Prof. Chen-Fu
Chien
National Tsing Hua University
TOPIC: Industry 3.5 and Blue Lakes Strategy for Sustainable Smart Manufacturing
Abstract: Focusing on the needs for sustainable migration in emerging countries, this study aims to propose Industry 3.5 as a hybrid strategy between the existing Industry 3.0 and to-be Industry 4.0 to address fundamental objectives for digital transformation and industrial migration. In addition, “Blue Lakes Strategy” is proposed for small and medium sized enterprises in emerging countries via simultaneously enhancing competitive advantages with core competence and focusing on niche markets and differentiation. Indeed, artificial intelligence and big data analytics can be employed as disruptive innovations under the existing infrastructure to address the needs. This speech uses a number of empirical studies to validate the proposed Industry 3.5 and Blue Lakes Strategy for sustainable manufacturing and circular economy. 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 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 National Science
and Technology Council (NSTC), Taiwan. He is the founder and
Director for Decision Analysis Laboratory (DALab), the NTHU-TSMC
Center for Manufacturing Excellence, and the Zhen-Ding Tech &
National Tsing Hua University Joint Research Center in 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 10466 and H-index 51. He has been listed as
world 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 NSTC, 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. Tadashi Dohi
Hiroshima University
TOPIC:
Tba
Abstract: Tba
BIO: Dr. Tadashi Dohi has served as a Full Professor at Hiroshima University, Japan, since 2002. He is currently appointed as Dean of School of Informatics and Data Science and Associate Dean of Graduate School of Advanced Science and Engineering, Hiroshima University. He received a Doctor of Engineering degree from Hiroshima University in 1995. His research interests include Software Reliability, Dependable Computing, Performance Evaluation, Operations Research. To date, his research has led to 260 journal papers, 320 peer-reviewed conference papers, 25 book editions, and 40 book chapters in the above research fields. Dr. Dohi is a Regular Member of the Institute of Electronics, Information and Communication Engineering (IEICE), Information Processing Society of Japan (IPSJ), Reliability Engineering Association of Japan (REAJ), a Fellow Member of the Operations Research Society of Japan (ORSJ), and a Senior Member of IEEE (Computer Society and Reliability Society). He was acting President of REAJ in 2018 and 2019. He has served as the General Chair of 15 international conferences, including ISSRE 2011, ATC 2012, DASC 2019, and ICECCS 2022. Of note, he was a founding member of the International Symposium on Advanced Reliability and Maintenance Modeling (APARM) and International Workshop on Software Aging and Rejuvenation (WoSAR). He has been a steering committee member in AIWARM/APARM, ISSRE, DASC, DSA. He has worked as a program committee member in several international premier conferences such as DSN, ISSRE, COMPSAC, SRDS, QRS, EDCC, PRDC, HASE, SAC, ICPE, among numerous others. He is an Associate Editor/Editorial Board Member of over 20 international journals, including IEEE Transactions on Reliability, Asia-Pacific Journal of Operational Research, and Journal of Risk and Reliability.
Prof. Chul Ung Lee
Korea University
TOPIC:
Patent Data Analytics with AI for Innovation Management
Abstract: Intelligence (AI) in Patent
Data Analytics has been on the pivotal role for Innovation
Management. It underscores the significance of AI in extracting
valuable insights from patent data, which is essential for
effective innovation management. In this talk, we delve into a
research study that employs data analytics techniques to
identify key technology trends in the transportation and
logistics sectors, by utilizing a combination of Latent
Dirichlet Allocation (LDA) topic modeling, N-gram language
models, and time series analysis for a thorough examination of
patent data. The objective is to offer valuable guidance for
navigating technological competitive dynamics, spotting
innovation opportunities, and shaping Research and Development
(R&D) strategies in these sectors. The presentation also
discusses published research papers on the integration of
Intellectual Property analysis with AI. Current research efforts
are aimed at evaluating technology novelty based on Natural
Language Processing (NLP) analysis coupled with Intellectual
Property and Big Data. The presentation concludes with a
discussion on the use of BERT-based NLP models to classify an
optimal number of International Patent Classification (IPC)
codes and extract core keywords of patent documents, and the use
of GPT-based large language models to optimize various technical
documents by summarizing and analyzing their key points.:
§ LDA, N-GRAM based trend analysis and prediction
§ Utilize Natural Language Model to analysis Intellectual
Property Data such as Patent documents and focused on Big Data
based Intellectual Property dataset.
§ Prompted based GPT utilization for innovation management
BIO: Chulung
Lee is a full professor of Industrial and Management Engineering
and the current department head of the Intellectual Property
Management department at Korea University. He achieved his B.S
and M.S degrees from Seoul National University, before earning
his Ph.D. at Pennsylvania State University in the United States.
His global academic journey includes a research associate stint
at the University of Waterloo in Canada and a professorship at
the National University of Singapore. He joined Korea University
and has since made significant contributions to the fields of
Logistics and Supply Chain Management Research, serving as the
president of the Logistics and Supply Chain Research Council and
the Smart Supply Chain Management Society. His current research
partnerships span across the globe, including the University of
British Columbia and the National University of Singapore,
focusing on Air Transportation and Logistics, and Maritime
Transportation and Logistics, respectively. Professor Lee has an
impressive publication record, with over 100 peer-reviewed
papers in SCI/SSCI indexed international journals. His influence
extends to the corporate world as well, collaborating with
industry giants such as Samsung, LG, Hanjin, and the Incheon
International Airport Corporation. In addition to his extensive
work in logistics and supply chain management, Professor Lee has
made significant strides in the field of the Intellectual
Property (IP) and Innovation Management with Data Analytics. His
current research aims to evaluate technology which concludes
technology novelty, originality, and innovation by using Natural
Language Processing (NLP) analysis in conjunction with IP and
Big Data. He employs NLP models such as BERT, ELECTRA, and many
other pretrained language models to classify IPC codes optimally
and extract core keywords from patent documents. Furthermore, he
uses GPT-based large language models to optimize technical
documents by summarizing and analyzing their key points.
Professor Lee's works in research and education has earned him
the president-elect position of the Korea Intellectual Property
Education and Research Society and the Korean Society for SCM.
His multidisciplinary approach to research and his commitment to
advancing knowledge in his fields of interests make him a
distinguished figure in academia.
Prof. Yi-Kuei Lin
National Yang Ming Chiao Tung University
TOPIC: Tba
Abstract: Tba
Bio: Yi-Kuei
Lin is currently a Chair Professor of Industrial Engineering and
Management Department/ Electronics and Electrical Engineering
Department/ Communications Engineering Institute, National Yang
Ming Chiao Tung University, Taiwan. He is currently the Convener
of Industrial Engineering and Management Program, National
Science and Technology Council (NSTC), Taiwan since 2023. He was
the President of the Operations Research Society of Taiwan
during 2018 and 2019. He received a Bachelor degree in Applied
Mathematics Department from National Chiao Tung University,
Taiwan. He obtained his Master degree and Ph.D. degree in the
Department of Industrial Engineering and Engineering Management
at National Tsing Hua University, Taiwan. He has the honor to
get the Distinguished Research Awards from NSTC of Taiwan in
2008, 2010 and 2013, respectively. He also got the Fellow honor
from the Chinese Institute of Industrial Engineering in 2021,
and the Distinguished Research Fellow. He served as Dean,
College of Management at Vanung University from 2003 to 2007,
and Chairman, Department of Industrial Management at National
Taiwan University of Science and Technology from 2012 to 2014.
He is now serving as Associate Editor of IEEE Transactions on
Reliability, Annals of Operations Research, and Quality
Technology & Quantitative Management. His research interest
includes performance evaluation, network reliability, operations
research, and telecommunication management. He has published
more than 200 papers in SCI/SSCI indexed journals