Prof. Jose M. Framinan
University of Seville, Spain
Title: New Manufacturing Scheduling Paradigms: An Overview
Abstract: Although manufacturing scheduling is a well-established field with a sound theoretical background, a series of disruptive changes in the manufacturing processes & technologies (additive manufacturing, IoT, CPS …among others) and in the demand & social drivers (servitization, circular economy, …) have taken place in the last years. These emerging manufacturing scenarios may be radically different than those currently in place and so is the way scheduling decisions must be carried out. In this talk we will discuss some of these new scenarios, and how scheduling decisions can be addressed. We will provide some illustrative examples and ongoing research work.
Biodata: Jose is full professor at the School of Engineering in the University of Seville and head of the Industrial Management Research Group. His research interests refer to decision systems and models in industry and services, including a range of decisions related to the design and optimization of processes, production and supply chain planning and scheduling, as well as information systems as a supporting infrastructure. In these areas, he has published over 90 papers in international refereed journals (check here for an updated list) and conducted a number of research projects (see here) and industry grants (here). He also has some editorial duties, most notably being the current Editor-in-Chief of the European Journal of Industrial Engineering, a high-impact journal in Industrial Engineering. He also serves as Area Editor (Scheduling) of the Flexible Services and Manufacturing Journal.
Prof. Loon Ching Tang
National University of Singapore, Singapore
Title: Resilience as a
System Performance Indicator for Spatial-temporal Cyber-physical Systems
Abstract: It is increasingly evident that climate change has induced more natural disasters of greater magnitude that posed threats and major disruptions to critical infrastructures and systems. At the same time, many systems have been developed and functioning as cyber-physical systems (CPS). It has become clear that we need to look beyond traditional risk management and develop a better understanding of system resilience. Here, we present a unifying framework for defining and measuring resilience. We use supply chain system as an example of spatial-temporal CPS to illustrate how resilience could be measured when disruption occurred. In particular, the resulting recovery data are used to illustrate a typical recovery function and then together with other key dimensions of resilience, the parameters of these functions can be used to form a set of resilience measures. We also demonstrate that resilience can also be the key design consideration for emergency response systems which is also a distributed spatial-temporal CPS.
Biodata: Dr Loon Ching TANG is currently professor of Department of Industrial Systems Engineering & Management at the National University of Singapore and Fellow of the Academy of Engineering, Singapore. He obtained his Ph.D degree from Cornell University in the field of Operations Research in 1992 and has published extensively in areas related to industrial engineering and operations research. He has been presented with a number of best paper awards including the IIE Transactions 2010 Best Application Paper Award and 2012 R.A. Evans/P.K. McElroy Award for the best paper at Annual RAMS. Prof Tang is the main author of the award-winning book: Six Sigma: Advanced Tools for Black Belts and Master Black Belts. Besides being active in the forefront of academic research, in the last 30 years, Prof Tang has served as a consultant for many organizations, such as the Ministry of Home Affair, Singapore Power Grid, Republic of Singapore Air Force, Seagate, HP, Phillips, etc, on a wide range of projects aiming at improving organizational and operations efficiency; especially through better management of engineering assets. He is currently a fellow of ISEAM, the Co-Editor-in-Chief of Quality & Reliability Engineering International, editorial review board member of Journal of Quality Technology and a member of the advisory board of the School of Engineering of Temasek Polytechnic.
Prof. Luiz Moutinho
University of Suffolk, UK; The Marketing School, Portugal; University of South Pacific, Fiji
Professor Luiz Moutinho (BA, MA, PhD, MAE, FCIM) is a Visiting Professor of Marketing at Suffolk Business School, Faculty of Arts, Business and Applied Social Science, University of Suffolk, Ipswich, England, UK, and at The Marketing School, Portugal and Adjunct Professor of Marketing, GSB, FBE, University of the South Pacific, Suva, Fiji.
In 2020 he was elected as the member of The Academia Europaea. In 2017 he received a degree of Prof. Honoris Causa from the Univ. of Tourism and Management Skopje, North Macedonia.
During 2015 - 2017 he was professor of BioMarketing and Futures Research at the DCU Business School, Dublin City University, Ireland. This was the first Chair in the world on both domains - BioMarketing and Futures Research. Previously, and for 20 years, he had been appointed as the Foundation Chair of Marketing at the Adam Smith Business School, University of Glasgow, Scotland.
Professor Moutinho completed his PhD at the University of Sheffield in 1982. He has been a Full Professor for 32 years and has held Visiting Professorship positions at numerous universities worldwide. He is the Founding Editor-in-Chief of the Journal of Modelling in Management (JM2) and Co-editor-in-Chief of the Innovative Marketing Journal.
His main areas of research interest encompass marketing, management and tourism futurecast, artificial intelligence, biometrics and neuroscience in marketing, evolutionary algorithms, human-computer interaction, the use of artificial neural networks in marketing, modelling processes of consumer behaviour, futures research.
Prof. Moutinho has given keynote speeches, lectures, seminars, talks, etc. in 46 countries worldwide.