Title of presentation: AI and ML in Manufacturing – Is there Life after Deep Learning?
This talk will explore the application of AI and ML in Manufacturing leading to Smart Manufacturing. In specific we address some of the success stories from the theoretical and applications point of view. We will address the pitfalls and examine reality Vs. hype. We will investigate the futuristic landscape from a socio political and economic viewpoint. We will focus on deep learning and ask the question on what other methods can also help manufacturing.Mobirise offers several themes that include sliders, galleries, article blocks, counters, accordions, video, animated text, live filtered tables, shop, contact forms, lightbox, testimonials, timelines, google map, progress bars and more.
Allen, E., and Allen, M., Pearce Professor of Industrial Engineering
Professor of IST (Affiliate)
The Pennsylvania State University
University Park, PA 16802, USA
Title of presentation: Integration and Interoperability in Automated and Smart Manufacturing Systems
Systems integration and interoperability, although different but complementary, have a lot in common and sometimes overlap either in terms of concepts, principles or technologies. Integration is about "joining entities together to make one, i.e. a seamless whole", while interoperability is about "using data/information/knowledge or functionality from others with minimum efforts". Both contribute to fluidify information/decision/control flows and improve interoperations within or across systems. Largely based on Information & Communications Technologies (ICTs) as well as systems sciences and organisation sciences, both have significantly contributed to major advances on automated systems over the last 40 years. This has concerned many application domains but more specifically industrial and manufacturing automation (from CAD/CAM integration, CIM, integrated and interoperable manufacturing systems, supply chains or collaborative networked organisations up to emerging Industry 4.0 and Smart Manufacturing environments). The talk will review and analyse these concepts in the context of Automated and Smart Manufacturing Systems, explaining their different dimensions and levels of applicability and highlighting essential technologies required to support horizontal and vertical integration, either in terms of communication, coordination, cooperation or collaboration (or the 4 C's). It will then investigate how these concepts can contribute and should evolve to foster developments of I4.0 and Smart Manufacturing. Finally, it will conclude with some personal thoughts on the cooperation between humans, robots and smart devices in the Factories of the Future.
Dr François Vernadat is a French and Canadian citizen. He has obtained his Ph.D. in 1981and then has been a research officer, first at the National Research Council of Canada (NRCC), Ottawa, in the 80’s and then at the Institut National de Recherche en Informatique et Automatique (INRIA), France, in the 90’s. In 1995, he has been appointed full professor at the University of Lorraine, Metz, France in automatic control and industrial engineering. Since 2001, he has held several management positions in IT departments of the European institutions in Luxemburg. His main research contributions dealt with manufacturing information systems, CIM, enterprise modelling and integration, enterprise architectures (CIMOSA and CEAF) and systems interoperability. His recent work concerns industrial performance measurement and management. He has lectured in many countries in Europe, North, Latin and South Americas, China and North Africa. He has consulted several large and medium-sized companies in France and Canada (automotive industry, aeronautics industry and software editors). He is the author of over 300 scientific papers in journals, conferences and edited books. He is the author of the textbook "Enterprise Modeling and Integration: Principles and Applications" and co-author of the book "Practice of Petri nets in Manufacturing" published by Chapman & Hall. He has been adviser for International Journal of Computer Integrated Manufacturing (IJCIM), associate editor for Computers in Industry, International Journal of Production Research, Enterprise Information Systems, Journal of Industrial Information Integration and area editor of Computers and Industrial Engineering. He served several technical committees of IFAC (TC 5.2 and TC 5.3) as vice-chairman, has been a member of IEEE, ACM and SME and he has been chairman/co-chairman and keynote speaker of several international conferences on industrial engineering.
Title of presentation: How to Optimize Production Processes Systematically based on methods of Artificial Intelligence and Machine Learning?
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