Based on AHP and cluster analysis for classification method of emergency supplies

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Abstract

This thesis is devoted to the research of emergency material distinction between different levels of reserve and scheduling problems using the combined model of AHP analytical hierarchy process and cluster analysis, AHP analytical hierarch process being both qualitative and quantitative, while the cluster analysis being both clear and concise. Viewing the Features of emergency supplies of scheduling and reserve, two hierarchical models were proposed separately. For the hierarchical model for the emergency supplies scheduling, classification is based on the scheduling characteristics of the emergency materials, defining the emergency materials scheduling as the target layer; the features of the emergency rescue, such as the importance, timeliness and degree of scarcity, as the policy level, and the typical relief supplies to programmers. For the hierarchical process model of the material reserve, classification is based on the reserve characteristics of the emergency material. Set the emergency materials reserve to the target layer in the analytic hierarchy process model of the material reserve. For character of emergency relief set the material costs, management requirements and degree of scarcity to policy makers; For a typical relief supplies set the related material to programmers. Establish a corresponding judgment matrix according to the relevant requirements which is based on reserve and scheduling requirements. The deployment requirements and reserve requirements can be built by using the algorithm of AHP analytical hierarchy process in order to get the weights of 9 kinds of materials. After clustering analysis of these two weighted tables, the correlated classification of the 9 kinds of materials can be obtained finally. The disadvantages of the traditional centralized management can be solved.

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APA

Su, Z., Weng, X., & Zhang, L. (2015). Based on AHP and cluster analysis for classification method of emergency supplies. Lecture Notes in Electrical Engineering, 286, 95–103. https://doi.org/10.1007/978-3-662-44674-4_9

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