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12月29日工业工程与管理系——Data Fusion for Quality Improvements in Complex Systems

讲座题目Data Fusion for Quality Improvements in Complex Systems

报告人Jionghua (Judy) Jin

时 间1229日(周三) 下午2:00--3:30
地 点:方正大厦608会议室
主持人侍乐媛(教授)

报告内容摘要

Our current data rich environment provides unprecedented opportunities and research challenges for improving complex system operations both in manufacturing and in service industries. The development of a novel data fusion methodology is currently very relevant, and will provide a long lasting future impact. Efforts in data fusion research have significantly advanced the development of methodology in areas like rapid change detection, root cause diagnostics, and system control. Data fusion, through integrating engineering domain knowledge with data analysis techniques from advanced statistics, signal processing, decision making, and system control, represents one of the frontiers in quality improvement research for complex systems.
    This presentation will provide an overview of ongoing data fusion research for manufacturing system improvement and its extension to service industry applications. The basic concepts in data fusion research will be discussed, with emphasis placed on promoting the integration of disparate methodologies into a cohesive entity to enable effective decision-making for system operations.

报告人简介

Jionghua (Judy) Jin is currently an associate professor in the Department of Industrial and Operations Engineering at the University of Michigan. She had been worked as an assistance professor in the Department of Systems and Industrial Engineering at the University of Arizona during 2000~2005.
    Dr. Jin’s research interests focus on data fusion for complex system operations with the goal of developing methodologies for system modeling, condition monitoring, fault diagnosis, process control, knowledge discovery and decision making. Her research emphasizes a multidisciplinary approach by integrating applied statistics, signal processing, reliability engineering, system control, and decision-making theory. Over the years, she has been working on various research projects with broad applications both in manufacturing and in service industries, such as semiconductor manufacturing, assembly, stamping, transportation, and telecommunication. Her research has being sponsored by the National Science Foundation, the U.S. Air Force Office of Scientific Research, the Society of Manufacturing Engineers (SME), the US-Department of Transportation, the Arizona Department of Transportation,
the Arizona State Foundation, the US-Department of Energy, the Michigan Economic Development Corporations, and various industrial support collaborations including General Motors, Ford Motor Company, Caterpillar Inc., Daimler Chrysler Corp, Global Solar Energy Inc., and OG Technologies, etc.
    She is currently serving as the elected Vice President of Institute for Operations Research and the Management Sciences (INFORMS) for International Activities. She also served as the elected President of Quality Control & Reliability Engineering Division of Institute of Industrial Engineers (IIE) in 2007, and the Chairperson of the Quality, Statistics, and Reliability (QSR) Subdivision of INFORMS in 2006. She is currently serving as an associate editor for Technometrics, IIE Transactions on Quality and Reliability, and Journal of the Chinese Institute of Industrial Engineers. She has received a number of awards including the NSF CAREER Award in 2002, the Presidential Early Career Awards for Scientists and Engineers (PECASE) in 2004, the Excellence in the Student Interface Awards from the University of Arizona in 2001; fseven Best Paper Awards from ASME in 2000, IIE in 2005 and 2006, and IERC in 2006~2009, and the Forging Achievement Awards from the Forging Industry Educational and Research Foundation in 2007. Dr. Jin is a member of ASME, ASQC, IEEE, IIE, INFORMS , and SME.