonable design of logistic distribution system. The dissertation mainly focuses on the optimization design of distribution network for chain management enterprise. First, we study the distribution network design for chain management enterprise under demand uncertainty based on the optimization of inventory cost. Also, the design problem about two-echelon distribution network, which incorporate the competitive facility location of retail stores, is discussed in detail. As extended research, the dissertation also adopts the method of Gray Relation Analysis to deal with the facility location problem for distribution network design. At last, a decision support system for above optimization problems of distribution network is designed.1. The distribution network design for chain management enterprise under demand uncertainty based on the optimization of inventory cost. The combined optimization problem of distribution network design and inventory decisions for chain management enterprise under demand uncertainty is studied. Under the restriction of service levels at distribution centers (DCs) and retail stores, two-echelon inventory system analysis is analyzed in detail. A comprehensive cost optimization model for the distribution system, which includes multiple city DC and multiple stores, can be established by considering transportation cost and facility location cost. Larger scale problems can be solved by Genetic algorithm (GA) in which the simple and practical coding method is applied. The simulation results show that the model and algorithm are effective and efficient. Finally, the effects of demand, transportation distance and location cost parameters on the total system cost are analyzed by simulation, which provides an important decision support for distribution network design and inventory control. 2. Facility location for logistics distribution network based on Gray Relation Analysis (GRA). Taking account of the quantificational hypothesis of existing facility location literatures, which will construct certain limitations to the practical application of optimization models, we adopt an appropriate method to overcome the deficiency of original method. From the view of combination of the qualitative and quantitative analysis, we can comprehensively include multiple non-quantitative factors in the decision process, e.t. traffic condition, geography environment, and cultural conditions. The sequence of possibility about potential facility choice schemes can be calculated by the exerting of GRA.3. Two echelon distribution network design incorporating the competitive location of retail stores. Through developing the competitive facility location model of stores in the discrete and static setting, we can analysis the market shares captured by stores in detail. Based on the above result, two echelon distribution network design model, which simultaneously consider the location of stores and DCs, can be developed with the objective function of maximum total profit captured by the chain management enterprise. Because the above-mentioned model is typical nonlinear integer programming and bears strong property of NP, A Lagrangian heuristic solution approach, based on the sub-gradient method, will be developed to solve practical scale problems. Finally, the simulation results show that the model and algorithm are effective and efficient.4. This dissertation discussed the design and implementation of decision support system for distribution network optimization. The mold system is actualized primarily based on theories presented in this dissertation.