FRSC, FIVA, FCAE, FCIRP, FCSME, FSME, PEng
Distinguished University Professor,
Director, Intelligent Manufacturing Systems (IMS) Centre,
Department of Mechanical, Automotive and Materials Engineering,
University of Windsor, Canada
Abstract: Innovation and transformative changes in products, manufacturing technologies, business strategies and manufacturing paradigms have profoundly changed the manufacturing systems. The shift to economically and environmentally sustainable manufacturing systems and using smart technologies for better support and complimentary collaboration between humans and machines is discussed. A vision for future intelligent adaptation and resilience of manufacturing systems in the face of change and disruptions is elaborated and its enablers are outlined. Perspectives and insights on related future research and role of humans in manufacturing systems are offered.
Hoda ElMaraghy is a Distinguished University Professor and founding Director of the Intelligent Manufacturing Systems (IMS) Center at the University of Windsor where she became the first woman Dean of Engineering in Canada. She is member of the Order of Canada (O.C.) and the Order of Ontario (O.Ont.) for outstanding achievements and contributions to knowledge and industrial advancement. Professor ElMaraghy is a renowned scholar and research innovator, an inspiring educator, leader and role model, whose seminal contributions have been recognized nationally and internationally with numerous prestigious awards and accolades. Dr. ElMaraghy held Tier I Canada Research Chair in Manufacturing Systems for 14 years. She received an Honorary Doctorate from Chalmers University in Sweden. Her current research includes manufacturing systems paradigms; evolution and co-evolution/ co-development of products and manufacturing systems using principles of natural evolution. She supervised more than 100 researchers and has more than 500 publications. She delivered numerous keynote papers and serves on several scientific journals’ editorial boards.
Dr. ElMaraghy is a Fellow of the Royal Society of Canada (RSC), Royal Swedish Academy of Engineering Sciences (IVA), International Academy of Production Engineering (CIRP), Canadian Academy of Engineering (CAE), Canadian Society of Mechanical Engineers (CSME) and Society of Manufacturing Engineers (SME).
Abstract: In this talk, we discuss fundamental theoretical constructs and practical applications to engineer and manage disruption-resistant supply chain networks to mitigate the ripple effects in the context of the COVID-19 pandemic. We collate and review the existing knowledge in modeling the ripple effect in supply chains at different pandemic stages. Subsequently, we debate about extensions of the existing theories and practices of supply chain resilience towards viability. We present the Viable Supply Chain model and associated concepts of structure dynamics control, intertwined supply networks, and reconfigurable supply chains. Finally, we discuss the role of digital supply chain twins and platforms in managing resilience and viability at the times of super disruptions, and project the lessons learned during the COVID-19 pandemic on possible future stressors to supply chains such as climate change challenges.
Prof. Dr. Dr. habil. Dmitry Ivanov is professor for Supply Chain and Operations Management, deputy director and executive board member of Institute for Logistics (IfL) at Berlin School of Economics and Law (Germany). His main research interests and results span the ripple effect in supply chains, supply chain resilience and viability, smart manufacturing and Industry 4.0, and digital supply chain twins.
He gained Dr., Dr. Sc., and Dr. habil. degrees and won several research excellence awards. His research record counts around 350 publications, with more than 100 papers in prestigious academic journals and the leading books “Global Supply Chain and Operations Management” (three editions), “Introduction to Supply Chain Resilience”, “Structural Dynamics and Resilience in Supply Chain Risk Management“, “Scheduling in Industry 4.0 and Cloud Manufacturing” and “Handbook of Ripple Effects in the Supply Chain“. He serves to international research community by leading working groups, tracks and sessions on the Supply Chain Resilience and Digital Supply Chain. He delivered invited plenary, keynote and panel talks at the conferences of INFORMS, IFPR, DSI, and IFAC. He co-edits International Journal of Integrated Supply Management and is an associate editor of the International Journal of Production Research, International Transactions in Operational Research, and International Journal of Systems Science, and guest editor in many international journals. He is Chairman of IFAC TC 5.2 “Manufacturing Modeling for Management and Control” and has been General Conference Chair of 9th IFAC MIM 2019 conference as well as IPC and advisory board member of over 60 international conferences.
Abstract: Digitization is profoundly impacting manufacturing enterprises. Two extreme enterprise architectures are emerging, open and integrated. The open architecture benefits from digitization of enterprise processes, supported by resource sharing and sustainability initiatives. The integrated architecture internalizes the benefits of digitization to maintain competitive advantage of an enterprise. Digitization as an enabler of cloud representation of enterprises of any size, from small to large, calls for modeling.
Model-based system engineering offers methodologies of interest to digital manufacturing. Applications of model-based system engineering in building enterprise models are presented. The opportunities and challenges of enterprise modeling are discussed. Building digital models is elaborate and could be expensive. Insights into autonomous building of such models are provided. Future developments in digital manufacturing are presented.
Dr. Andrew Kusiak is a Professor in the Department of Mechanical and Industrial Engineering at The University of Iowa, Iowa City and Director of the Intelligent Systems Laboratory. He has chaired two departments, Industrial Engineering (1988-95) and Mechanical and Industrial Engineering (2010-15). His current research interests include applications of computational intelligence and big data in automation, manufacturing, product development, renewable energy, sustainability, and healthcare. He has published numerous books and hundreds of technical papers in journals sponsored by professional societies, such as the Association for the Advancement of Artificial Intelligence, the American Society of Mechanical Engineers, Institute of Industrial Engineers, Institute of Electrical and Electronics Engineers, Nature, and other societies. He speaks frequently at international meetings, conducts professional seminars, and consults for industrial corporations. Dr. Kusiak has served in elected professional society positions as well as various editorial boards of over fifty journals, including five different IEEE Transactions.
Besides his academic appointment at the University of Iowa, his past academic appointments, include the Technical University of Nova Scotia (now Dalhousie University) and the University of Manitoba in Canada. He has held distinguished research professorships at the Huazhong University of Science and Technology (China), University of Hong Kong (SAR), and King Abdulaziz University (Saudi Arabia) as well as visiting positions at the University of Lyon, Institut National Polytechnique de Grenoble, University of Nancy (France), and the University of Montreal (Canada). His graduate students have assumed prominent positions in academia and industry. Dr. Kusiak has co-advised PhD students at the University on Munich (Germany) and Institut National Polytechnique de Grenoble (France). His lab has hosted numerus visitors from different countries. Professor Kusiak is a Fellow of the Institute of Industrial and Systems Engineers and the Editor-in-Chief of the Journal of Intelligent Manufacturing.
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