THE FRACTAL STATISTICAL MODEL OF TRANSREGIONAL AND TRANSNATIONAL E-COMMERCE ENTERPRISES SUPPLY CHAIN SEQUENCE

Abstract

With the rapid development of world trade exchange, transnational and cross regional e-commerce enterprises have become the heat conductor of trade exchanges among people, organizations and related enterprises of all countries, as well as the important content of high-quality economic development of all countries. Multi-national and transregional e-commerce enterprises have the characteristics of simple circulation structure, simplified transaction cost, high efficiency and rapid evolution in economic and trade activities. However, the traditional transnational and transregional e-commerce enterprises have the disadvantages of slow development and low efficiency in the supply chain. At the same time, there are still many uncertain factors in the corresponding decision sequence. In this paper, the risks faced by cross-border e-commerce supply chain will be comprehensively analyzed and studied. At the same time, the decision-making problem of cross-border e-commerce supply chain sequence will be studied innovatively from two aspects of random uncertainty and fuzzy uncertainty, and a double-layer random expectation model will be established to form a fractal statistical model of supply chain sequence. In this paper, two kinds of sequential strategies are discussed in detail, and a double-layer fuzzy equivalent model is established. Finally, the model is solved by optimization software. The experimental results show that the fractal fractional optimization model proposed in this paper has advantages for the supply chain optimization of multi-national and cross regional e-commerce enterprises.