The Internet of Things: Reducing the Bullwhip Effect in Hospital Supply Chains
研究通过物联网追踪医疗设备运行时间，利用两阶段计量模型和反事实分析，发现共享使用信号能提高预测精度、降低订单规模并减少牛鞭效应，且边缘物联网网络效果更优。
ABSTRACT We investigate how tracking the running times of durable medical equipment connected to the Internet of Things (IoT) can be used to estimate the demand for MRO products and consumable supplies (MRO & CS) and lessen the Bullwhip Effect in healthcare supply chains (HSCs). By analyzing a unique data set consisting of orders for medical supplies in a multi‐echelon HSC spanning 12 quarters (3 years), using two‐stage econometric modeling and counterfactual analysis methods, we find that the sharing of these usage and consumption signals significantly improves forecast accuracy, lowers order size, and reduces the bullwhip effects of MRO & CS. We find that the supply chain benefits of tracking equipment running time are amplified by the scope of the relational exchanges between supply chain partners. We analyze the two dominant IoT networking paradigms—Edge and cloud IoT—and find that the benefits of signal sharing are significantly higher under the Edge IoT network. We also find that the tracking of medical equipment has second‐order effects that extend to products whose consumption is correlated with the tracked products. Our research makes important theoretical contributions to the HSC and technology management literatures and provides valuable insights into how emergent technologies can be used to address the distinctive challenges of healthcare supply chains.