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The paper explores the intrinsic link between logistics industry, national economy and three industries by using Chinese input-output table of 2010. It shows that logistics industry has the strongest inquiry and need on secondary industry; next is itself and the last is Agriculture. Second, the influence coefficient of logistics industry is after the second industry radiation ability; its status in national economy is strong and has become the dominant industry of national economic development. Furthermore, the degree of fluctuation for logistics industry is small, and its restriction role and bottleneck effect are obvious for national economy. Moreover, logistics industry is a sector with strong radiation and weak constraints and its promotion effect on national economy is more pronounced than that of national economy on itself.
We employ uncertain programming to investigate the competitive logistics distribution center location problem in uncertain environment, in which the demands of customers and the setup costs of new distribution centers are uncertain variables. This research was studied with the assumption that customers patronize the nearest distribution center to satisfy their full demands. Within the framework of uncertainty theory, we construct the expected value model to maximize the expected profit of the new distribution center. In order to seek for the optimal solution, this model can be transformed into its deterministic form by taking advantage of the operational law of uncertain variables. Then we can use mathematical software to obtain the optimal location. In addition, a numerical example is presented to illustrate the effectiveness of the presented model.