|Fall 2007 UMASS
Operations Research / Management Science Seminar Series
Date: Friday, November 16, 2007
Time: 11:00 AM
Location: Isenberg School of Management, Room 112
|Speaker: Professor Sundar
Department of Mechanical And Industrial Engineering
University of Massachusetts ay Amherst
|Biography: Professor Sundar Krishnamurty
received his BS degree in Civil Engineering from the Indian Institute
of Technology, Kanpur, Indian, in 1982, his MS degree in Civil
Engineering from the University of Pennsylvania, Philadelphia, in 1984,
and his PhD degree in Mechanical Engineering from the University of
Wisconsin, Madison, in 1989.
Professor Krishnamurty’s research is in the field of mechanical design and he has significant experience conducting funded research projects in a wide-range of fundamental and applied research topics such as decision-based design, assistive technology, visualization and spatial reasoning in engineering kinematics, multimedia engineering educational tutors, and information technology enabled design and realization. He is an active member of the Decision-based Design Community and an invited contributor to the multi-authored textbook on Decision-based Design. Dr. Krishnamurty is currently a leading member of the NSF-sponsored Industry/University Cooperative Research Center (I/UCRC) for the e-Design and Realization of Engineering Products & Systems. He is also an active member of the UMass Assistive Technology Group and his recent inventions (portable seat belt and deep pressure vest) have been featured in several regional, national, and international media outlets, including the Daily Hampshire Gazette, the Boston Globe, USA Today, and CNN.
|TITLE: Decision Model Development
in Engineering Design
|Abstract: The study of engineering design
as an iterative decision-making procedure in recent years has led to
utilization of the concepts from decision analysis to solve engineering
design problems. Decision analysis principles provide valuable insights
in advancing the state of knowledge on rational design decisions in
engineering design and enable a better understanding of their
consequences from an overall design perspective. From a practical point
of view, decision-based design offers a formal strategy to reduce the
multiple attributes in an engineering design problem to a single
overall utility function in a probabilistic sense, which reflects the
designer’s intent and preferences under conditions of uncertainty.
In this talk, we will introduce a trade-off based robust design approach and highlight a fundamental dilemma to engineering modeling, which is that building a perfect model requires perfect information, or clairvoyance, while perfect information cannot be obtained in the absence of a perfect model. We will detail a preference-based modeling approach that can facilitate the trade-off between the quest for higher resolution models and the cost of gathering new information to refine model’s fidelity, from the standpoint of expected payoffs of anticipated design decisions. We will conclude with some highlights from our research on ontologies for supporting design optimization and from our recent assistive technology design innovations of the portable seatbelt and therapeutic deep-pressure vest.
|This series is organized by the
UMASS Amherst INFORMS Student Chapter. Support for this series is
provided by the Isenberg School of Management, the Department of
Finance and Operations Management, INFORMS, and the John F. Smith
For questions, please contact the INFORMS Student Chapter Speaker Series Coordinator, Ms. Trisha Woolley, email@example.com or the Faculty Advisor, Professor Anna Nagurney.