MechE Seminar: Advancing the circularity and sustainability of production systems in the industry 4.0
Event details
| Date | 15.02.2022 |
| Hour | 16:15 › 17:15 |
| Speaker | Dr. Michael Saidani, Department of Industrial and Enterprise Systems Engineering, University of Illinois Urbana-Champaign |
| Location | Online |
| Category | Conferences - Seminars |
| Event Language | English |
Abstract: Having the right methods and tools is key to ensuring the sustainable design and manufacture of product systems.
In the first part of this research seminar, state-of-the-art industrial ecology tools – such as life cycle assessment (LCA), an ISO-standardized tool, material flow analysis (MFA), and circularity indicators – will be introduced, and Dr. Michael Saidani will showcase how they can be deployed to enhance the circularity and sustainability of products, using two real-world examples: (i) a catalytic converter (Liebherr Machines Bulle), (ii) a product family of lawn mowers (John Deere).
Meanwhile, new digital technologies and recent advances in artificial intelligence (AI) and machine learning (ML) are enabling cutting-edge opportunities for higher sustainability of production systems, as well as novel challenges for researchers and industrial practitioners.
In the second part of this research seminar, Dr Michael Saidani will explore how LCA and ML can be combined to further drive product sustainable design and manufacturing. The approach will be illustrated through two case studies: (i) the application of natural language processing (NLP) techniques on product reviews (using an Amazon Climate Pledge Friendly product and its conventional counterpart), (ii) the use of deep learning-based computer vision (CV) to automatically assess the wear state of a machining tool and determine process improvements accordingly, leading to a reduction of the carbon footprint of the production system.
Bio: Dr. Michael Saidani is a Postdoctoral Research Associate at the University of Illinois Urbana-Champaign in the Department of Industrial and Enterprise Systems Engineering. His research aims to advance the sustainable design, manufacturing, usage, and end-of-life of complex products, working in close collaboration with industrial partners (John Deere, Brunswick, Manitou, Liebherr, REMADE Institute). His research efforts particularly address the implementation of circular economy (CE) principles. In his most recent work, he is exploring the combination of life cycle assessment (LCA) and machine learning techniques to further drive the sustainability performance of production systems. Dr. Michael Saidani holds a PhD in Industrial Engineering from Paris-Saclay University. During his PhD thesis, he received a Fulbright grant to pursue his research at the University of California-Davis within the Industrial Ecology Department. Prior to his research career, he successfully initiated, developed, and implemented an eco-design approach in the industry at Liebherr Machines Bulle. Dr. Michael Saidani is a member of the Design Society, EcoSD Network, the American Center for LCA, and the Society of Environmental Toxicology and Chemistry, where he is co-chairing the Interest Group working on CE and LCA. He can be contacted at [email protected].
In the first part of this research seminar, state-of-the-art industrial ecology tools – such as life cycle assessment (LCA), an ISO-standardized tool, material flow analysis (MFA), and circularity indicators – will be introduced, and Dr. Michael Saidani will showcase how they can be deployed to enhance the circularity and sustainability of products, using two real-world examples: (i) a catalytic converter (Liebherr Machines Bulle), (ii) a product family of lawn mowers (John Deere).
Meanwhile, new digital technologies and recent advances in artificial intelligence (AI) and machine learning (ML) are enabling cutting-edge opportunities for higher sustainability of production systems, as well as novel challenges for researchers and industrial practitioners.
In the second part of this research seminar, Dr Michael Saidani will explore how LCA and ML can be combined to further drive product sustainable design and manufacturing. The approach will be illustrated through two case studies: (i) the application of natural language processing (NLP) techniques on product reviews (using an Amazon Climate Pledge Friendly product and its conventional counterpart), (ii) the use of deep learning-based computer vision (CV) to automatically assess the wear state of a machining tool and determine process improvements accordingly, leading to a reduction of the carbon footprint of the production system.
Bio: Dr. Michael Saidani is a Postdoctoral Research Associate at the University of Illinois Urbana-Champaign in the Department of Industrial and Enterprise Systems Engineering. His research aims to advance the sustainable design, manufacturing, usage, and end-of-life of complex products, working in close collaboration with industrial partners (John Deere, Brunswick, Manitou, Liebherr, REMADE Institute). His research efforts particularly address the implementation of circular economy (CE) principles. In his most recent work, he is exploring the combination of life cycle assessment (LCA) and machine learning techniques to further drive the sustainability performance of production systems. Dr. Michael Saidani holds a PhD in Industrial Engineering from Paris-Saclay University. During his PhD thesis, he received a Fulbright grant to pursue his research at the University of California-Davis within the Industrial Ecology Department. Prior to his research career, he successfully initiated, developed, and implemented an eco-design approach in the industry at Liebherr Machines Bulle. Dr. Michael Saidani is a member of the Design Society, EcoSD Network, the American Center for LCA, and the Society of Environmental Toxicology and Chemistry, where he is co-chairing the Interest Group working on CE and LCA. He can be contacted at [email protected].
Practical information
- General public
- Free