Digital Twin for Assembly Line Fitness Analytics
Oleg Gusikhin, Ford Motor Company, United States
Trends in Transportation and Logistics and the Role of Optimization
Maria Grazia Speranza, University of Brescia, Italy
Factories of the Future Through AI-driven Smart Manufacturing
Lihui Wang, KTH Royal Institute of Technology, Sweden
Digital Twin for Assembly Line Fitness Analytics
Oleg Gusikhin
Ford Motor Company
United States
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Brief Bio
Oleg Gusikhin is a Technical Leader at Ford Global Data, Insight and Analytics (GDI&A) Organization. Before joining GDI&A, he was the Manager and Technical Leader of the Advanced Connected Services and Mobility Applications Department at Ford Research & Advanced Engineering. He received his Ph.D. from the St. Petersburg Institute of Informatics and Automation of the Russian Academy of Sciences, an MS in Electrical Engineering from St. Petersburg State Technical University, and an MBA from the Ross Business School at the University of Michigan. For over 20 years, he has been working at Ford Motor Company in different functional areas. During his tenure at Ford, Dr. Gusikhin has been involved in the design and implementation of advanced information technology and intelligent control for manufacturing and vehicle systems. Dr. Gusikhin is a Fellow of INFORMS and a Certified Fellow in Production and Inventory Management by the American Production and Inventory Control Society. He is a recipient of three Henry Ford Technology Awards, 2014 INFORMS Daniel H. Wagner Prize and the 2009 Institute of Industrial Engineers Transactions Best Application Paper Prize in Scheduling and Logistics. He is an Industry Vice-Chair of IFAC Technical Committee "Manufacturing Modeling for Management and Control,” and a Lecturer in the Industrial and Operations Engineering department at the University of Michigan.
Abstract
Today the automotive industry is undergoing the most profound change since the invention of the moving assembly line. Connected, electric, and autonomous vehicles, new smart mobility business models, the Internet of Things, and Additive Manufacturing bring disruptive innovations that will create the opportunity and the motivation for industry transformation. Data, analytics, AI, and machine learning are at the forefront of this transformation and are fundamental in accelerating the introduction of factory-of-the-future technologies. The presentation will review the Digital Twin of the automotive final assembly that connects products, parts, tools, processes, and people. The Digital Twin monitors production performance and enables assembly line fitness analytics that quantifies the impact of decisions in real-time, and proactively identifies the opportunities for line optimization.
Trends in Transportation and Logistics and the Role of Optimization
Maria Grazia Speranza
University of Brescia
Italy
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Brief Bio
M. Grazia Speranza is full professor of Operations Research at the University of Brescia, where she served as Dean of the Faculty of Economics and Business and Deputy Rector. She is currently Past President of IFORS (International Federation of the Operational Research Societies) and a former President of EURO (association of European Operational Research Societies) and of TSL (Transportation Science and Logistics society of INFORMS). As EURO President she founded the EURO Journal on Transportation and Logistics, the EURO Journal on Computational Optimization and the EURO Journal on Decision Processes. Grazia’s research focuses on mixed integer programming and combinatorial optimization with applications to transportation, supply chain management, scheduling and portfolio selection. She models real problems, designs exact and heuristic algorithms, and applies worst-case analysis to off-line problems and competitive analysis to on-line problems. Recent research is oriented towards the study of routing problems enabled by technological developments. Grazia is author of about 200 papers that appeared in international journals and volumes. She has been plenary speaker at several international conferences and member of the scientific committee of the major international conferences in the field. She was visiting professor at the London School of Economics and at Brunel University during her sabbatical and has given talks and seminars at many universities around the world. She has been guest editor of special issues of journals, editor of several international journals and is co-editor-in-chief of the series of books ‘EURO Advanced Tutorials in Operational Research’. Grazie has been a member of many evaluation committees, including the European Research Council (ERC) mathematics panel. She is included in https://100esperte.it/ and in the book ‘100 donne contro gli stereotipi per la scienza', Egea, 2017 as one of the best 100 Italian women in the STEM area. In 2019 she was awarded with the Laurea honoris causa by the University of Freiburg, Switzerland. She is a member of the Academy of Sciences of the University of Bologna.
Abstract
Technological changes have been dramatic in the last decades. The Internet of Things (IoT) makes also objects and places capable of receiving, storing and transmitting information. Coordination opportunities are enormous in all fields. The technological developments are changing the way people and freight move. Analytics, and optimization in particular, are aimed at extracting value from the so called ‘big data’. A systemic approach to problems and advanced analytical methods are even more vital than in the past. In this talk the main trends in transportation and logistics will be presented and some research directions will be discussed with examples of integrated and collaborative problems in transportation and logistics.
Factories of the Future Through AI-driven Smart Manufacturing
Lihui Wang
KTH Royal Institute of Technology
Sweden
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Brief Bio
Lihui Wang is a Professor and Chair of Sustainable Manufacturing at KTH Royal Institute of Technology, Sweden. His research interests are presently focused on human-robot collaborations, brain robotics, cyber-physical production systems, real-time monitoring and control, predictive maintenance, and adaptive manufacturing systems. Professor Wang is actively engaged in various professional activities. He is the Editor-in-Chief of International Journal of Manufacturing Research, Editor-in-Chief of Journal of Manufacturing Systems, and Editor-in-Chief of Robotics and Computer-Integrated Manufacturing. He has published 10 books and authored in excess of 600 publications. Professor Wang is a Fellow of Canadian Academy of Engineering, CIRP, SME and ASME, as well as a Professional Engineer in Canada. He was the President (2020-2021) of North American Manufacturing Research Institution, and the Chairman (2018-2020) of Swedish Production Academy.
Abstract
Smart manufacturing depends on the timely acquisition, distribution, and utilisation of information from machines and processes from manufacturing shop floors and across product lifecycles. This is especially true for factories of the future. Effective information sharing can improve production quality, reliability, resource efficiency and the recyclability of end-of-life products. Smart manufacturing built on digitalisation also aims for better sustainability. As emerging infrastructures, cyber-physical systems and cloud manufacturing provide new opportunities to achieve the goals of smart manufacturing, where digital twin and human-robot collaboration add values to manufacturing operations. For the sake of the audience with diverse background, the following topics will be covered in this talk:
• A brief overview of manufacturing and AI history;
• Current status and movements towards smart manufacturing;
• Latest advancement and future opportunities in smart manufacturing;
• Showcases of remote monitoring and control, and human-robot collaboration.
While advanced technologies show great promise, challenges and future trends remain to be identified and will be highlighted in this keynote presentation.