New Approaches for Managing Logistics Systems: How Automation May Integrate Information, Communication Technologies and Remote Sensing
Logistics systems of the future are expected to provide resource-efficient, sustainable, safe, equitable and timely handling of goods and management services for the benefit of economy and society, in order to support global supply chains and multimodal transportation systems. The increasing availability of artificial intelligence technologies, such as remote sensing, information and communication tools, big data, blockchain, Internet of Things and machine learning, can capture, elaborate and communicate historical and real-time data and provide opportunities for establishing cloud-based and collaborative logistic ecosystems.
This talk will present how automation science has potential to enhance the performance of logistics systems by providing novel, integrated hardware and software solutions that affect the economics of different segments of the logistics chain and transportation, by improving throughput and reducing resource requirements and environmental impact.
Moreover, the talk will consider innovative management techniques and services based on the modern communications, remote sensing, automation and Internet of Things technologies, that are suitable for helping stakeholders and decision makers to manage and optimize logistics systems. Hence, the presentation will focus on the design of cloud-based platforms and Decision Support Systems enabling the integration of supply-chain-related transport processes through artificial intelligence solutions. In this context, some recent results and outcomes obtained in European projects will be discussed.
Maria Pia Fanti received the Laurea degree in electronic engineering from the University of Pisa, Pisa, Italy, in 1983.
She was a visiting researcher at the Rensselaer Polytechnic Institute of Troy, New York, in 1999. Since 1983, she has been with the Department of Electrical and Information Engineering of the Polytechnic of Bari, Italy, where she is currently a Full Professor of system and control engineering and Chair of the Laboratory of Automation and Control.
Her research interests include discrete-event systems; Petri net; consensus protocols; fault detection; management and modeling of complex systems, such as production systems, logistic and healthcare systems.
She has published +270 papers and two textbooks on these topics.
Prof. Fanti was General Chair of the 2011 IEEE Conference on Automation Science and Engineering and of the IFAC Workshop on Dependable Control of Discrete Systems 2009. She is Editor of the IEEE Trans. on Automation Science and Engineering and Associate Editor of the IEEE Trans. on Systems, Man, and Cybernetics: Systems. She is member at large of the Board of Governors of the IEEE SMC Society, Co-Chair of the Technical committee on Discrete Event Systems of the IEEE SMC Society, and of the Technical Committee on Automation in Logistics of the IEEE Robotics and Automation Society.