Wir freuen uns sehr Dr. Daniele Manerba, University of Brescia, Italy auf Einladung von Herrn Prof. Dr. Moritz Fleischmann im Rahmen des CDSB-Seminars begrüßen zu dürfen.
Herr Dr. Daniele Manerba, University of Brescia, Italy, wird einen Vortrag zum Thema „ Synchronization failures management through an Attended Home Delivery problem with Customer Availability Profiles and multiple recovery options " halten.
Der Vortrag findet am Donnerstag, den 19.09., von 12:30 bis 13:30 Uhr im Raum O 133 statt.
Abstract
Attended Home Delivery (AHD) is a last-mile delivery paradigm in which the presence at home of the customer is required when the courier starts its service. In such a context, synchronization failures (i.e., missed deliveries) strongly and negatively impact both customer satisfaction and delivery costs, and should be considered explicitly. Hence, in this work, by assuming that customers do not select a single time-slot for the delivery but provide a profile of availability over the working day, we study a routing and scheduling problem as a supporting tool for companies that want to ensure timely services within the complex AHD setting. The problem considers multiple recovery options against the failures (e.g., leaving the package in a safe spot, scheduling a second delivery attempt in a different time-slot, or directing the package to a designated collection point) and pursues the double objective of minimizing the delivery costs and the expected failures penalty. We present a Mixed-Integer Linear Programming formulation and different solution approaches, based on various exact or heuristic technologies, to address real-size instances of the problem. Moreover, we develop a multi-attribute analysis to obtain useful economic and managerial insights.
Speaker Bio
Daniele Manerba is Associate Professor of Operations Research at the Dept. of Information Engineering (DII) of Università degli Studi di Brescia, Italy. He has also been researcher at Politecnico di Torino, Italy, and at the Interuniversity Research Center on Enterprise Networks, Logistics and Transportation (CIRRELT) in Montréal, Canada. He is currently Research Unit leader of the PRIN2020 project „ULTRAOPTYMAL“ and has been WP leader of the European H2020 project „SYNCHRO-NET“.
He has coauthored more than 40 scientific publications, on journals and proceedings, and more than 60 works presented during conferences. His main research interest is the development and application of mathematical and stochastic programming methods to combinatorial optimization problems in logistics, transportation, scheduling, and location.