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.

中文翻译：

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跨区域跨国电子商务企业供应链序列的分形统计模型

随着世界贸易往来的快速发展，跨国、跨区域电子商务企业已成为各国人员、组织和相关企业之间贸易往来的热导体，成为各国经济高质量发展的重要内容。国家。跨国跨地区电子商务企业具有流通结构简单、交易成本简化、经济贸易活动效率高、演进迅速等特点。然而，传统的跨国跨地区电子商务企业在供应链上存在发展缓慢、效率低下的缺点。同时，相应的决策序列中还存在许多不确定因素。在本文中，全面分析研究跨境电子商务供应链面临的风险。同时，创新性地从随机不确定性和模糊不确定性两个方面研究跨境电子商务供应链序列决策问题，建立双层随机期望模型，形成分形统计供应链序列模型。本文详细讨论了两种顺序策略，建立了双层模糊等价模型。最后通过优化软件对模型进行求解。实验结果表明，本文提出的分形分数优化模型对于跨国、跨区域电子商务企业的供应链优化具有优势。同时，创新性地从随机不确定性和模糊不确定性两个方面研究跨境电子商务供应链序列决策问题，建立双层随机期望模型，形成分形统计供应链序列模型。本文详细讨论了两种顺序策略，建立了双层模糊等价模型。最后通过优化软件对模型进行求解。实验结果表明，本文提出的分形分数优化模型对于跨国、跨区域电子商务企业的供应链优化具有优势。同时，创新性地从随机不确定性和模糊不确定性两个方面研究跨境电子商务供应链序列决策问题，建立双层随机期望模型，形成分形统计供应链序列模型。本文详细讨论了两种顺序策略，建立了双层模糊等价模型。最后通过优化软件对模型进行求解。实验结果表明，本文提出的分形分数优化模型对于跨国、跨区域电子商务企业的供应链优化具有优势。从随机不确定性和模糊不确定性两个方面创新研究跨境电商供应链序列决策问题，建立双层随机期望模型，形成供应链序列分形统计模型. 本文详细讨论了两种顺序策略，建立了双层模糊等价模型。最后通过优化软件对模型进行求解。实验结果表明，本文提出的分形分数优化模型对于跨国、跨区域电子商务企业的供应链优化具有优势。从随机不确定性和模糊不确定性两个方面创新研究跨境电商供应链序列决策问题，建立双层随机期望模型，形成供应链序列分形统计模型. 本文详细讨论了两种顺序策略，建立了双层模糊等价模型。最后通过优化软件对模型进行求解。实验结果表明，本文提出的分形分数优化模型对于跨国、跨区域电子商务企业的供应链优化具有优势。本文详细讨论了两种顺序策略，建立了双层模糊等价模型。最后通过优化软件对模型进行求解。实验结果表明，本文提出的分形分数优化模型对于跨国、跨区域电子商务企业的供应链优化具有优势。本文详细讨论了两种顺序策略，建立了双层模糊等价模型。最后通过优化软件对模型进行求解。实验结果表明，本文提出的分形分数优化模型对于跨国、跨区域电子商务企业的供应链优化具有优势。