keynote speaker Ii

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 .

keynote speaker IV

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.
 

keynote speaker V

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.