Optimization Problem For Electronic Commodities Wholesale Warehouse And Distribution Center Location And Vehicle Transportation

The bulk commodity, different with the retail goods, has a uniqueness in the location selection, the chosen of transportation program and the decision objectives. The phenomenon that one truck goes back and forth in multi-places will not take place. Also, optimization of Warehouse and transport scheme produces greater economic benefits. Under this situation, how to How to make optimal decisions in the facility location, requirement distribution, shipping methods and the route selection and establish an effective distribution system to reduce the cost has become a burning issue for the e-commerce logistics, which is worthy to be deeply and systematically solved.Although the predecessors have developed large amount of mathematical models to tackle this issue, the literature in the multi-objective optimization of warehouse and distribution center location is still rare. And it rouses the interests of more and more scholars to study. This article, in view of multi-objective programming, has finished series of work in the warehousing and distribution center location and vehicle routing optimization under the context of bulk commodity e- wholesale market. It proceeds as follows:1. Build a mixed integer programming model of supply chain with multi-product, multi-period, and multi-echelon. The model involves in several existing plants at fixed places, some warehouses and distribution centers at undetermined locations, and a number of given customer zones. Unsure market demands are taken into account and modeled as uncertainty demand through discrete scenarios with known probabilities. Balance the target between the total cost and total time, build a model of distribution plan from warehouses and distribution centers and then find the best solution. The aim of this phase is to improve logistic performance and to enable companies to sustain long-term competitive advantage through optimizing its distribution channels. To compensate for the supply chain members, this article proposes a two-stage fuzzy decision-making model. A multi-objective MILP is constructed to satisfy several conflict objectives, such as minimizing the total cost, raising the decision robustness in various product demand scenarios, lifting the local incentives, and reducing the total transport time.2.The comprehensive evaluation method was used to establish the logistic warehouse location model under electronic commerce. In addition, we have designed principles of the ideal point method and linear weighted method to solve the proposed model because of its complexity. Finally, we have solved numerous examples to compare the results of lingo and matlab, we use matlab and lingo just to check the result and to illustrate the numerical example, we can find from the result, the multi-objective model increases logistics costs and improves the efficiency of distribution time.3. Establish the logistics location model through fuzzy comprehensive evaluation. The new solution is proposed on the basis of fuzzy comprehensive evaluation whose aims to get the better solution in the view of the Multi-objective location problem. And the effect of this new method could be verified. At last, the model has been verified by case study. Comparing with traditional single-objective model, the model suggested by this article is more applicable and practicable and gets the optimal solution.4. Propose a new Multi-Population Particle Swarm Algorithm(MPSA) to solve the multi-objectives problems. After a long research work, a new proposed(MPSA) has been found to successfully handle large-scale vehicles transportation problem(with 54 variables). Comparing with the result of simplex method to solve line programming, MPSA covers basic variable domain and can obtain satisfactory convergence speed. Also, this methods also gets the Pareto envelope curve. The improvements of Particle swarm optimization algorithm help to solve NP- Hard problem in modern logistics intelligent system.5. Under the framework of electronic logistics optimization system, using MPSA as the basic optimization method and adopting matlab-GUI codes a logistics software called the E commerce logistics system. With the assistance of the software, decision-maker not only can get the static optimization plan but also can change the basic information of the suppliers, warehouses and customers in dynamic condition.This thesis mainly obtains following some research results:1.The supply chain planning model is constructed as a multi-objective MILP to satisfy several conflict objectives, such as minimizing the total cost, raising the decision robustness in various product demand scenarios, lifting the local incentives, and reducing the total transport time. For the purpose of creating a compensatory solution among all participants of the supply chain, a two-phase fuzzy decision-making method can be presented.2.To solve the multi-objective problem, this paper adopts the method of linear weighted method, ideal point method and fuzzy programming method. According to the study of the weakness of traditional PSO, this paper first proposes Multi-Population Particle Swarm Algorithm(MPSA) based on random parameters. It is a promising algorithm with extensive applicability and good convergence.3.Develop a software on the e commerce platform, this might suggest lessons for the future research work of bulk commodity logistics. More important, it can be brought into business.