Purpose

Based on the typical service supply chain (SSC) structure, the authors construct the model of e-tailing SSC to explore the coordination relationship in the supply chain, and big data analysis provides realistic possibilities for the creation of coordination mechanisms.

Design/methodology/approach

At the present stage, the e-commerce companies have not yet established a mature SSC system and have not achieved good synergy with other members of the supply chain, the shortage of goods and the greater pressure of express logistics companies coexist. In the case of uncertain online shopping market demand, the authors employ newsboy model, applied in the operations research, to analyze the synergistic mechanism of SSC model.

Findings

By analyzing the e-tailing SSC coordination mechanism and adjusting relevant parameters, the authors find that the synergy mechanism can be implemented and optimized. Through numerical example analysis, the authors confirmed the feasibility of the above analysis.

Originality/value

Big data analysis provides a kind of reality for the establishment of online SSC coordination mechanism. The establishment of an online supply chain coordination mechanism can effectively promote the efficient allocation of supplies and better meet consumers' needs.

中文翻译：

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了解大数据分析在协调电子零售服务供应链中的作用

目的

基于典型的服务供应链（SSC）结构，作者构建了网络零售SSC模型以探索供应链中的协调关系，大数据分析为建立协调机制提供了现实可能性。

设计/方法/方法

现阶段，电商企业尚未建立成熟的SSC体系，与供应链其他成员未实现良好协同，货源紧缺与快递物流企业压力较大并存。在网络购物市场需求不确定的情况下，作者采用报童模型，应用于运筹学，分析了SSC模型的协同机制。

发现

通过对网络零售SSC协调机制的分析和相关参数的调整，作者发现协同机制可以得到实施和优化。通过数值算例分析，作者证实了上述分析的可行性。

原创性/价值

大数据分析为建立在线SSC协调机制提供了一种现实。建立线上供应链协调机制，可以有效促进物资高效调配，更好地满足消费者需求。