时间：2018年5月28日 上午11:00
地点：玉泉校区 教一411会议室
主持人：雷勇 教授
主题：Recommendation and Predictive Offloading of Computation Services in Smart Manufacturing
讲座内容简介：
Traditional smart manufacturing emphasizes data-driven decision making for individual systems. In a smart manufacturing network of connected manufacturing systems, computation services are widely used to transform data sets to decisions that can adaptively improve productivity, quality and flexibility of manufacturing. Such a smart manufacturing network poses significant challenges in communication, computation and control. Motivated by these challenges, this presentation will mainly discuss how to recommend computation pipelines to identify the best method option in manufacturing. A predictive offloading methodology is also proposed to ensure the reliability and responsiveness of the computation services based ubiquitous computation resources. Manufacturing case studies were performed to validate the proposed methodologies.
主讲人简介：
Dr. Ran Jin is an assistant professor and the Director of Laboratory of Data Science and Visualization at the Grado Department of Industrial and Systems Engineering at Virginia Tech. He received his Ph.D. degree in Industrial Engineering from Georgia Tech, Atlanta, his Master’s degrees in Industrial Engineering and in Statistics, both from the University of Michigan, Ann Arbor, and his bachelor’s degree in Electronic Engineering from Tsinghua University, Beijing. His research focuses on Data Fusion in Smart Manufacturing, including the integration of different types of data sets (e.g., ensemble models), variables (e.g., quantitative and qualitative models), and information (e.g., product quality and equipment reliability) for synergistically modeling, monitoring and control of manufacturing processes and systems. He is currently serving as an Associate Editor for IISE Transactions, Focus Issue on Design and Manufacturing. For more information about Dr. Jin, please visit: https://ise.vt.edu/ran-jin