连锁便利店分档研究

A Study on Chaining Convenience Stores

为了了解连锁便利店的经营状况,为企业制定有针对性的决策提供依据,论文通过基于熵权的TOPSIS法和有序样品聚类,对某连锁品牌150家门店的经营能力进行综合排序、分级,最后对分出的等级进行决策树预测。结果该连锁便利店可划分为5个等级,并构建出包含4个节点的决策树模型,优店、较优店、良店、差店,决策树模型对其总体预测准确率为91.11%。结论是在综合考虑便利店的运营能力和稳定性的基础上,建立了一套对连锁便利店全面的合理性评价细则,可帮助决策者有效洞察企业经营状况,为国内连锁便利店运营研究提供一套崭新的理念与可借鉴的框架。

In order to understand the operating conditions of chain convenience stores and provide a basis for companies to make targeted decisions,the paper uses the entropy-based TOPSIS method and ordered sample clustering to comprehensively sort the operating capabilities of a chain of 150 stores.,Grade,and finally make a decision tree prediction on the grades.Results The chain convenience store can be divided into 5 levels,and a decision tree model consisting of 4 nodes,such as excellent store,better store,good store,and poor store,is constructed.The overall prediction accuracy of the decision tree model is 91.11%.The conclusion is that a comprehensive set of rationality evaluation rules for chain convenience stores has been established on the basis of comprehensive consideration of the operation capacity and stability of convenience stores,which can help policy makers to effectively understand the operation status of enterprises and provide research for the operation of domestic convenience chain stores.A new set of ideas and a framework to learn from.