Mingke He

Customer Credit Risk Assessment of Pledge by Warehouse Receipts in a Chinese Logistics Enterprise

Chinese large logistics enterprises have carried out the business of pledge by warehouse receipts for more than ten years while many problems emerged in the process of business implementation. A lot of risks such as customer credit risk, the risk of bad delivery and regulatory risk have emerged in the business. In particular, customer credit risk is very important. Therefore, it is necessary to study the customer credit risk of the pledge by warehouse receipts for Chinese logistics enterprises. In this paper, a Chinese logistics enterprise called Group Z was taken as an example. Firstly, the background and significance of the study was described. Secondly, the relative theories were introduced as the basis of the evaluation method created in the following part. At last, an evaluation system of customer credit risk was established mainly aimed to evaluate customer credit risk factors through systematic analysis so as to select customers on the basis of a more quantitative analysis.

City distribution service quality: A factor impacting on supplier-customer relationship and customer satisfaction

This paper seeks to propose a conceptual structural equation model to investigate the relationships among city distribution service quality (SQ), supplier-customer relationship (SCR) and customer satisfaction (CS) and to demonstrate their direct and indirect effects on each other. An empirical study is conducted in Beijing and the collected survey data are used to verify the relationships among the three factors expressed in the proposed structural equation model. The results show that SQ has a direct and significant impact on SCR and CS. In addition, SQ influences CS indirectly through SCR which has direct and significant influences on CS. The most significant dimension of SQ is responsiveness and the least one is tangibles. The results are useful for other large international cities where the circumstances are similar to Beijing since data from Beijing were collected and used in this research.

Evaluation model and its application for city distribution capability of Beijing based on entropy method

The rapid economic development of Beijing has brought itself a huge demand for logistics, while city distribution has became an important method to support the normal operation and economic development of the city and a chief functional distinction of the logistics system. Evaluating city distribution capability and finding the bottleneck restricting its development are basic to optimize the logistics system and improve the logistics level of Beijing. In view of three aspects including infrastructure, external environment and service capability, this paper establishes an evaluation indicator system of city distribution capability, builds a comprehensive evaluation model using the entropy method, and then empirically analyzes the city distribution capability based on the actual data of Beijing for several years. As a result, this paper finds the main factors influencing city distribution capability, analyzes the reason why the growth rate of capability fluctuates in recent years, and puts forward the relevant conclusions and corresponding countermeasures finally.

Coordinated development degree of the relationship between supply and demand in city distribution system

The purpose of studying coordinated development degree of supply and demand is to measure the operational compatibility of city distribution system. A model of coordinated development degree of supply and demand is developed with coordinate factors and development factors. Two aspects of supply and demand are considered in the process of designing the model and index system. Empirical sample data is collected from supply and demand of city distribution in Beijing and Shanghai to verify the validity of the model. Key index defining coordinated development degree of supply and demand is concluded and the improvement measures are proposed correspondingly.

The correlation analysis of the capability of city distribution and the development of socio-economic in Beijing

The demand for logistics becomes larger and larger with the rapid economic development of Beijing, and city distribution has become a necessary method of supporting the regular running and economic development and an important function of logistics system. Deeply research for the correlation of city distribution capability and socio-economic development will be of great importance for encouraging the match and integrative of these two factors. In this paper, by analyzing socio-economic development of Beijing and the present situation of city distribution development, we choose 6 indicators which reflect the level of socio-economic of Beijing and 5 indicators which reflect the level of the development of city distribution to analyze the correlation quantitatively. Then we use elasticity coefficient reflecting the relationship between the increasing speed of city distribution capability and the developing speed of socio-economic of Beijing, and then we can judge whether the city distribution adapts socio-economy. At the end, we can get the conclusion that there is a strong positive correlation between the Beijing city distribution capabilities and the socio-economic.

Personal Credit Assessment Based on KPCA and SVM

Personal credit assessment is carried out by setting up a mathematical model to count, calculate and analyze the personal credit data. At present personal credit assessment has already became a kind of worldwide industry. In this paper we combine kernel principal component analysis and support vector machine to propose a new mathematical model based on KPCA and SVM. We extract personal credit data using KPCA, then use them to train SVM. Experiments show that the new method put forward in this paper is superior to other methods in assessing precision and assessing efficiency.

Research on location methods of RDC in high-density logistics network points

Many large enterprises are establishing high-density logistics network points to improve customer satisfaction. From the point of logistics efficiency increases, it is an effective method. But it also results in repeated construction. To avoid increasing logistics cost and wasting social resources, a method based on Self-Organizing Feature Map and Baumol-Wolfe model is used. Compared to general location methods, its innovative point is the combined use of cluster analysis, and its result can be easily got by using Matlab and successive-approximation algorithm. In the end, a practical calculation example is used to analyze the feasibility and superiority of this method.

Economic Factors Influencing City Logistics Demand in China

This paper seeks to propose a conceptual structural equation model to investigate the relationships between economic factors and city logistics demand including demand volume and demand quality and to demonstrate their direct and indirect effects on each other. An empirical study was conducted in 120 cities in China and the collected survey data was used to verify the relationships expressed in the proposed structural equation model. The results show that three hypothesis are supported significantly. It can be concluded that both economic factors and demand quality influences demand volume significantly while industrial added value and gross domestic production have more significant impact on city logistics demand.