Efficient Navigation for Parcel Delivery

Abstract The rapid growth of delivery services has driven the demand for innovative strategies to improve logistics efficiency. The team delivery approach presents new opportunities for optimization. This study proposes a method for deriving efficient delivery navigation to reduce task completion times. A novel evaluation index is formulated, and a simulation is conducted to compare the proposed method with existing operations. We will demonstrate that the optimized delivery paths derived from the method significantly streamline delivery tasks. Future work will refine the simulation to incorporate diverse parcel types and additional parameters, further enhancing its practical applicability in dynamic delivery environments.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-04
DOI
https://doi.org/10.5281/zenodo.15351441
Primary Topic
Geographic Information Systems Studies
Type
article
Field-Weighted Citation Impact
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Efficient Navigation for Parcel Delivery

Zenodo (CERN European Organization for Nuclear Research)
Geographic Information Systems Studies
article

Efficient Navigation for Parcel Delivery

article en

Abstract

Abstract The rapid growth of delivery services has driven the demand for innovative strategies to improve logistics efficiency. The team delivery approach presents new opportunities for optimization. This study proposes a method for deriving efficient delivery navigation to reduce task completion times. A novel evaluation index is formulated, and a simulation is conducted to compare the proposed method with existing operations. We will demonstrate that the optimized delivery paths derived from the method significantly streamline delivery tasks. Future work will refine the simulation to incorporate diverse parcel types and additional parameters, further enhancing its practical applicability in dynamic delivery environments.

Zenodo (CERN European Organization for Nuclear Research)
Tokyo Institute of Technology (JP)
Industry, innovation and infrastructure
Openalex Percentile: Top 46%
Geographic Information Systems Studies
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