Research Article
Comparison of Efficient Planning and Optimization Methods of Last Mile Delivery Resources
@INPROCEEDINGS{10.1007/978-3-030-68737-3_11, author={J. A. Maestro and S. Rodriguez and R. Casado and J. Prieto and J. M. Corchado}, title={Comparison of Efficient Planning and Optimization Methods of Last Mile Delivery Resources}, proceedings={Broadband Communications, Networks, and Systems. 11th EAI International Conference, BROADNETS 2020, Qingdao, China, December 11--12, 2020, Proceedings}, proceedings_a={BROADNETS}, year={2021}, month={2}, keywords={Multi-Agent Systems Last mile delivery Planning optimization Cloud computing}, doi={10.1007/978-3-030-68737-3_11} }- J. A. Maestro
S. Rodriguez
R. Casado
J. Prieto
J. M. Corchado
Year: 2021
Comparison of Efficient Planning and Optimization Methods of Last Mile Delivery Resources
BROADNETS
Springer
DOI: 10.1007/978-3-030-68737-3_11
Abstract
A review of recent Last Mile Delivery optimization proposals is presented. The proposals are classified according to the criteria of collaboration, ranging from optimization of a single route to the integration of multiple carriers. An alternative proposal is presented, based also on collaboration, but which does not involve either integration into a single organization or sharing of its resources. Each carrier is represented as a Virtual Organization of Agents (VO). A global optimizer, also a VO, oversees the search for deliveries that can be better delivered by another carrier and new routes are calculated based on a win-win approach. This approach has the advantages of being easily configurable by integrating or removing the VO of each carrier, highly distributable using a cloud infrastructure, easily scalable both for physical areas and computational resources using the cloud infrastructure in case more computational power is needed. It also allows the sharing of the least amount of information possible among carriers, so that they only know about the deliveries that they are losing or gaining.
