Organizational Unit:
Supply Chain and Logistics Institute
Supply Chain and Logistics Institute
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ItemSpatio-temporal Arrival Prediction over Hyperconnected Logistics Networks(Georgia Institute of Technology, 2021-06) Xu, Yujia ; Xie, Yao ; Montreuil, BenoitArrival 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.
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ItemBuilding on Synergies between Freight Logistics and People Mobility in Urban Areas(Georgia Institute of Technology, 2021-06) Klibi, Walid ; Labarthe, Olivier ; Ahmadi, Ghazaleh ; Deschamps, Jean-Christophe ; Montreuil, BenoitInvestigates 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.
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ItemDynamic Consolidation and Packing of Parcels in Modular Physical Internet Handling Containers(Georgia Institute of Technology, 2021-06) Grover, Nidhima ; Montreuil, BenoitChallenges: 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.