Speakers
Guohong Dai
Professor Guohong Dai, an expert in mechanical engineering, was born in 1966. He received his Ph.D. degree in mechanical manufacturing and automation from Nanjing University of Science and Technology in 2007. He has previously served as a visiting scholar at Shanghai Jiao Tong University in 1996, and a senior visiting scholar at Fachhochschule Gelsenkirchen in 2006. From 2018 to 2021, he directed the National Key Research and Development Program of China Program, focusing on the intelligent disassembly and sorting technologies for waste circuit board components. Prof. Dai has long dedicated himself to the research work in the field of digitalized manufacturing processes and equipment technology, as well as the recycling technology for mechanical and electrical products. He proposed the theory of rapid collision avoidance for the automated disassembly process. This theory is applicable for products of varying specifications, and helps to enhance the operational efficiency. Applied to the manufacturing industry, the proposed approach contributes to the automated disassembly production lines and ensures the safe operations by robots or automated systems during the disassembly of mechanical and electrical products. Prof. Dai was invited to be a member of the first committee for the Solid Waste Utilization Professional Committee of the China Nonferrous Metals Society in 2020. He also acted as a dean of the School of Robotics Industry, Jiangsu Province Key Industry College in 2021. As a director, he was in charge of the Innovation Laboratory for Petrochemical Equipment Remanufacturing in 2019. Prof. Dai has published over 100 academic papers in both international and domestic scholarly journals. Additionally, he has authored and successfully published 7 specialized works. His outstanding contributions have been recognized through several prestigious awards, including the First Prize in Science and Technology from the Chinese Nonferrous Metals Industry, the Second Prize for Technological Progress from Jiangsu Province, and Third Prizes in various provincial and ministerial-level science and technology awards, etc.
Speech Title: Digital Twin based human-robot collaboration in intelligent disassembly of electric-vehicle batteries for sustainable manufacturing
Speech Abstract: With the development of electric-vehicles, research on disassembly of electric-vehicle batteries is of critical importance for resource recycling. This research devotes to the intelligent disassembly of electric-vehicle batteries by applying digital twin technologies to robots. By introducing the digital twin framework, the theory of intelligent manufacturing can be enhanced, and the safety of workers can be guaranteed. The goal of this research is to present a novel human-robot collaboration architecture for intelligent disassembly, using computer vision-based online detection and force telepresence-based human-robot interaction. The contributions include establishing a mapping relationship between reality and virtuality for the robot disassembly platform, multi-scale object detection and pose estimation, force perception and transmission in non-contact states, robot self-learning and autonomous mission planning. This report is dedicated to leveraging the digital twin theory and intelligent manufacturing approaches to achieve the safe and sustainable manufacturing of electric-vehicle batteries so as to promote the realization of carbon neutrality.
Yi Wang
Professor Wang is a Professor of Business and Management and the scientific Head of Business analytics labs. He was previously a co-director of the Digital Fashion Design lab and Course leader for Msc fashion management at the School of Materials, University of Manchester and Program leader for Maritime business, University of Plymouth. During his career, Wang’s major focus has been on advancing breakthroughs in Operations and supply chain functions and processes by integrating various business analytical technologies, including the Kano model, house of quality, k-means clustering, association mining, deep learning, SEM, causal inferences, semantics and ontology, eye tracking, EEG, etc. His work has been widely applied by SMEs. Professor Wang’s has contributed to over 100 papers, and several books on supply chain/operations management and design, data analytics, and machine learning. He has been the principal or co-investigator on contracts totaling £15 million. He is also the founding chair for the IWAMA group, an international research group focused on advanced design and manufacturing.
Speech Title: Data Intelligent Decision Making for Industrial 5.0 Value Creation
Speech Abstract: The industrial landscape is in process of a transformative shift, the transition from Industry 4.0 to Industry 5.0, also referred to as Fourth and Fifth Industrial Revolution. “Industry 5.0” proposed by European commission in 2021, as a strategy to create a paradigm shift for an industrial landscape, in which the primary focus should no longer be on increasing efficiency, but on promoting the well-being of society and sustainability of the economy and industrial production. This keynote will emphasis that Industry 4.0 hasn’t yet been implemented at the expected level in manufacturing companies all around the globe, and the transition from 4.0 to 5.0 or directly to 5.0 need to be focused. Based on the recent research projects, this keynote will provide key enablers of Industry 5.0, possible directions of its development, influential transitional criteria, its advantages, and barriers.
John Breslin
John Breslin is a Personal Professor in Electronic Engineering at the College of Science and Engineering at the University of Galway, where he is Director of the TechInnovate/AgInnovate programmes. John has taught electronic engineering, computer science, innovation and entrepreneurship topics over the past 20 years. Associated with two SFI Research Centres, he is a Principal Investigator at Insight (Data Analytics) and a Funded Investigator at VistaMilk (AgTech), and a Principal Investigator on the EDIH Data2Sustain. With a h-index of 50, over 10,000 citations, and various best paper awards, he has jointly written over 300 peer-reviewed academic publications, including books on The Social Semantic Web and Social Semantic Web Mining. He co-created the SIOC framework, implemented in hundreds of applications (by Yahoo, Boeing, Vodafone, etc.) on at least 65,000 websites with 35 million data instances. He is co-founder of the PorterShed innovation hub, and co-author of the #1 bestselling Old Ireland in Colour book series, which uses AI and human colourisation.
Speech Title: Cognitive Digital Twins for Industry 4.0
Speech Abstract: Smart manufacturing or Industry 4.0, a trend initiated over a decade ago, aims to revolutionise traditional manufacturing using technology-driven approaches. The digital twin is an emerging concept whereby a digital replica can be built of any physical object and is becoming mainstream. However, rather than just being a replica, value-added services can be offered on top of digital twins, which are not as easily done on the corresponding physical assets. Cognitive digital twins are an extension of existing digital twins with some additional capabilities of communication, analytics, and intelligence in three layers: (i) access, (ii) analytics, and (iii) cognition.
Filippo De Carlo
Filippo De Carlo received his Ph.D. in Reliability, Maintenance, and Logistics Engineering from the University of Florence. Since 2003 he has been a Professor at the Department of Industrial Engineering (DIEF) of the University of Florence. His expertise lies in industrial plant management, production process optimization, and the techno-economic evaluation of maintenance methodologies. He has supervised numerous Ph.D. students and research fellows, contributing to the advancement of knowledge in his field. He is the author of over 100 scientific papers published in international journals and conference proceedings, and he is currently the managing editor of the journal "Maintenance & Asset Management", the official publication of the Italian Maintenance Association (AIMAN).
Speech Title: Navigating the Sustainability Landscape of Drone-Based Inventory Management
Speech Abstract: Can drones revolutionize internal logistics? While the economic benefits are often touted, the broader question of long-term sustainability remains. This keynote will move beyond the initial hype, typically focused on economic gains, to explore a more comprehensive and nuanced perspective. By adopting a Triple Bottom Line (TBL) approach, the impact of drones will be assessed not only economically, but also environmentally and socially. Specifically, it will be interesting to delve into the application of drones in inventory control, an area where this technology can significantly enhance efficiency and accuracy. A novel methodology for evaluating the sustainability of this application will be presented, identifying key performance indicators (KPIs) for each of the three dimensions of the TBL. This approach will enable to quantify the environmental impact of drones, assess the social benefits in terms of safety and working conditions, and analyze the long-term economic costs and savings. Through concrete data and in-depth analysis, we will see if the adoption of drones in internal logistics can be truly sustainable, provided that all dimensions of sustainability are considered. The ultimate goal is to equip the audience with the tools needed to make informed and responsible decisions about the use of this technology, contributing to a more efficient, ethical, and environmentally friendly future for logistics.
Ming Chen
Dr. Ming Chen, Professor, Director of “Industry 4.0- Smart Factory Lab”, Vice director of Sino-German College of Applied Sciences, Tongji University. As a team leader or principal investigator, Prof. Chen has finished more than 20 projects funded by National Key S&T Special Projects, Science and Technology Commission of Shanghai, and several other large enterprises. In the research filed of remote diagnosis, production development, he has more than 50 publications. Now his research interests include Structure and Framework of Industry 4.0, PLM with Industrial Big Data, Development of MES system in industrial sensor network, etc.
Speech Title: Exploring of the application about big model for industry/ engineering education
Speech Abstract: The concept of Industry 4.0 was released in Hannover Messe 2013. It refers to a Cyber-Physical System (CPS), which focuses on the fusion of manufacturing, logistics and applications by Internet of Things and Internet of Service(IoTS). The key foundation of Industry 4.0 includes digitalizing, networking and intelligentizing. How to build an intelligent manufacturing ecology is a challenge we faced in current development of intelligent manufacturing systems. This presentation will focus on exploring of the application of big model for industry/engineering education.
Jan Ola Strandhagen
Professor Jan Ola Strandhagen is Professor at Department of Mechanical and Industrial Engineering, the Norwegian University of Science and Technology (NTNU). He is previous research director of the research center SFI NORMAN at SINTEF. He holds a PhD in Production Engineering from NTNU (1994). His research has focused on production management and control, logistics, manufacturing economics and strategies. He has managed and performed R & D projects in close collaboration with a wide variety of Norwegian companies and participated as researcher and project manager in several European projects.
Speech Title: SMART PLANNING ENABLED BY REAL-TIME DATA
Speech Abstract: Recent developments in data collection devices and systems enables new concepts and systems for production and supply chain planning. Traditional concepts of planning have been based on long and even infit horizon of plan period. Equal weight is put on all orders or jobs through the whole planning horizon. As changes and disturbances always will occur, the likelihood of actually being performed as planned decreases as time passe. Smart planning must be based on real-time data from production and the supply chain, both supplies and deliveries. The paper will present investigations on which sectors and type of companies will benefit most on using real-time data, as well as concepts for smart planning based on such data.
Erlend Alfnes
Erlend Alfnes, is Professor in the Department of Mechanical and Industrial Engineering at NTNU. He obtained a PhD in Production Management in 2005 at NTNU. He has worked many years as a researcher within production management at SINTEF Technology Management before he started as Associate Professor at NTNU in 2008. He has been full professor since 2022. He has supervised 8 PhDs and over 60 Master’s students. He has been the project manager of several national and international research projects. His research and teaching interests are in the areas of manufacturing strategy, lean planning and control, and ERP systems.
Speech Title: Supply chain and operations principles to mitigate uncertainty and enable flow
Speech Abstract: This presentation explores how the FORRIDGE principles can be used for achieving smooth flow in manufacturing. FORRIDGE was developed by Professor Denis Towill by synthesizing the work of two pioneers in flow engineering, Forrester and Burbridge. We'll delve into practical frameworks for product classification, uncertainty mapping, risk analysis, and most importantly, aligning FORRIDGE principles with tactics to combat specific uncertainties in a supply chain. By employing this approach, professionals can identify and implement the most effective strategies to mitigate uncertainties that disrupt flow.
Vishal S Sharma
Vishal Santosh Sharma is an accomplished Senior Lecturer and Research Coordinator at the Engineering Institute of Technology, Melbourne, Australia, specializing in Mechanical Engineering. He holds a Doctorate degree from Kurukshetra University in India, followed by a post-doctoral fellowship at École Nationale Supérieure d'Arts et Métiers in France, one of the renowned Grandes Écoles. Subsequently, he actively participated in various projects related to wind turbines and machining at NTNU in Norway. With extensive experience of over 25 years in teaching and research, Vishal has made significant contributions to the field of advanced manufacturing. He has previously worked at the University of the Witwatersrand in Johannesburg, South Africa, as well as at Dr. B R Ambedkar NIT Jalandhar, India. Prior to his academic career, he spent three years working in the industry, and even while pursuing teaching and research, he maintained strong ties with the industrial sector, successfully completing multiple collaborative projects. Vishal’s research primarily focuses on advanced manufacturing, resulting in the publication of over 110 scientific articles. His work has garnered more than 4,500 citations, establishing an impressive H-index of 38 on Scopus. His expertise has been acknowledged globally, as he was recognized among the top 2% of researchers for three consecutive years worldwide, according to a study conducted by Stanford University. Furthermore, Vishal has demonstrated his leadership abilities by organizing seven international conferences, editing special journal issues, and publishing three books in collaboration with Springer publishers. As a sought-after supervisor, Vishal has successfully guided thirteen PhD and over 30 Masters students in their research journeys, fostering their academic growth. He has also forged productive collaborations with international faculty members and industry partners, further enriching his contributions to the field. Additionally, Vishal is serving as an Associate Editor for esteemed journals such as the Journal of Intelligent Manufacturing, Alexandria Engineering Journal, and International Journal of Mechatronics and Manufacturing Systems, further highlighting his influential contributions in academia.
Speech Title: Machining and Additive Manufacturing: A Research Perspective Overview
Speech Abstract: The talk will cover ongoing research in Machining and Additive Manufacturing (AM). The focus will be on the application of Minimum Quantity Lubrication (MQL), including the use of bio-fluids, and efforts to enhance machining accuracy and efficiency. In AM, the discussion will extend to the performance of bio-inspired 3D printed structures and the modeling of multi-jet printed parts. Future research will explore machining newly developed Metal Matrix Composites with advanced methods, producing hydrophobic surfaces through 3D printing, and studying the durability and post-processing effects on 3D printed parts. Additionally, the talk will address metal 3D printing for medical implants, use of Cold Spray technology, and surface texturing. The speaker will also share insights into making manufacturing processes more sustainable, emphasizing the importance of reducing environmental impacts.