Se agradece difusión ------------------------ Conferencia/Seminario
Multivariate Process Control Methods for Evaluating and Monitoring Distribution Network Efficiency
A cargo de: Prof. Srinivas Talluri, Michigan State University (Estados Unidos),
_Miércoles 26 de Octubre de 2022, 16:00 hs_. en el Salón de Actos (1º piso – Cuerpo central – Av. Alem 1253).
Inscripciones : https://forms.gle/brZwNyBPgW7LzVKu7 ------------------ Abstract
In this paper we present a methodology, by utilizing a nonparametric multivariate cumulative sum control chart and data envelopment analysis in tandem, to evaluate and monitor distribution network performance by simultaneously considering multiple performance factors and their interrelationships. While these methods were previously applied individually, we demonstrate that their combined use can provide more powerful results in performance assessment, monitoring and improvement. Our approach contributes to the domain of supply chain analytics as it can provide new insights and understanding of business performance based on operations research and statistical methods to utilize real-time and past data. We demonstrate the application of our models on data gathered from The Dow Chemical Company, which is a multi-national vertically integrated chemical corporation.
Expositor: Sri Talluri earned the B. S. degree in mechanical engineering in India in 1989, the M. S. degree in industrial and manufacturing systems engineering and the Ph. D. degree in production and operations management from the University of Texas at Arlington in 1992 and 1996, respectively. He is the Hoagland-Metzler Endowed Professor and Professor of Operations and Supply Chain Management at Michigan State University. His research interests are in the areas of supply risk, buyer-supplier relationships and supply contracts, sustainability in supply chains, technology management, and performance evaluation. Sri's methodological expertise lies in the areas of optimization methods (deterministic and stochastic models), game theory, empirical methods (statistical models), and data envelopment analysis. He has more than 100 journal publications in a variety of top-tier academic journals including the IIE Transactions, Decision Sciences, Production and Operations Management Journal, Journal of Operations Management, International Journal of Production Research, European Journal of Operational Research, IEEE Transactions on Engineering Management, and has presented papers in various national and international conferences. Sri has over 12,000 citations of his work and an h-index of 52.
In journal articles published in 2013, 2015, and 2020, Sri was ranked as a top 20 (rank # 17) researcher worldwide in terms of the impact of his work in the domain of data envelopment analysis (Liu, J.S., Lu, Y. Y., Lu, W.M., and Lin, B.J. Data envelopment analysis 1978-2010: A citation-based literature survey, OMEGA, 41, pp. 3-15, 2013), top 1% researcher worldwide in the area of operations management based on publications in elite journals (Shang, G., Saladin, B., Fry, T., and Donohue, J. Twenty-Six Years of Operations Management Research (1985 - 2010): Authorship Patterns and Research Constituents in Eleven Top Rated Journals, International Journal of Production Research, 53(20), pp. 6161 - 6197, 2015), and top 1% management scholar globally based on citations and impact in a study conducted by Stanford University researchers (Bass, J., Boyack, K., and Ioannids, J. P. A. Updated Science-Wide Author Databases of Standardized Citation Indicators, PLOS Journal, 2020, DOI: 10.17632/btchxktzyw.2), respectively. Sri has delivered invited presentations at various countries that include Australia, United Kingdom, Spain, India, France, Portugal, United Arab Emirates, China, Germany, Denmark, Belgium, Italy, Peru, New Zealand, Finland, and Switzerland. His research is funded by companies and organizations such as Dow Chemical, Lear Corporation, CIBER, McNeil Healthcare, and Center for Advanced Purchasing Studies (CAPS). His consulting experience includes a variety of companies in the area of supply chain optimization, which include SAP, Chrysler, ArcBest, Johnson and Johnson, Accenture, and Dash Optimization.
Dr. Talluri was designated as a Fellow of the Decision Sciences Institute (DSI) in 2019. He is one of the 116 fellows of DSI over the 50-year rich history of the organization. Sri received the 2021 IEOM Society's Distinguished Professor Award in recognition and appreciation of his contributions to industrial engineering and operations management profession. He was also a Fulbright Distinguished Chair in Business and Economics for the year 2016-2017, and currently holds the position of Honorary Professorial Fellow at the University of Melbourne, Australia. He was the recipient of the Dean's Research Excellence Award in 2019, and John D. and Dortha J. Withrow Endowed Emerging Scholar Award for outstanding scholarly contributions in 2004. Sri currently serves as the Co-Editor in Chief of the Decision Sciences Journal. He was the past Department Editor at the IEEE Transactions on Engineering Management and a member of various editorial boards at top-tier journals. He served as the Conference Chair for the 47th Annual Decision Sciences Institute Conference, Track Chair for Supply Chain Management at the 14th and 16th Annual Production and Operations Management Conferences, and the Track Chair for Sourcing Management for the 18th Annual POMS Conference. He has also served as a plenary and keynote speaker at several international conferences. In addition, he was the Associate Executive Director for POMS from 2006-2009. He is a member of honor societies, such as Alpha Pi Mu & Phi Kappa Phi, and professional organizations, which include the DSI, the Institute for Operations Research and Management Sciences (INFORMS), and the Production and Operations Management Society (POMS).
Professor Talluri has more than 20 years of teaching experience and has taught a variety of graduate and undergraduate courses in the areas of supply chain management, operations management, operations research/management science, and statistics.
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