Title:
Dynamic resource deployment in hyperconnected parcel logistic hub networks
Dynamic resource deployment in hyperconnected parcel logistic hub networks
Author(s)
Xu, Yujia
Klibi, Walid
Montreuil, Benoit
Klibi, Walid
Montreuil, Benoit
Advisor(s)
Editor(s)
Collections
Supplementary to
Abstract
With the development of e-commerce, one of the major challenges for many parcel logistics companies has revealed to be designing reliable and flexible scheduling and deployment approaches and algorithms to meet uncertainties of parcel arrivals and resource availability in logistic hubs. In this Paper, we want to present models to spatiotemporally adjust the available resource, like workforce and robots, across hyperconnected logistic hub networks using a rolling horizon approach. In most traditional parcel logistic hubs, workers are hired to enable the sorting, consolidation, transshipment, and crossdocking of parcels, and most resource scheduling is periodic (e.g., daily) and limited to single facility, thus the number of required resources in each hub is constrained to meet the peak demand with high variance. We here propose dynamic resource scheduling and deployment mechanisms, that are fed with updated data with sensors and dynamically updated parcel arrival predictions at hubs.
Sponsor
Date Issued
2023-06
Extent
Resource Type
Text
Resource Subtype
Paper