On the basis of the establishment of evaluation index system, an improved entropy weight – grey correlation – TOPSIS model is put forward to select project supply chain vendor, and process the related data. The each index weight is obtained from subjective weighting method and objective entropy method. The positive and negative distance between each evaluation object and ideal solution is calculated, and the grey correlation grade between each evaluation object and ideal solution is obtained. Then the relative closeness of each evaluation object can be gained that we can select the best vendor according to it.

With the rising of the supply chain in all areas, trust issues become more and more concern. An applied-information technology with trust risk evaluation method is presented. Trust risk rating index system is built after analyzing trust risks in the supply chain. The key indexes of trust risk indexes are selected based on rough set theory, and a simplified trust risk evaluation index system is constituted. The weight of each index is calculated by rough set theory. Supply chain trust risk is assessed based on the determined index system, index weight and advantages of the uncertain multiple attribute decision making methods, which provide the basis for trust of supply chain risk prevention.

In order to study behaviors of underground mine water inrush spreading, the multiple-phase LBM based on finite-volume particles and point-particles applied to create the LBM-Lagrange simulating model of underground water inrush spreading with silt. The simulation result shows that the model can get the visual information of water-sand inrush speed, water-sand pressure and distribution of water-sand phase. Therefore some effective alternatives can be made to control underground mine water inrush.

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