Masking the bullwhip effect in retail: the influence of data aggregation
Masking the bullwhip effect in retail: the influence of data aggregation
复制标题
掩盖零售业的牛鞭效应：数据聚合的影响
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Adriana Rossiter Hofer
中科院分区：
文献类型：
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作者：
Y. Jin;Brent D. Williams;M. Waller;Adriana Rossiter Hofer
目的 - 对供应链中不同节点的需求变异性放大或“斗牛效应”的准确性测量对于公司实现更有效的库存，生产和订购计划过程至关重要。倾向于掩盖零售行业的牛wip效应，本文的目的是凭经验研究不同的数据聚合模式是否影响其测量。设计/方法/方法 - 利用来自消费者包装制造商的三种产品类别的每周，产品级别的订单和销售数据，该研究使用分层线性建模来经验测试数据聚合对不同斗牛措施的影响作者的发现为沿着产品地点和临时尺寸汇总销售和订单数据的掩盖效果提供了强有力的支持，以及季节性对季节性的衰减影响测量...
Purpose – The accurate measurement of demand variability amplification across different nodes in the supply chain, or “bullwhip effect,” is critical for firms to achieve more efficient inventory, production, and ordering planning processes. Building on recent analytical research that suggests that data aggregation tends to mask the bullwhip effect in the retail industry, the purpose of this paper is to empirically investigate whether different patterns of data aggregation influence its measurement. Design/methodology/approach – Utilizing weekly, product-level order and sales data from three product categories of a consumer packaged goods manufacturer, the study uses hierarchical linear modeling to empirically test the effects of data aggregation on different measures of bullwhip. Findings – The authors findings lend strong support to the masking effect of aggregating sales and order data along product-location and temporal dimensions, as well as the dampening effect of seasonality on the measurement of th...