The IMS Center Publishes Intelligent Maintenance Review Paper Dedicated to Prof. S. M. Wu and Dr. Dick Kegg
The Journal of Manufacturing Science and Engineering has published a review paper on Intelligent Maintenance Systems and Predictive Manufacturing, composed by IMS Center Directors Professor Jay Lee and Professor Jun Ni, as well as IMS researchers Jaskaran SinghBaoyang JiangMoslem Azamfar and Jianshe Feng. This paper seeks to provide the current state-of-the-art and future directions in intelligent maintenance and smart manufacturing.
This paper can be accessed on the American Society of Mechanical Engineers website here.
The abstract for this paper can be read below.
With continued global market growth and an increasingly competitive environment, the manufacturing industry is facing challenges and desires to seek continuous improvement. This effect is forcing manufacturers to squeeze every asset for maximum value and thereby calls for high equipment effectiveness, and at the same time flexible and resilient manufacturing systems. Maintenance operations are essential to modern manufacturing systems in terms of minimizing unplanned downtime, assuring product quality, reducing customer dissatisfaction, and maintaining advantages and competitiveness edge in the market. It has a long history that manufacturers struggle to find balanced maintenance strategies without significantly compromising system reliability or productivity. Intelligent Maintenance Systems are designed to provide decision support tools to optimize maintenance operations. Intelligent prognostic and health management tools are imperative to identify effective, reliable, and cost-saving maintenance strategies to ensure consistent production with minimized unplanned downtime. This article aims to present a comprehensive review of the recent efforts and advances in prominent methods for maintenance in manufacturing industries over the last decades, identifying the existing research challenges, and outlining directions for future research.
Widely respected and renowned for his expert knowledge of machine tools, serving as Vice President of Technology and Manufacturing Development at Cincinnati Milacron (where he started as a co-op), as well as for being the very first person to receive a PhD in mechanical engineering from the University of Cincinnati, Dr. Dick Kegg was also a caring, giving, and ideal mentor for both the directors and the students of the IMS Center. A fixture at all of the Center's events, Dr. Kegg always provided impactful feedback, actionable guidance, and confident wisdom, all of which made the Center one of the most successful. Without Dr. Kegg's involvement, the Center would not be what it is today.
Dr. Sam Wu joined the U-M faculty in 1987 as the Reid and Polly Anderson Professor of Manufacturing, a position he held until his death in 1992. He was one of the first to apply statistical methods to manufacturing science and engineering. He developed a theory known as dynamic data systems and successfully applied it to diverse engineering--and even non-engineering--fields, including manufacturing, robotics, paper making, agriculture, nuclear reactors, medical signal processing and earthquake prediction.
Wu graduated from Jiao-Tong University in Shanghai and went on to earn an MBA from the Wharton School, University of Pennsylvania, and a PhD in mechanical engineering from the University of Wisconsin, Madison. He taught there for more than 25 years before coming to UM.
To see more of our publications, visit our publication list here.
