LOG904-127 Last Mile Delivery: Data Analytics and Models (Autumn 2021)

Course content (abstract): Last mile delivery, the final component of the supply chain, has the mission of achieving the ultimate objective of delivering goods to customers. It constitutes one of the more complex stages of the whole chain, and accounts for a significant fraction of its total cost. Its complexity is a consequence of the specific conditions of the scenarios in which it is done, the urban environments, the factors determining how it is done, e.g. the ad hoc interaction between the implied stakeholders, shippers, carriers, administration and residents, and the peculiarities of the demand and its current trends resulting from the growing of e-commerce.

An efficient management of the last mile delivery should be based on a suitable acquisition of information combined with appropriate models. From the modeling perspective, there is a substantial difference between the conventional location and routing models for delivery services and the street routing and multi echelon models supporting last mile delivery. The information to support decisions comes from the efficient processing of the available data. These processes have evolved recently due to the pervasive penetration of Information and Communication Technologies (ICT) based on mobile devices. Data collection procedures enable gathering huge amount of data that can be analyzed using advanced data analytics techniques to estimate and forecast demand, tacking vehicles and analyzing tracked routes for improved routing models, support real-time services and fleet management among other applications.

The objective of the seminar is to introduce to students the specificities of last mile delivery systems and the appropriate models to deal with them. The technologies, the data that they can supply, the data collection, and the data analytics techniques to process them and generate the required inputs to the decision support models.

Topics covered: Last mile delivery systems, specificities, organizational and operational characteristics. Last mile delivery models: street routing, time-dependent routing, multi-echelon location-routing. ICT applications, data availability and data collection. Extracting information from data to support decisions, applications of principal component analysis, regression, forecasting to last mile demand estimation and forecasting, to travel time analysis, and so on.

• Proportion: 100%
• Duration: -
• Grouping: Group
• Grading scale: Letter (A - F)
• Support material: All printed and written supporting material