Evaluating and monitoring distribution network efficiency with multivariate process control methods
提出一种结合非参数多元累积和控制图与数据包络分析的方法，同时考虑多个绩效因素及其相互关系，用于评估和监控分销网络绩效，并基于陶氏化学公司数据展示应用。
In this paper, we present a methodology, by utilising a nonparametric multivariate cumulative sum control chart and data envelopment analysis in tandem, to evaluate and monitor distribution network performance by simultaneously considering multiple performance factors and their interrelationships. While these methods were previously applied individually, we demonstrate that their combined use can provide more powerful results in performance assessment, monitoring and improvement. Our approach contributes to the domain of supply chain analytics and risk management as it can provide new insights into network performance based on real time and past data. We present the application of our approach on data obtained from The Dow Chemical Company.