Distribution Center Location Decision-making Based on PCA and Support Vector Machine Approach

Distribution centers location involves many factors, as a complicated systems engineering. A right location can get better economic benefit and society contribution. There are so many factors which influence the decision-making of the distribution center. Meanwhile there are relations between the factors because it´s difficulty for us to set up an index system which only has independent indexes. In other words, eliminating an index at discretion may reduce the decision-making accuracy of the distribution centers location. But too many indexes will induce the complex of the computation. Thinking about the upper problems, the principal component analysis is introduced to deal with the indexes. It can form a new series of index which are independent among each other and reduce the index number. Then, the support vector machine was used to calculate the fit degree of the distribution center location. At last, it is validated that the results by SVM is feasible for decision-making.