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4091. Enhancing Parcel Pickup and Delivery Services with UAV Integration
Invited abstract in session WA-40: Equilibrium detection in applications, stream Interfaces Between Optimization, Hierarchical Problems and Equilibrium Detection with Applications.
Wednesday, 8:30-10:00Room: 96 (building: 306)
Authors (first author is the speaker)
| 1. | Gabriella Colajanni
|
| Department of Mathematics and Computer Science, University of Catania | |
| 2. | Patrizia Daniele
|
| Department of Mathematics and Computer Science, University of Catania | |
| 3. | Francesco Schillaci
|
| Business Software Solution srl |
Abstract
The optimization of parcel pickup and delivery services aims to enhance efficiency, reliability, and cost-effectiveness across the logistics process, encompassing route optimization, delivery time reduction, and cost minimization.
This study delves into optimizing parcel services by integrating Unmanned Aerial Vehicles (UAVs), commonly referred to as drones, into logistics operations, with a specific focus on the last-mile delivery segment. The research endeavors to bolster the efficiency, dependability, and cost-efficiency of the entire delivery chain.
We examine a hybrid hierarchical system that amalgamates drones with conventional delivery methods to efficiently transport parcels from their origin points to final destinations, thereby curbing costs and enhancing delivery timelines. The study presents a constrained optimization problem along with its variational formulation.
Numerical simulations underscore how the incorporation of drones into multi-layered parcel delivery networks offers a promising avenue to elevate the efficiency, velocity, and adaptability of parcel delivery systems. This innovative approach empowers companies to overcome logistical hurdles, extend their operational footprint to remote areas, substantially diminish environmental emissions, and refine delivery timelines, particularly for last-mile deliveries.
Keywords
- Optimization Modeling
- Supply Chain Management
- Programming, Multi-Objective
Status: accepted
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