Prof. Adam
Skorek
University of Québec at Trois-Rivières
TOPIC: Digital Twins and Industrial
Engineering
Abstract: Digital Twins (DT) are present in advanced
manufacturing technology for years, with the current eruption of
their applications related to the new possibilities of
High-Performance Computing and more recently the
High-Performance Quantum Computing. As numerical modeling of
physical objects is a traditional basis for DT technology, an
impressive contemporary DT application deployment includes
Augmented Reality, Virtual Reality, the Internet of Things, and
Real-Time infrastructures. The rise of DT is so important that
they are driving the future of Industrial Engineering (IE). In
this lecture, a presentation of DT for physical assets,
processes, systems, and environments from a worldwide
perspective is illustrated by some recent DT applications in
Electrical Power Systems, Autonomous Vehicles, and Industrial
Electronics, as well as DT importance for Industry 4.0 is
pointed and explained. The lecturer’s experiences in evolution
from digital modeling and simulations to Digital Twins
technology applications are shared as a case study. Some
practical examples and instructions for researchers, engineers,
and students are presented, stimulating the audience to various
scientific/R&D activities in this so promising area.
BIO: Dr.
Adam W. Skorek (M'88-SM'90-F'09-LF’23) received the
Eng. and M.S. degrees from Białystok Technical University,
Białystok, Poland, in 1980, and the Doctor of Technical Sciences
degree from Warsaw Technical University, Warsaw, Poland, in
1983. From 1983 to 1987, he was an Adjunct Professor with both
Białystok Technical University and the Institute of
Telecommunications of Oran, Algeria. In 1987, he joined the
Université du Québec à Trois Rivières, Trois Rivières, QC,
Canada, where he is currently a Professor and Director of the
Electro-Thermal Management Laboratory. He is the former Head of
the Electrical and Computer Engineering Department (2001 -2007)
as well as a former Member of both the Board of Directors of the
University of Québec at Trois-Rivières (2008-2011) and the Board
of Governors of the University of Quebec (2011-2014), designated
by Professors and nominated for both by the Government of
Quebec. He has authored or co-authored over 150 papers on
various aspects of electrothermal phenomena. From 2006 to 2017,
he has been a Visiting Professor with the Faculty of Engineering
Management at Białystok Technical University. Prof. Skorek is a
Registered Engineer in Poland. He is a Member of the Engineering
Academy in Poland, a Fellow of the Engineering Institute of
Canada, and an IEEE Life Fellow. He is the IEEE Electron Devices
Society Distinguished Lecturer. In 2021, he received the IEEE
Industry Applications Society Distinguished Service Award.
Prof. Zhibin Jiang
Shanghai Jiaotong University
TOPIC: Industrial Engineering for Intelligent Manufacturing:Challenges, Opportunities and Trends
Abstract: Industrial Engineering (IE) originated from manufacturing industries and have played very important roles in the development of worldwide manufacturing industries in improving productivity, reducing cost, ensuring quality, and raising service level. With the emerging of Industry 4.0, we have entered the age of intelligent manufacturing, which is driven by new information and communication technologies (ICTs) and highly changing customer demands, especially that for personalized products. From angles of underlying ICTs, new manufacturing technologies, and new market environment, this talk presents the new features of intelligent manufacturing such as smart products, complex time-varying systems, intelligent production, manufacturing servitization, and customized and even personalized manufacturing. Then, it addresses key challenges to IE in multi-dimensional manufacturing resource integration, IoT based production process control, intelligent coordination of human-machine, operation management for servitized manufacturing, big data analytic based decision making, and supportive management for intelligent products, etc. Finally, this talk proposes some key trends for IE from main academic fields such as facility planning and production system design, ergonomics and human factors, production planning and control, and quality management and control.
BIO: Dr.
Zhibin Jiang is Chang Jiang Scholar Chair Professor of Ministry
of Education (MOE), China. He is a fellow and the former
Regional Vice President of Institute of Industrial and Systems
Engineers for Asia. He is the Distinguished Professor of Antai
College of Economics & Management and the Dean of the Smart
Manufacturing and Service Management (the Sino-US Global
Logistics Institute), Shanghai Jiao Tong University (SJTU),
China. He was the former Head of the Department of Industrial
Engineering and Management of SJTU from 2001 to 2018 and the
former Director of Academic Affairs Office from 2007 to 2014,
SJTU. He is the Vice President of Advisory Committee of
Industrial Engineering Undergraduate Program of MOE, the Vice
Chairman of Chinese Industrial Engineering Society, and AE or
member of editorial board of five IE related international
journals.
His research interests include the operation management of
complex production and service system, service-oriented
manufacturing management, and healthcare service and hospital
management. He has authored 5 books and published over 320
papers, including more than 120 papers in refereed international
journals. He has been listed as Elsevier Most Cited Chinese
Scholars in the field of Industrial and Manufacturing
Engineering successively 4 years from 2014 to 2018.
Prof Alec Morton
University of Strathclyde
TOPIC: Payment
Contracts for Incentivising the Development of New Antibiotics
Abstract: Antimicrobial
resistance threatens to reverse many of the gains made by modern
medicine. To ensure that we continue to have functioning
antibiotics, there is a need to ensure that innovators who
successfully develop new antibiotics are able to earn a return
from their investment. However, there is a market failure in the
market for antibiotics: unlike drugs for chronic conditions, a
successful antibiotic will not necessarily be used at a scale
sufficient for development to be profitable. Novel subscription
payment schemes are one of the approaches being explored to
tackle this problem. Under such schemes, the funder plays a key
role in promoting responsible antibiotic stewardship by choosing
the price per pill for providers such that this encourages
appropriate antibiotic use. We present a mathematical model of
subscription payment schemes, explicitly featuring fixed and
volume-based payment components for a given treatment price.
Total welfare returned at a societal level is then estimated
(incorporating financial costs and monetised benefits). We
consider a practical application of the model to development of
novel antibiotic treatment for Gonorrhoea, and examine the
optimal treatment price under different parameterisations. We
discuss the insights this work presents on the nature of these
payment schemes, and how these insights can enable
decision-makers to take the first steps in determining effective
structuring of subscription payment schemes.
Bio: Dr. Alec Morton
is Professor of Management Science at the University of
Strathclyde. He has degrees from the University of Manchester
and the University of Strathclyde. He has worked for Singapore
Airlines, the National University of Singapore, and the London
School of Economics, has held visiting positions at Carnegie
Mellon University in Pittsburgh, Aalto University in Helsinki,
the University of Science and Technology of China (USTC) in
Hefei, and the National Audit Office and is a member of the
International Decision Support Initiative. His main interests
are in decision analysis and health economics. His research is
funded by the European Commission, the Department of Health, the
Medical Research Council and Engineering and Physical Sciences
Research Council, and the Chief Scientist's Office of the
Scottish NHS.
Alec has been active in the INFORMS Decision Analysis Society,
EURO and ISPOR. He is on the Editorial Board of Decision
Analysis and is an Associate Editor for the EURO Journal on
Decision Processes, the Transactions of the Institute of
Industrial Engineers, and OR Spectrum. Past consulting clients
include the National Audit Office, the Department of Health, the
Environment Agency, the Nuclear Decommissioning Authority and
the Global Fund to Fight AIDS, Tuberculosis & Malaria. His
papers have won awards from the International Society for
Pharmacoeconomics and Outcomes Research and the Society for Risk
Analysis. His book Portfolio Decision Analysis with Jeff Keisler
and Ahti Salo won the INFORMS Decision Analysis Society
publication award in 2013 and his paper "CUT: A Multicriteria
Approach for Concavifiable Preferences" (with Nikos Argyris and
Jose Figueira) was a finalist for the same prize in 2016 .
Prof. Chen-Fu
Chien
National Tsing Hua University
TOPIC: Industry 3.5 and Blue Lakes Strategy
for Sustainable Manufacturing
Abstract: Focusing on needs in
emerging countries, this study aims to propose “Blue Lakes
Strategy” that is more practical and feasible for small and
medium sized enterprises in emerging countries, while Blue Ocean
Strategy was proposed to simultaneously strive for
differentiation and low cost via creating a new uncontested
market and new demands. In addition, we also proposed Industry
3.5 as a hybrid strategy between the existing Industry 3.0 and
to-be Industry 4.0 to address fundamental objectives for smart
manufacturing while employing artificial intelligence and big
data analytics as disruptive innovations under the existing
infrastructure. For validation, this speech will introduce a
number of empirical studies to illustrate Industry 3.5 and Blue
Lakes Strategy. Furthermore, collaborative research with leading
companies for employing smart manufacturing solutions for
sustainability and circular economy will be used for digital
transformation and smart sustainable manufacturing. This talk
will conclude with discussion of the implications of Industry
3.5 and Blue Lakes Strategy as effective alternatives to empower
healthy business ecosystem with diversified small and medium
sized enterprises in emerging countries for the ongoing
industrial revolution.
BIO:
Dr. Chen-Fu Chien is Tsinghua Chair Professor and Executive Vice
President, National Tsing Hua University (NTHU), Hsinchu,
Taiwan. He is now the President-Elect of Asia Pacific Industrial
Engineering & Management Systems Society (APIEMS). Since 2018,
he has been the Director of Artificial Intelligence for
Intelligent Manufacturing Systems (AIMS) Research Center that is
one of four national AI centers sponsored by Ministry of Science
& Technology (MOST), Taiwan. He was the President of Chinese
Institute of Industrial Engineers that was founded in 1962 in
Taiwan, R.O.C. and the Convener of Industrial Engineering and
Management Program for Ministry of Science & Technology (MOST),
Taiwan. He is the founder and chairing professor for Decision
Analysis Laboratory (DALab), the NTHU-TSMC Center for
Manufacturing Excellence, and the Semiconductor Technologies
Empowerment Partners Consortium (STEP Consortium), Taiwan. He
received B.S. with double majors in Industrial Engineering and
Electrical Engineering with the Phi Tau Phi Honor from NTHU in
1990. He received M.S. in Industrial Engineering and Ph.D. of
Decision Sciences and Operations Research at UW-Madison, in 1994
and 1996, respectively. He was a Fulbright Scholar in the
Department of Industrial Engineering and Operations Research, UC
Berkeley, from 2002 to 2003. From 2005 to 2008, he had been
on-leave as the Deputy Director of Industrial Engineering
Division in Taiwan Semiconductor Manufacturing Company (TSMC).
He received the Executive Training of PCMPCL from Harvard
Business School in 2007. He was a Visiting Professor in
Institute for Manufacturing, Cambridge University (sponsored by
Royal Society, UK), Visiting Professor in Beijing Tsinghua
University (sponsored by Chinese Development Foundation),
Visiting Professor in Waseda University (sponsored by Japan
Interchange Association Young Scholar Fellowship), and Visiting
Professor in Tianjin University and Zhejiang University, China.
His research efforts center on decision analysis, big data
analytics, modeling and analysis for semiconductor
manufacturing, manufacturing strategy, and manufacturing
intelligence. Dr. Chien and his DALab Associates have conducted
in-depth university-industry collaborative research projects
with the leaders of different industrial segments to validate
developed solutions and served as senior consultant for leading
companies including TSMC, MediaTek, Delta, and AUO. Dr. Chien
has received 12 USA invention patents on intelligent
manufacturing and published 6 books, 12 case studies in Harvard
Business School, and more than 220 journal papers with Google
citation number over 9390 and H-index 49. He has been listed as
Top 2% Scientists. He has been invited to give keynote speech in
various conferences including APIEMS, C&IE, FAIM, IEEE, IEEM,
IML, ISMI, ISSM, leading universities and international
companies worldwide. He is a Fellow of APIEMS, CIIE, and CSMOT.
Dr. Chien received the National Quality Award, the Executive
Yuan Award for Outstanding Science & Technology, three
Distinguished Research Awards and Tier 1 Principal Investigator
(Top 3%) from MOST, Distinguished University-Industry
Collaborative Research Award from the Ministry of Education,
University Industrial Contribution Awards from the Ministry of
Economic Affairs, the TECO Award, the 2011 Best Paper Award of
IEEE Transactions on Automation Science and Engineering, and the
2015 Best Paper Award of IEEE Transactions on Semiconductor
Manufacturing.
Prof. Szu-Hui Ng
National University of Singapore, Singapore
TOPIC: Data Driven Solutions for Maritime
Decarbonization
Abstract:
International shipping is the most energy efficient mode of mass
transport and only a modest contributor to the global overall
CO2 emissions. However, there is an urgent need to reduce its
greenhouse gas (GHG) emissions as sea transport will continue
growing apace with world trade. In this talk, we will look at
international shipping’s commitment to addressing its greenhouse
gas (GHG) emissions and the role data science has played in
facilitating the understanding of the trends and the development
of pathways to decarbonization.
BIO: Dr. Szu
Hui NG is Associate Professor and Head at the Department of
Industrial Systems Engineering and Management, National
University of Singapore (NUS). She is also a Fellow at the
Global Centre for Maritime Decarbonisation (GCMD). She holds
B.S., M.S., and Ph.D. degrees in Industrial and Operations
Engineering from the University of Michigan. Prior to joining
NUS, she was a Research Fellow at the Singapore Institute of
Manufacturing Technology (Agency for Science, Technology and
Research), and a Visiting Research Fellow at INSEAD. Her
research interests include computer simulation analysis and
optimization, applications of simulation to maritime
transportation and maritime transport emissions and efficiency.
She has over 55 internationally-refereed journal publications in
these areas and sits on the editorial boards of several leading
journals in simulation. She has given several keynote talks at
international conferences and has been invited as a panellist at
several international conferences and workshops.
Szu Hui has been active in maritime research since joining NUS,
completing various projects on shipping emissions and
decarbonization, and on shipping network design and operations
management for various government agencies and shipping
companies. She is currently the Research Track Leader for
shipping transport and efficiency at the Centre of Maritime
Studies (CMS), and a research affiliate for maritime transport
at the Energy Studies Institute (ESI). She was recently
appointed by the International Maritime Organization (IMO) to a
12-person expert panel to provide an expert review of the Fourth
IMO GHG Study. She has also served on several technical
committees for the Standards Council of Singapore.
Speakers in 2024 to be announced soon......