[Mingli Lecture Hall 2022 Issue 32]

On June 6, [Mingli Lecture Hall 2022 Issue 32] was honored to invite Prof. Srinivas (Sri) Talluri from Michigan State University to bring you an academic report entitled "Multivariate Process Control Methods for Evaluating and Monitoring Distribution Network Efficiency".

Main report content of Prof. Srinivas: We propose a method utilizing a combination of nonparametric multivariate accumulation and control charts and data envelopment analysis 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 robust results in performance evaluation, monitoring, and improvement. Our approach contributes to the field of supply chain analytics as it can provide new insights and understanding of business performance based on operational research and statistical methods to leverage real-time and past data. At the same time, we demonstrate the application and success of our model on data collected by The Dow Chemical Company, a multinational vertically integrated chemical company.

Prof. Srinivas's wonderful report explained in simple language and colorful, showing the development status and latest research results of multivariable process control methods, involving many hot issues, which made the teachers and students present a lot, and hoped to carry out further research and communication with domestic teachers for many times.