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New Approaches for Last Mile Delivery Management

Fri, 04 Jul

|

Online

Discover how Professor Maria Pia Fanti's innovative research combines Digital Twin technology and autonomous robots to revolutionize last-mile delivery challenges in urban environments.

Registration closes 04 Jul 2025, 2:00 pm GMT+2

New Approaches for Last Mile Delivery Management
New Approaches for Last Mile Delivery Management

Time & Location

04 Jul 2025, 1:00 pm – 2:00 pm GMT+2

Online

Date/Time in Local Time Zones

  • Central European Summer Time (CEST) 1:00 PM 4th July 2025

  • Eastern Time (ET) 7:00 AM 4th July 2025

  • Pacific Time (PT) 4:00 AM 4th July 2025

  • China Standard Time (CST) 7:00 PM 4th July 2025

  • Japan Standard Time (JST) 8:00 PM 4th July 2025

  • New Zealand Standard Time (NZST) 11:00 PM 4th July 2025


New Approaches for Last Mile Delivery Management

Maria Pia Fanti, University of Bari

Last-mile delivery has long been a significant challenge in urban logistics, being the last leg of the package's journey from the distribution center to the final addressee. Issues related to the increasing environmental impact, inefficiency of traditional delivery methods, and traffic congestion have highlighted the urgent need for more efficient and sustainable solutions.
This talk presents some recent strategies to solve the last-mile delivery problem based on Digital Twin tools and autonomous robots. An optimization layer determines the optimal routes of the robots, and a simulation model deals in real time with system unpredictable events, such as road traffic and accidents. Some case studies are presented for validating the proposed approaches.

Speaker Biography

Maria Pia Fanti is a Full Professor of System and Control Engineering at the Department of Electrical and Information Engineering of the Polytechnic of Bari, Italy. She received her Laurea degree in Electronic Engineering from the University of Pisa, Italy, in 1983, and later served as a visiting researcher at the Rensselaer Polytechnic Institute of Troy, New York, in 1999. Her academic journey at the Polytechnic of Bari began in 1983, where she progressed from Assistant Professor (1990-1998) to Associate Professor (1998-2012), before attaining her current position.

Prof. Fanti has been recognized as an IEEE Fellow for her significant contributions to modeling and control of discrete event systems. Her extensive research portfolio encompasses discrete event systems, Petri nets, consensus algorithms, networked and control systems, management and modeling of logistic systems, automated manufacturing systems, automatic guided vehicle systems, traffic networks, and healthcare systems.

Throughout her distinguished career, Prof. Fanti has authored 2 books and more than 280 publications, including 85 journal papers and 11 book chapters. Her expertise and dedication to the field are further evidenced by her editorial roles as Editor of IEEE Transactions on Automation Science and Engineering and Associate Editor of IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Prof. Fanti has held numerous leadership positions in prestigious organizations, including Member at Large (2016-2018) of the Board of Governors of the IEEE System, Man, and Cybernetics Society and Member of the Administrative Committee (2018-2020) of the IEEE Robotics and Automation Society. She is also an active member of the Scientific Committee of the Italian Federation of Automatic Control (SIDRA) and the IFAC Technical Committee on Discrete Event and Hybrid Systems. Previously, she served as Co-Chair of the Technical Committee on Discrete Event Systems for the IEEE Systems, Man, and Cybernetics Society and Chair of the Systems, Man, and Cybernetics Society Chapter of the IEEE Central & South Italy Section.

In recognition of her exceptional contributions, Prof. Fanti received the "IEEE SMC Best Associate Editor Award" and the "Most Active Technical Committee Award of the SMC Society" in 2008, further cementing her reputation as a leading figure in her field.

Registration closes 04 Jul 2025, 2:00 pm GMT+2

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