As the digital, physical and human worlds continue to integrate, we experience a deep transformation in industry, which far-reaches into our lives. The 4th industrial revolution, the internet of things and big data, the industrial internet, are changing the way we design, manufacture, provide products and services. This is creating a complex network of things and people that are seamlessly connected and communicating. It is providing opportunities to make productions systems more efficient and faster, and more flexible and resilient the complex supply chains and distribution networks that tie the global economy.
In this fast-pace changing environment, the key performance indicators related to safety, reliability, maintainability of components and systems continue to play a fundamental role for industry. The innovations that are being developed have high potential of increased wellbeing and benefits, rendering everything “better and smarter”, but also generating new and unknown failure mechanisms, new and unknown functional and structural dependencies, and eventually new and unknown hazards and risks. On the other hand, the advancements in knowledge, methods and techniques, the increase in information sharing and data availability, offer new opportunities of analysis for optimal design, operation and maintenance of modern system engineering and industry. Then, a new “revolution” is in the making for addressing the challenges brought about by the new and evolved, complex systems (and systems of systems), and the innovations therein; this calls for and, at the same time, drives the advancements of new methods and tools of complex system analysis, and the extension of their applications, based on the increased knowledge, information and data (KID) available, which can improve our system behavior understanding capability in support to decision making.
In this talk, we will consider the above context and address some challenges and opportunities for complex system engineering, focusing on desired attributes of safety, reliability, maintainability but also resilience and flexibility.
Prof. Enrico Zio received the Nuclear Engineer degree from Politecnico di Milano, Milano, Italy, in 1991; the M.Sc. degree in mechanical engineering from the University of California, Los Angeles, USA, in 1995; the Ph.D. degree in nuclear engineering from Politecnico di Milano in 1995; and the Ph.D. degree in probabilistic risk assessment from the Massachusetts Institute of Technology, Cambridge, MA, USA, in 1998.
He is a Full Professor at Politecnico di Milano, and Director of the Chair on Complex Systems and the Energy Challenge at EcoleCentrale Paris and Supelec, Fondation Europeenne pour l'Energie Nouvelle -EdF., 2010. In 2012, he founded the Advanced Reliability, Availability and Maintainability of Industries and Services (ARAMIS) srl. He is a co-author of seven books and co-author of more than 250 papers in international journals. He is also Chairman or Co-Chairman of several international conferences and referee of more than 20 international journals.
His research focuses on the characterization and modeling of the failure/repair/maintenance behavior of components, complex systems and critical infrastructures for the study of their reliability, availability, maintainability, prognostics, safety, vulnerability and security, mostly using a computational approach based on advanced Monte Carlo simulation methods, soft computing techniques and optimization heuristics.
Reliability and Risk Analysis of Nuclear and Industrial Components and Systems Research Group, Politecnico di Milano.
The Public Lecture is open to all interested participants. If you plan to attend, we kindly request you to send an email to Tuomas Lahtinen (firstname.lastname@example.org).
After the lecture there will be an opportunity for informal discussions while enjoying some refreshments.
At noon on Thursday, November 10th 2016, Prof. Zio will be the official opponent in the public defence of Antti Toppila's Doctoral Dissertation entitled Robust reliability and resource allocation - Models and algorithms (Lecture Hall H304, Otakaari 1). You are most welcome to attend this public defence.
The growing challenge of our time is the need to have the ability to see and manage wholes, i.e. systems. The Aalto Systems Forum aims to be a platform of dialogue for practitioners and researchers to share the latest results of the field by top international scholars.
Aalto Systems Forum is organized by the Systems Analysis Laboratory research group at the Department of Mathematics and Systems Analysis of Aalto University School of Science. http://www.sal.hut.fi/en/aaltosystemsforum /