Material Cost Control Method Selection and Optimization for Coal Mine Production System
In view of the existing problem in coal material cost management which can′t be effectively solved by single cost control method,a new material cost control method was proposed which integrated activity cost method,responsibility cost method with standard cost variance,based on the deep analysis of production system and material cost structure for the coal mine.This composite method,after being applied in the coal mine corporation,is found to be beneficial for improving the production management,but also reducing the production cost.
In this work we present a decision support system for the melanoma diagnosis using individual methods and the collaboration between these methods. The system designed uses a photograph of the lesion and it makes a preprocessing task to extract the region of interest. Then, several characteristics of the image are analyzed, studying with different methods the degree of malignity; the methods used are based in Bayesian rules and in neural networks. Finally, each individual decision from each method contributes in some way to the final decision. The classification rate obtained with the cooperative approach is above 92%.