Market competition is becoming increasingly fierce, bringing serious challenges to the survival and development of logistics enterprises. Today, enterprises are unable to win only by the products in the market competition. Moreover, the enterprise focuses on the customers. To give differentiated service strategies based on classification of customers is an important part of implementing customer relationship management. Traditionally, to classify customers in accordance with the amount of consumption ignores two important factors between customers and business, including trading time and trading frequency, thus the accuracy rate is lower. In this paper, the RFM model is introduced into the process of classifying customers, and each attribute is given a certain weight. After the data are normalized by statistical knowledge, the RFM value of each customer is calculated. K-means method is used for classification. Then according to the clustering results, some different services and marketing strategies are adopted to different types of customers. Thereby the core competitiveness of enterprises is developed.
Because of China’s vast territory, large population, and huge demand for bulk materials, the railway transportation mode has always received considerable attention. For long-haul transportation, railway transportation can provide a scheduled-based transport plan, all-weather transport service, and cheaper carry instead of other transport modes. The study described in this paper attempts to develop a simulation platform for optimizing the placing-in and taking-out wagons system on the branch-shaped freight operation network (PTWS-BSFON). The operation process of PTWS is thoroughly analyzed from three aspects of decoupling-coupling wagons subsystem, placing-in local wagons subsystem, and taking-out local wagons subsystem. And then the simulation platform encompassing two typically shunting modes of PTWS are developed by Arena software. Under scenarios of PTWS-SO and PTWS-SSMS, the hierarchical structure of the shunting strategies is, respectively, outlined in the simulation platform. Finally, the shunting strategies based on the simulation platform are carried out by concrete examples, which prove the rationality of the methodology in applying different strategies and enhancing the performances of the PTWS-BSFON.
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