(Georgia Institute of Technology, 2021-06)
Xu, Yujia; Xie, Yao; Montreuil, Benoit
Arrival prediction is a vital component in supply chain and logistics. Planning and operational decisions depend on predictions. Hyperconnected logistics enable a new opportunity for prediction by capturing interaction and correlation between different locations and over time in the network. Arrivals at one location may have a non-homogeneous influence on future arrivals at other nearby locations.
To capture the temporal dependence of past events, we aim to Introduce a simple arrival distribution prediction approach; Propose a novel method to model and predict arrival events from spatio temporal sequential data based on a spatio-temporal interactive Bernoulli process, which can capture the spatio-temporal correlations and interactions without assuming time-decaying influence; Make arrival predictions for any locations at any future time.
(Georgia Institute of Technology, 2021-06)
Klibi, Walid; Labarthe, Olivier; Ahmadi, Ghazaleh; Deschamps, Jean-Christophe; Montreuil, Benoit
Investigates the feasibility of goods transshipment with a joint usage of public mobility and freight urban vehicles. Assesses the potential benefit of a joint mobility system for goods delivery in urban areas.
(Georgia Institute of Technology, 2021-06)
Grover, Nidhima; Montreuil, Benoit
Challenges: Emptiness in trucks: They are 40-60% full, 2) Non standardization in unit loads, 3) Unreliable service levels. Objectives: 1) Select appropriate sized containers, 2) Ensure timely departure of parcels, 3) Improve packing in vehicles and containers.