GOALI: Process Control Approaches to Supply Chain Management in Semiconductor Manufacturing
Category
Published on
Abstract
The IREE travel supplement in support of CMMI-0432439 enabled Jay D. Schwartz (email: jayschwartz@asu.edu), currently a fourth-year Ph.D. chemical engineering student, to devote the 2007 spring semester working with Professor Manuel Ruiz Arahal and colleagues at the Department of Systems Engineering and Automation at the University of Seville. This international research experience was augmented by a week-long visit from Jays research advisor, Prof. Daniel E. Rivera, and the projects industrial GOALI liaison, Kirk D. Smith from Intel Corporation. The collaboration between the Control Systems Engineering Laboratory at Arizona State University and the Automatic Control group at the University of Seville resulting from this travel supplement has furthered the intellectual objectives of the project by stimulating a sustained level of interaction between the two research groups, expanding the research into new frontiers that would not have been attainable without the supplement, and enhancing our interaction with Intel researchers. The most significant research outcome is reflected in the submission of two manuscripts to date, which signify both research progress and continued collaboration between Arizona State, University of Seville, and Intel. The supplement helped fulfill the broader impacts of the project by providing Jay with an enriching professional and cultural experience. This experience went beyond how research is pursued in a foreign setting; it also reflected how researchers manage their personal and professional lives in ways that differ from those in the United States. This newfound perspective on managing professional relationships has dramatically changed Jays views on the best practices one should use to conduct research in a laboratory environment, teach students in a classroom, and work in a team setting
Bio
the Department of Chemical Engineering at Arizona State University. He is currently
working as a Graduate Research Assistant at Arizona State University, and recently
completed an internship at Intel Corporation. His most recent article, Optimal Tuning of
Process Control-based Decision Policies for Inventory Management in Supply Chains
(Automatica, 42, pages 1311-1320, 2006) was ranked as ScienceDirects Hottest Article
for the Decision Sciences category within the journal Automatica for the third quarter of
2006. His research interests include model predictive control, system identification, and
stochastic optimization as they relate to supply chain management.
Daniel E. Rivera received the B.S. degree from the University of Rochester (1982),
the M.S. degree from the University of Wisconsin-Madison (1984), and the Ph.D from
Caltech (1987), all in chemical engineering. He is an Associate Professor in the
Department of Chemical Engineering at Arizona State University. Prior to joining ASU
he was a member of the Control Systems Section of Shell Development Company in
Houston, Texas. His research interests span the topics of system identification, robust
process control, and applications of control engineering to problems in supply chain
management and behavioral health. Dr. Rivera is chair of the IEEE technical committee
on system identification and adaptive control, and is an Associate Editor for the IEEE
Transactions in Control Systems Technology and the IEEE Control Systems Magazine
Sponsored By
Cite this work
Researchers should cite this work as follows:
Jay D. Schwartz and Daniel E. Rivera, "GOALI: Process Control Approaches to Supply Chain Management in Semiconductor Manufacturing", Trip report presented at the NSF IREE 2007 Grantees Conference, October 30 - November 1, 2007, Purdue University, West Lafayette, Indiana-
(2009), "GOALI: Process Control Approaches to Supply Chain Management in Semiconductor Manufacturing," http://globalhub.org/resources/1029.