In the increasingly competitive logistics market, it is very important to scientifically, effectively and objectively evaluate the validity of integration optimization of the railway logistics resources and the core of logistics enterprises. Supported by the multidisciplinary theory, based on the method combined with theory and practice, this paper uses BP neural network algorithm to conduct empirical analysis of the core capability of China's railway logistics enterprises, and uses AHP method to prove the accuracy of results and obtain a conclusion that the core competition of China's railway is increasingly enhanced, thus providing a theoretical and practical reference for the development of China's railway logistics.

No abstract

The optimal allocation of railway logistics resources is the current key issue confronted by China ' s railway industry. Under this background, this paper researches this issue along the route of motivation → mechanism → model → evaluation. Based on the research of internal development needs of railway logistics resources and motivation of external social needs, this paper analyzes the effect of dynamic factors generated by different resources on the logistics system, provides a direction for the optimization and integration of resources, establishes a multi-objective nonlinear programming model based on customer utility, and uses Lagrange multiplier form to explain the coupling relationship between corresponding services for customer needs and types of logistics resources. Combined with the relevant data of railway logistics in China Traffic Yearbook in 2000 to 2009 processed by DEA model, the coordination validity coefficient-Cs, development validity coefficient-Ds and comprehensiveness validity coefficient-Ss are used to represent the optimization effect of railway logistics resources in timing sequence. The research results show thatChina's railway logistics resource system is at the stage of increasing returns to scale. There is a need to take measures to strengthen resource integration and increase investment scale, so as to ensure the sustainable development of railway logistics system. Keywords-dynamic factors; integration of resources; multiplier effect; multi-objective programming; validity coefficientI.