LAST MILE DELIVERY MODEL FOR SUSTAINABLE DEVELOPMENT

Felix Mora-Camino , Jean-Louis Raoul , Bruno Lamiscarre , Georges Mykoniatis (1)

1 ENAC - Ecole Nationale de l'Aviation Civile

Last mile delivery is defined as the movement of goods to/from a transportation hub from/to final delivery destinations, this part of the logistics chain being in general for many fields of logistics the more problematic and costly. Latest technologies are providing new means for collecting and exchanging information as well as for delivering logistics services. For example, advanced drone technology can produce today logistics solutions considering that UAVs can now provide acceptable payloads, autonomy and collision avoidance capabilities. This technology appears to be an opportunity to reduce the last mile logistics costs as well as to contribute to sustainability objectives. This paper focuses on the development of a methodology to design last mile logistics based on a hybrid solution composed of ground vehicles addressing the planned demand and of UAVs processing the unplanned demand. The ultimate objective of this study being to estimate the generated UAVs traffic in the urban space, a global continuous approach is adopted. The ground LMD routing and scheduling activities are considered globally using an empirical formula relating the minimum cost route operation in a dense urban area with the mean distance necessary to serve a customer. The UAV LMD activity, which here almost exclusively supports the unplanned demand, is analyzed globally using a stochastic model. In both cases, the generated traffic is estimated and performance indexes, related to the quality of service and the environmental impact, are produced.

Mots clés: last mile logistics (LMD); unmanned aerial vehicles (UAV); sustainability; BHH theorem; stochastic processes

Domaines: Optimisation et contrôle [math.OC]

Felix Mora-Camino, Jean-Louis Raoul, Bruno Lamiscarre, Georges Mykoniatis. LAST MILE DELIVERY MODEL FOR SUSTAINABLE DEVELOPMENT. 9th International Conference on Experiments/Process/System Modeling/Simulation/Optimization, Jul 2021, Athens, Greece. ⟨hal-03313087⟩