] > 2008 Spring Friday February 8 CANCELLED Kurt Anstreicher Henry B. Tippie Research Professor of Management Sciences http://www.biz.uiowa.edu/faculty/results.cfm?id=119 <p>Kurt M. Anstreicher is the Tippie Research Professor and Department Chair of Management Sciences at the University of Iowa Tippie College of Business. Professor Anstreicher received his Ph.D. from the Department of Operations Research at Stanford University in 1983, under the direction of George Dantzig. He was an assistant and associate professor of Operations Research at Yale University from 1982-1991, and went to the University of Iowa as a professor of Management Sciences in 1991. He was appointed Daly Professor in 1998, Tippie Research Professor in 2002, and Department Chair in 2003. He has twice (in 1989-1990, and 1996-97) been a Research Fellow at the Center for Operations Research and Econometrics (CORE), in Louvain-la-Neuve, Belgium. </p> <p> Professor Anstreicher has authored approximately 50 journal articles, mainly in the areas of interior-point algorithms, semidefinite programming and nonlinear discrete optimization. He authored the chapter on Potential Reduction Algorithms for the text <em>Interior Point Methods of Mathematical Programming</em> (T. Terlaky, ed., Kluwer, 1996), and for the <em>Encyclopedia of Optimization</em> (C. Floudas and P. Pardalos, eds, Kluwer, 2001) wrote the introduction to the section on Interior Point Algorithms for <em>Linear Programming</em> and the entry for Karmarkar's algorithm. In 2002 he was awarded (joint with N. Brixius, J.-P. Goux, and J. Linderoth) the SIAM Activity Group on Optimization (SIAG/OPT) Prize for the best paper in optimization in 2000-2002. </p> <p> Professor Anstreicher was a co-organizer (with N. Megiddo and M. Wright) of the Second Asilomar Workshop on Progress in Mathematical Programming in 1990. He was the organizer of the Faculty Research Seminar on Optimization in Theory and Practice at the University of Iowa's Obermann Center for Advanced Studies in 1994, co-organizer (with H. Wolkowicz, P. Pardalos, F. Rendl and T. Vannelli) of the Fields Institute Workshop on Novel Approaches to Hard Discrete Optimization in 2001, and coorganizer (with C. Helmberg and A. Martin) of the workshop on Integer Programming and Continuous Optimization in Chemnitz, Germany in 2005. He is the co-chair (with S. Leyffer) of the 2008 SIAM Optimization Conference. Professor Anstreicher was an associate editor of the <em>SIAM Journal on Optimization</em> from 1991-1997. He served as co-editor of <em>Mathematical Programming Series A</em> from 1999-2005, and was appointed editor-in-chief of <em>MPA</em> in 2007. He was a member of the ORSA (now INFORMS) Lanchester Prize committee in 1991 and the Mathematical Programming Society (MPS) Tucker Prize committee in 1997/2000, and is currently a member of the INFORMS Von Neumann Prize committee. He served on the elected Council of the MPS from 1997 to 2000, and was the elected Chair of SIAG/OPT from 2004 to 2007.</p> University of Iowa, Henry B. Tippie College of Business, Management Sciences http://www.uiowa.edu/ spring2008/Anstreicher.jpg Computable Representations for Convex Hulls of Low-dimensional Quadratic Forms spring2008/Anstreicher.html http://www.engr.wisc.edu/ie/colloquia/spring2008/Anstreicher.pdf 2008 Spring Friday March 7 2:30 p.m. 1153 Mechanical Engineering Building Debra Elkins Associate Predictive Modeler Dr. Debra Elkins received her Master's and Ph.D. in Operations Research from Texas A&M, after which she worked seven years for the Research and Development Center of General Motors. While there she worked on a number of practical problems in the application of risk analysis, ranging from portfolio analysis selection to supply chain design to resource allocation. Since summer 2007 she has worked for Allstate Insurance Quantitative Research and Analytics, where she has served as the team lead in developing risk pricing models for personal automotive insurance. She has authored numerous journal publications, and her current interests include the development and deployment of quantitative risk models, financial analysis methods, and decision support tools for actuarial pricing and reserving. Quantitative Research and Analytics, Allstate Insurance Modeling Automotive Paint Shop Fire Risk & Implications for Broader Manufacturing & Supply Chain Risk Analysis spring2008/Elkins.html 2008 Spring Friday March 28 2:30 p.m. 1153 Mechanical Engineering Building Robin L. Dillon-Merrill Assistant Professor http://faculty.msb.edu/rld9/ McDonough School of Business, Georgetown University http://msb.georgetown.edu/ spring2008/Dillon.gif Risk-Based Decision Making for Terrorism Applications http://www.engr.wisc.edu/ie/colloquia/spring2008/Dillon.html This paper by Robin L. Dillon and Robert M. Liebe describes the Antiterrorism Risk-Based Decision Aid (ARDA), a risk-based decision making approach for prioritizing antiterrorism measures. The ARDA model was developed as part of a larger effort to examine if the United States Navy is investing in protecting their assets most at risk and whether or not they are using the most effective antiterrorism alternatives to reduce the risk to their facilities and warfighting assets. With ARDA, we examined thousands of scenarios comprised of 15 attack modes against 160 facility types on two installations and hundreds of portfolios of 22 mitigation alternatives. ARDA uses multi-attribute utility theory to solve some of the commonly identified challenges in security risk analysis. This paper describes the process and documents lessons learned from applying the ARDA model for this application. 2008 Spring Friday April 11 2:30 p.m. 1153 Mechanical Engineering Building Ann Bisantz Associate Professor http://www.eng.buffalo.edu/~bisantz/ Department of Industrial Engineering, SUNY Buffalo http://www.buffalo.edu/ Assessing the Impact of Computerization on Work Practice: Information Technology in Emergency Departments http://www.engr.wisc.edu/ie/colloquia/spring2008/Bisantz.html Today's emergency departments (ED) could not function without a patient tracking system of some kind, manual or electronic. Manual patient tracking systems such as "whiteboards" are large, dry erase, manually updated status boards used as information tracking devices in most EDs. Although it is expected that manual whiteboard systems will completely transition to electronic patient tracking systems with increasing availability of technological solutions, it is not clear if these technological solutions will sufficiently address the information tracking needs of providers. This paper describes part of a study which is documenting the transition from a manual status board to electronic technology in two different emergency departments. The impact of technology implementation on existing work practices, and insights on design of information technology for safety critical healthcare system are described. Additionally, this study documents the changes in the use of a manual whiteboard versus an electronic patient tracking system in an ED to compare types of information and meanings of the represented information. Results show that both systems were used to represent information serving a variety of functional roles. Differences in functional uses of the systems and the consequences of these changes are discussed. 2008 Spring Friday April 25 2:30 p.m. 1153 Mechanical Engineering Building Mark Kirschbaum Senior Vice President, Quality and Information http://www.uwhealth.org/aboutuwhealth/markkirschbaum/11068 Mark S. Kirschbaum joined UW Hospital and Clinics in 2006, initially as vice president for quality and satisfaction. His previous experience in management, education and clinical positions included four years as director of care improvement at Abbott Northwestern Hospital, and two years as executive director of quality measurement and analysis at Allina Hospitals and Clinics, both in Minnesota. Kirschbaum began his career as a pediatric intensive care nurse and subsequently held positions as director of nursing education, director of nursing, and vice president for the Children's Hospital, Minneapolis and St. Paul, for seventeen years.<p />Kirschbaum is a summa cum laude graduate of the College of St. Thomas in St. Paul, Minnesota, where he received a BA in nursing. He later earned a MS in nursing sciences, pediatric nursing, from the University of Illinois, and a PhD in nursing from the University of Minnesota. He has held teaching posts at the University of Minnesota School of Nursing and the University of St. Thomas Center for Health and Medical Affairs, and has numerous professional presentations and publications to his credit. University of Wisconsin Hospital and Clinics http://www.uwhealth.org/ Implementing an Electronic Health Record Across the UW Health Enterprise http://www.engr.wisc.edu/ie/colloquia/spring2008/Kirschbaum.html 2008 Spring Friday May 2 2:00 p.m. 3126 Mechanical Engineering Building (note room change) Cerry Klein Program Director, Service Enterprise Engineering http://www.nsf.gov/staff/staff_bio.jsp?lan=cklein&org=NSF Cerry Klein is the Program Director for the Service Enterprise Engineering and Manufacturing Enterprise Systems programs at the National Science Foundation. He is also the Lapierre Professor and past chair of the Department of Industrial and Manufacturing Systems Engineering at the University of Missouri. Dr. Klein’s research interests include health care, logistics, entrepreneurship, optimization, and decision making. He has received over $3.5 million in funding from various sources and has published over 165 technical publications. Dr. Klein is a graduate of Purdue University with his Ph.D. in Industrial Engineering and an MS in Mathematics. He was also an Office of Naval Research Young Investigator and has received numerous teaching awards. Manufacturing Enterprise Systems, National Science Foundation http://www.nsf.gov/funding//pgm_summ.jsp?pims_id=13342 Service and Manufacturing at the National Science Foundation http://www.engr.wisc.edu/ie/colloquia/spring2008/Klein.html Service now accounts for approximately 80% of the economy and manufacturing has held steady at 20%. Research in understanding and promoting these two key areas is essential to the continued growth of our economy and the understanding of how these sectors distinctly operate, interact and compliment each other. This presentation will discuss the efforts and funding opportunities at the National Science Foundation in these areas. Additionally, as part of the presentation an open discussion related to the future of manufacturing and service will be held with desired input from those attending.