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Plenary & Keynote Speakers

Plenary Speakers

Christopher Tang photo

Christopher Tang

UCLA University Distinguished Professor
Edward Carter Chair in Business Administration, UCLA Anderson School

Sunday Morning, June 17

TICC, 3rd Floor, Banquet/Plenary Room

Making Supply Chain Transparent for a Better World: Information and Analysis

Companies are gaining more supply chain visibility to reduce their supply chain risks, but few are disclosing what they know with the public. Should a firm disclose its supply chain information to the public? What are the risks and opportunities? I plan to present some recent research and case-based studies to illustrate how supply chain transparency can improve our world: planet, people and profit.

Introductions will be made by Nicholas Hall, Ohio State University & INFORMS President; Grace Lin, Asia University & General Chair

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John A. Buzacott

Emeritus Professor
York University

Monday Morning, June 18

TICC, 3rd Floor, Banquet/Plenary Room

Improving Manufacturing Systems by Understanding Variability

Henry Ford introduced the moving belt assembly line just over a hundred years ago. For the next fifty years the preferred way of organizing manufacture was to have tightly coupled work stations linked by a material handling system. However, gradually it became apparent that neither the moving belt assembly line, or the traditional job shop it replaced, were ideal. Since then there have been major attempts to come up other ways of organizing manufacture. Key to understanding why these developments occurred is to recognize that they attempt to overcome the impact of variability and disturbances on productivity and quality. As each new development has been tried, new insights into the nature of the variability that limits its performance have arisen and this in turn has led to new system designs.

In this talk I will outline these developments and illustrate the way in which formal system models augment understanding of what limits their performance. I begin by considering the advantages of the moving belt line. I address what happens when the line consists of machines rather than people. Next, I consider group technology, extending the line concept to multi product situations. Alternatively, job shops can be improved, leading to flexible manufacturing systems (FMS). But FMS did not live up to their promise and I show why. Quality became a big issue in the 1980s leading to new system designs. However, these revealed the significance of differences between worker performance, leading to new challenges in system design and control.

Introduction will be made by Kathy E. Stecke, University of Texas at Dallas, Program Chair

Keynote Speakers

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John Birge

University of Chicago, Booth School of Business

Sunday Afternoon, June 17

TICC, 1st Floor, Room 101 C/D

The Value of OR in Network Analysis


Multiple application domains from biological to social
sciences and humanities have gained new insights through network
analysis of relationships among individuals and groups. Networks have
also formed a core modeling and computational platform for operations
research (OR), but OR’s role in the rapid expansion of interest in
biological, physical, and social networks has been limited. Some of
these limitations result from a focus on purely descriptive
characteristics and common assumptions of static or exogenous network
configurations. OR, however, can play a prominent role in extending
network analysis beyond these initial descriptors by contributing to
understanding of network formation and evolution and by increasing value
for networked agents through improved decision making. This talk will
discuss these opportunities for OR and illustrate the potential through
examples in energy markets, supply chains, and matching market.

Introduction will be made by Grace Lin, Asia University, General Chair

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Richard C. Larson

Institute for Data, Systems, and Society
Massachusetts Institute of Technology

Sunday Afternoon, June 17

TICC, 1st Floor, Room 103

The Services Industries:  Some Insights Provided by Operations Research (video)

Over the past 100+ years, economies of the developed world have moved seismically from agriculture (over 50% of U.S. employment in 1900), to manufacturing and now to services (typically 80% of current jobs). Operations Research (O.R.), often aided by IT and data analytics, has played and continues to play a vital role in policy and decision making in services. Presenting recent examples, we range broadly from (1) urban O.R., to (2) pandemic influenza and vaccine allocation modeling, to (3) modeling the process of science/engineering PhD production and academic employment; to (4) queue performance inference made possible by recent results in data analytics. Two illustrative surprises: (a) We identify and interpret the high “birth rate” of university professors, the numbers of PhD students produced over a faculty lifetime; (b) We present an improved vaccine allocation policy that would have reduced the number of USA influenza cases by 5,000,000 in 2009, the year of H1N1 flu pandemic. We conclude with a discussion of needs to erase traditional academic silos when addressing the services industries, as most real problems are difficult and multi-faceted, requiring inter-disciplinary if not trans-disciplinary approaches, not unlike the multi-person teams put together in the 1940’s by our O.R. founders.

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David D. Yao

Piyasombatkul Family Professor of Industrial Engineering and Operations Research
Columbia University

Sunday Afternoon, June 17

TICC, 1st Floor, Room 102

AI, Risk and Analytics – Rethinking SCM

How data and analytics will impact traditional OR/OM approaches to supply chain management? In particular, how integrating certain real-time control and hedging strategies into production planning can better mitigate the risk associated with demand uncertainty. Some general thoughts and ideas will be shared, along with an overview of some technical issues involved.

Introduction will be made by Chung-Yee Lee, HKUST, Program Chair

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Oleg Gusikhin

Ford Motor Company

Sunday Afternoon, June 17

TICC, 1st Floor, Room 101A/B

Smart Production of Smart Vehicles

Today the automotive industry is undergoing the most profound change since the invention of the moving assembly line. Connected, electric, and autonomous vehicles, new smart mobility business models, Internet of Things, Additive Manufacturing and Big Data are disruptive innovations that will create the opportunity and the need for industry transformation. In a series of recent announcements, Ford Motor Company outlined its strategy to become the world’s most trusted mobility company, building smart vehicles for a smart world and redesigning the company’s factories of the future. Data, analytics, AI and machine learning are at the forefront of this transformation. Specifically, the emerging application of connected vehicle analytics enables new vehicle features and services, such as mobility personalization, prognostics and ambient intelligence. Analytics are also fundamental in accelerating introduction of factory-of-the-future technologies and enabling a more efficient supply chain. This presentation will review examples of innovative applications that demonstrate the critical role of analytics in the automotive industry transformation.

Introduction will be made by Kathy E. Stecke, University of Texas at Dallas, Program Chair

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Guillermo Gallego

Crown Worldwide Professor

Monday Afternoon, June 18

TICC, 1st Floor, Room 101 A/B

Asymptotically Optimal Policies for Multi-Item Joint Inventory and Dynamic Pricing Control with Stockout-based Substitution 

We propose asymptotically optimal policies for a joint inventory and price control problem where the seller replenishes substitute products only once and dynamically controls the prices during the selling season to maximize the total expected profit. Considering complexity of the problem especially when the problem size is large and there exists dynamic stockout-based substitution by customers, we propose an efficient nonlinear program to determine the prices and a linear complementarity problem to decide on inventory levels reflecting consumer-driven substitution for given prices. We also show that a simple heuristic to dynamically update prices can further improve expected profits.

Introduction will be made by Kathy E. Stecke, University of Texas at Dallas, Program Chair

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Radhika Kulkarni

VP, Advanced Analytics R&D
SAS Institute Inc.

Monday Afternoon, June 18

TICC, 1st Floor, Room 102

Machine Learning, Artificial Intelligence and Optimization: Opportunities for Inter-Disciplinary Innovation

Machine learning tools and AI platforms have become prolific in many industries. Applications range from health care to financial applications to manufacturing industries. In the world of big data and ML / AI tools, there are numerous opportunities for application of optimization techniques. Large scale implementation of machine learning tools in artificial intelligence platforms require automation at several levels – increasing productivity along the entire analytics lifecycle as well as automated model selection to improve predictive models. In many of these problems, optimization techniques play an important role in finding solutions as well as improving performance.

This presentation will provide several examples that describe some of these innovations in various industries as well as discuss trends and upcoming challenges for future research.

Introduction will be made by Frieda Granot, Sauder School of Business, UBC, Canada, Sponsored Sessions Chair

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Shmuel S. Oren

Earl J. Isaac Chair Professor, Department of Industrial Engineering and Operations Research
UC Berkeley

Monday Afternoon, June 18

TICC, 1st Floor, Room 101 C/D

Smart Markets for a Smart Electricity Grid

Socio economic forces, development in generation technologies and environmental considerations have led to restructuring of the electric power systems in part of the USA and in many systems worldwide, transforming them from vertically integrated regulated monopolies to competitive market based systems. From a supply chain perspective competitive electricity markets represent, perhaps, the most challenging supply chain. The commodity is non-storable; demand is uncertain and highly correlated with weather, all the demand must be satisfied instantaneously with a high level of reliability (one day in ten years criteria for involuntary load curtailment). In addition service is provided over a network that is prone to congestion, flows over transmission lines cannot be directly controlled as in a transportation system (flows follow Kirchhoff’s laws) and the market is encumbered by numerous externalities and market power. In spite of such obstacles there has been fascinating developments in the design and operations of competitive electricity markets over the last fifteen years through the use of state of the art optimization tools and economic principles. This talk will describe some of the key challenges in designing and operating competitive electricity markets. I will review the basic elements and alternative approaches adopted in different systems and discuss what we have learned so far in this area. I will also discuss new challenges and opportunities due to massive integration of renewable resources, proliferation of smart grid technologies and electrification of the transportation sector.

Introduction will be made by Chung-Yee Lee, HKUST, Program Chair

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Lam Khin Yong

Vice President (Research), NTU-Nanyang Technological University, Singapore

Monday Afternoon, June 18

TICC, 1st Floor, Room 103

The Entrepreneurial University: Integrating Knowledge and Innovation for Impact

Over the past decade, the intensifying societal demand for advanced knowledge and innovation has led to the unprecedented growth of new networks between industry, academics and public agencies. This trend continues unabated as the pursuit of economic competitiveness and the need to alleviate society’s emerging challenges grows. As such, how can the university further mobilise key resources, networks and support to optimize the growth of impact pathways and corridors of innovation? What are the external determinants that actively shape the nature and structure of these collaborations and innovation eco-systems?

This presentation seeks to undertake an assessment of the organisational patterns and the conditions that play an important role in galvanizing effective and rapid knowledge flows to stimulate economically and societally useful innovations. Drawing from examples at Nanyang Technological University, the presentation shall provide models of successful industry-academia-public agency interconnections that have served to create skills, knowledge and innovations of industrial and societal relevance.

Introduction will be made by Grace Lin, Asia University, General Chair

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Edward H. Kaplan

William N. and Marie A. Beach Professor of Operations Research, Chemical & Environmental Engineering & Public Health
Yale University

Tuesday Morning, June 19

TICC, 1st Floor, Room 101A

Operations Research and Public Health

According to the U.S. National Academy of Medicine, the mission of public health is to “…fulfill society’s interest in assuring conditions in which people can be healthy.” Major public health activities include disease surveillance and environmental risk assessment to identify population health problems and priorities; the design and delivery of health promotion and disease prevention services; and the evaluation of public health programs. Both the epidemiological science underlying public health interventions and the day-to-day operations of public health services present exciting opportunities for the application of operations research and management. This talk will illustrate applications of operations research to public health problems, with results to the benefit of us all.

Introduction will be made by Kathy E. Stecke, University of Texas at Dallas, Program Chair

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San-Cheng (Simon) Chang

Taiwan Mobile Foundation

Tuesday Morning, June 19

TICC, 1st Floor, Room 101C

From Open Data to Digital Economy

In late 2012, Taiwan initiated its open data program. In 2015, Taiwan was ranked No.1 globally in the open data initiative by the UK Open Knowledge Foundation (okfn) and carries this world-class honor till today. In the meantime, the Taiwan government started to employ big data technology to study and plan important policies. This effort leads most of the big data projects in the private sector and was recognized as a major milestone in government IT applications.

AI, after dormant for some years, was revived due to the big data technology and processing capabilities of enhanced IT hardware. As the stronghold of world IT hardware supplier for decades, the Taiwan industry, on the other, hand lacks the foundation of good IT application development and is facing tremendous challenge in the upcoming AI era. But building on its successful foundation of government open data and big data applications, Taiwan has a chance to embrace and prepare itself for innovative AI applications in the coming years. Taiwan needs to understand the strategies of major global enterprises in AI development and plan accordingly its policies and actions. The government also needs to work out the plan to interact with and leverage the strength of these enterprises and prepare necessary infrastructures. With intelligent policies and solid implementation, Taiwan would be able to play an important role in the digital economy age.

Introduction will be made by Chung-Yee Lee, HKUST, Program Chair

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Sriram Raghavan

Vice President, IBM Research – India & Singapore, CTO IBM India
IBM Research

Tuesday Morning, June 19

TICC, 1st Floor, Room 102

Transforming Industries and Professions through AI, IoT and Blockchain

The emergence of a triumvirate of disruptive technologies – AI, IoT, and Blockchain — is poised to transform every industry and profession. As the fundamental innovations underpinning these technologies progress at a rapid pace and we see early exemplars of their use, it is clear that we are headed to a world of deeper insights, re-imagined engagement, extreme personalization, and new cross-industry business ecosystems. Blockchain applied to supply chain networks redefines engagement between business partners enabling a more transparent and open business environment with reduced friction, reduced fraud, and entirely new business models. AI applied to a combination of terabytes of remote sensed data coupled with intelligent smart on-field IoT sensors is transforming the world of of agribusiness, enabling very fine grained crop monitoring, targeted intervention, reduced farming costs, and highly actionable insights at a resolution and cost point that was unimaginable less than a decade ago. Using these and numerous real examples drawn from IBM’s work with clients in financial services, healthcare, logistics, and retail, this talk will illustrate the transformative power of these three technologies and showcase how this is driving new business models and disrupting entire cross-industry value chains.

Introduction will be made by Grace Lin, Asia University, General Chair

Special Panel Sessions

Sunday Morning, June 17

Room 201A, 8:00am-9:30am

Panel: Transforming Education through Analytics & Learning Science and Engineering

Advances in information technology, learning science and data analytics are transforming education. Technology enhanced learning, flipped classroom, and open learning initiatives are changing the ways in which students learn and demonstrate learning outcomes. In this panel, academic leaders will discuss how their universities are applying analytics and detailed data about learning and learning outcomes to create the 21st Century educational experience for their students.

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Panel Session Chair: Ramayya Krishnan

Ramayya Krishnan is the W. W. Cooper and Ruth F. Cooper Professor of Management Science and Information Systems at the H. John Heinz III College and the Department of Engineering and Public Policy at Carnegie Mellon University. A faculty member at CMU since 1988, Krishnan was appointed Dean when the Heinz College was created in 2008. He was reappointed upon the completion of his first term as Dean in 2014.

Krishnan’s research interests focus on consumer and social behavior in digitally instrumented environments. His work has addressed technical, policy and business problems that arise in these contexts and he has published extensively on these topics. He has served as Department Editor for Information Systems at Management Science, the premier journal of the Operations Research and Management Science Community. Krishnan is an INFORMS Fellow, a member of the Global Agenda Council on Data Driven Development of the World Economic Forum, and a former President of the INFORMS Information Systems Society and the INFORMS Computing Society. He is the recipient of the prestigious Y. Nayuduamma award in 2015 for his contributions to telecommunications management and business technology.

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Panelist: Way Kuo

Way Kuo is President at City University of Hong Kong. He is a Member of U.S. National Academy of Engineering and Academia Sinica in Taiwan, a Foreign Member of Chinese Academy of Engineering and Russian Academy of Engineering.

Before joining CityU, he was on the Senior Management team of Oak Ridge National Lab and served as Dean of Engineering at the University of Tennessee. He specialises in design for reliability of electronics systems and energy. His recent book Soulware within Higher Education, published in 2016 by three publishing houses in Hong Kong, Taipei and Beijing simultaneously, will be published by Scrivener-Wiley this year.

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Panelist: Ling San
Professor Ling San is Provost and Vice President (Academic) at NTU Singapore. His research interests are in applications of algebra and number theory to combinatorial designs, coding theory, cryptography and sequences. He has published more than 180 journal and conference papers and two textbooks, and edited several conference proceedings. His research has clinched more than S$20 million in funding. 

Active in serving the professional community, he is the Second Vice President of the Singapore National Academy of Science, and has been a Past President of the Southeast Asian Mathematical Society and the Singapore Mathematical Society, and a former member of the Board of Directors of the International Association for Cryptologic Research. He is also on the Management Boards of the Institute for Mathematical Sciences at NUS and Temasek Laboratories at NTU, and has served as a reviewer for research funding agencies in Singapore and abroad.

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Panelist: Jeffrey Tsai

Jeffrey J.P. Tsai is the President of Asia University, Taiwan. He was a Professor of Computer Science and the Director of the Distributed Real-Time Intelligent Systems Laboratory at the University of Illinois, Chicago, an Adjunct Professor at Tulane University, a Visiting Professor at Stanford University, a Senior Research Fellow of IC2 at the University of Texas at Austin, and a Visiting Scholar at the University of California at Berkeley.

He is currently the CoEditor-in-Chief of the International Journal on Artificial Intelligence Tools and Book Series on Health Informatics. Tsai has served on the IEEE Distinguished Speaker program, DARPA ISAT working group, and on the review panels for NSF and NIH. He received an Engineering Foundation Research Award from the IEEE and the Engineering Foundation Society, a University Scholar Award from the University of Illinois Foundation, an IEEE Technical Achievement Award and an IEEE Meritorious Service Award from the IEEE Computer Society. He is a Fellow of the AAAS, the IEEE , and the SDPS.

Sunday Afternoon, June 17

Room 201A, 3:45pm-5:15pm

Panel: Meet the Editors

This session is a panel discussion with Editor-in-Chief and Department Editors from journals in the field of Management Science and Operations Research. The session provides attendees an opportunity to learn about the journals in the field to understand more about the field of Management Science and Operations Research, editorial visions, what kinds of papers they are looking for, editorial policies and practices, and to discover the journals’ reviewing and publishing opportunities. Each Editor will present a short description of their journal or department, both in what they are looking for in submissions and how they handle the editorial process. They will also talk about the new initiatives from their journal or department. After these brief statements by the editors, we will take questions from the audience. The editors who will participate are (in alphabetic order): John Birge (currently Editor-in-Chief of Operations Research), J. George Shanthikumar (currently Department Editor of Management Science in the Department of Big Data Analytics; Department Editor of Production and Operations Management in the Department of Special Responsibilities), Jayashankar M. Swaminathan (currently Department Editor of Management Science in the Department of Operations Management; Department Editor of Production and Operations Management in the Department of Supply Chain Management), and Christopher S. Tang (currently Editor-in-Chief of Manufacturing & Service Operations Management).

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Panel Session Chair: Mabel C. Chou, National University of Singapore

Mabel C. Chou is an associate professor in the Department of Analytics and Operations at National University of Singapore (NUS) and affiliate professor at the NUS Business Analytics Center. She received her B.Sc. degree in mathematics from National Taiwan University, M.Sc. degree in mathematics and Ph.D. degree in industrial engineering and management sciences from Northwestern University. Her research focuses on production scheduling and design/analysis of supply chain and transportation networks. She is currently serving as an area editor for Computers & Operations Research, a senior editor for Production and Operations Management, and an associate editor for Flexible Services and Manufacturing Journal.

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Panelist: John Birge

John Birge is the Jerry W. and Carol Lee Levin Distinguished Service Professor of Operations Management at the University of Chicago Booth School of Business.  He is currently Editor-in-Chief of Operations Research, former Editor-in-Chief of Mathematical Programming, Series B, and former President of INFORMS.   His honors and awards include the IIE Medallion Award, the INFORMS Fellows Award, the MSOM Society Distinguished Fellow Award, the Harold W. Kuhn Prize, the George E. Kimball Medal, the William Pierskalla Award, and election to the US National Academy of Engineering.

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Panelist: J. George Shanthikumar

J. George Shanthikumar is the Richard E. Dauch Chair Professor of Manufacturing and Operations Management and a University Distinguished Professor of Management at the Krannert School of Management, Purdue University, West Lafayette, IN and a Professor Emeritus of Industrial Engineering and Operations Research at the University of California, Berkeley, CA. Before joining Purdue, he was a Chancellor’s Professor of Industrial Engineering and Operations Research at the University of California, Berkeley, CA.  He received the B. Sc. degree in Mechanical Engineering from the University of Sri Lanka, Peradeniya, and the M. A. Sc. and Ph. D. degrees in Industrial Engineering from the University of Toronto, Toronto, Canada. He is the president of POMS for the year 2018, is a Fellow of the Institute for Operations Research and Management Science (INFORMS) and Production and Operations Management (POM) Societies.

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Panelist: Jayashankar M. Swaminathan

Jayashankar M. Swaminathan is GlaxoSmithKline Distinguished Professor at Kenan-Flagler Business School, University of North Carolina, Chapel Hill. Dr. Swaminathan is known for his practical models related to productivity and innovation in operations. His research has been recognized with NSF Career Award and George Nicholson Prize and he is a current Department Editor for Management Science and a Co-Editor for M&SOM special issue on Responsible Operations. In the past he has served as an AE for Management Science, Operations Research and M&SOM journals as well as the Vice-President (Education) for  INFORMS. Dr. Swaminathan started as Assistant Professor at Haas School, UC Berkeley after his Ph.D.from Tepper School at Carnegie Mellon University. He obtained his B.Tech in Computer Science and Engineering from Indian Institute of Technology, Delhi.

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Panelist: Christopher S. Tang 

Christopher S. Tang is University Distinguished Professor and the holder of the Edward W. Carter Chair in Business Administration at the UCLA Anderson School. Recognized as a leading scholar in global supply chain management, Chris has published 6 books and over 150 articles in academic journals and public press including Wall Street Journal, Financial Times, and Fortune. He was elected as life time fellow by the Institute of Operations and Management Sciences (INFORMS), the Production and Operations Management Society (POMS), and the Manufacturing and Service Operations Management Society (MSOM). He serves as Editor-in-Chief of Manufacturing & Service Operations Management (M&SOM).

Sunday Morning, June 17

Room 101C, 11:00am- 12:30pm

Panel: Industry 4.0 Opportunities for Integrative Decisions in Smart Manufacturing

Industry 4.0 with digitalization and Intent of Things (IoT) provides tremendous opportunities for achieving smart manufacturing through real time data sharing across different levels of enterprise operations. Meanwhile, it also brings about new research challenges on how to effectively utilize those data to make integrative decisions so that a smart manufacturing system can adaptively respond in real time to meet changing demands and conditions in the factory, in the supply network, and in customer needs. This panel session is especially organized to promote broad communication and interdisciplinary research for making integrative decisions across manufacturing process design, quality control, production system operations and logistics/supply chain management. The panelist is consisted of five invited speakers from North American, Europe, and Asia, whose research expertise crossly cover these areas. Each panelist will firstly give a 10mins talk to share his/her expert point of view on the research opportunities, challenges and strategies to achieve integrated decision-making for smart manufacturing under Industry 4.0. The remaining time of the session will be Q&A interactions between the panelist and audience.

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Panel Session Chair: Judy Jin

Judy Jin is Professor of the Industrial and Operations Engineering Department, the Director of Manufacturing Program in the Integrative Systems and Design Division, the Director of Data Fusion Lab, at the University of Michigan. Her research area is in data fusion and quality engineering. She received numerous awards including the NSF CAREER and Presidential Awards (PECASE), the Forging Achievement Award, 12 Best Paper Awards.  She is serving as Departmental Editor for IISE Transactions, was the Vice President of INFORMS-International. She is a Fellow of Institute of Industrial and Systems Engineers and a Fellow of the American Society of Mechanical Engineers.

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Panelist: Kai Hoberg

Kai Hoberg is Professor of Supply Chain & Operations Strategy at Kühne Logistics University in Hamburg. Before joining KLU, he was Assistant Professor of Supply Chain Management at the University of Cologne. After his studies, he worked as a strategy consultant and project manager for Booz & Company conducting supply chain and operations management projects. His research topics include supply chain analytics, role of technology in supply chains, inventory modelling, and the link between operations and finance. His research findings have been published in academic journals like JOM, POM or EJOR.

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Panelist: Dongni Li

Dongni Li is an associate professor in the School of Computer Science at Beijing Institute of Technology. She received her degrees of B.S., M.S., and Ph.D. in Computer Science from Northeastern University, Shenyang China. Her research interests include intelligent optimization approaches and their applications in manufacturing industry. She has authored more than 20 papers in journals including IEEE T-SMC, IEEE T-ASE, IJPR, C&OR, and several proceedings. She is the secretary general of two professional committees of AI and VR for the Alliance of Emerging Engineering Education of China. She served as a panel member for Manufacturing Informatization of Inner-Mongolia.

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Panelist: Leyuan Shi

Leyuan Shi is Professor in the Department of Industrial and Systems Engineering at University of Wisconsin-Madison. She received her Ph.D. in Applied Mathematics from Harvard University in 1992.  Her research interests include simulation modeling and large-scale optimization with applications to operational planning and scheduling and digital supply chain management. She has developed a novel optimization framework, the Nested Partitions Method that has been applied to many large-scale and complex systems optimization problems. Shi has published 3 books and more than 130 papers. She is currently serving as Editor for IEEE Trans on Automation Science and Engineering. She is an IEEE Fellow.

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Panelist: Fugee Tsung

Fugee Tsung is Professor and former Head of the Department of Industrial Engineering and Decision Analytics, Director of the Quality and Data Analytics Lab, at the Hong Kong University of Science & Technology, and Editor-in-Chief of the Journal of Quality Technology. He is Academician of the International Academy for Quality, Fellow of the American Society for Quality, American Statistical Association, Institute of Industrial and Systems Engineers, and Hong Kong Institution of Engineers. He received his PhD and MSc from University of Michigan, and BSc from National Taiwan University. His research interests include industrial big data and quality analytics.