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Promet - Traffic&Transportation journal

Accelerating Discoveries in Traffic Science

Accelerating Discoveries in Traffic Science

PUBLISHED
18.11.2020
LICENSE
Copyright (c) 2024 Yang Wang, Mengyu Bi, Yanyan Chen

A Scheduling Strategy of Mobile Parcel Lockers for the Last Mile Delivery Problem

Authors:

Yang Wang
Beijing University of Technology

Mengyu Bi
Beijing University of Technology

Yanyan Chen
Beijing University of Technology

Keywords:last mile delivery, mobile parcel lockers, scheduling optimization, embedded genetic algorithm, time windows

Abstract

In the form of unattended Collection-and-Delivery Points (CDP), the fixed parcel lockers can save courier miles and improve the delivery efficiency. However, due to the fixed location and combination, the fixed parcel locker cannot accommodate the change of demands effectively. In this paper, an approach to supplementing fixed lockers by mobile parcel lockers to meet the demands of the last mile delivery has been proposed. With the goal of minimizing the operating cost, the location and route optimization problems of mobile parcel lockers are integrated into a non-linear integer programming model. An embedded GA has been developed to optimally determine the locations of distribution points, the number of mobile parcel lockers needed by each distribution point and the schedules and routes of mobile parcel lockers, simultaneously. Finally, a numerical example is given to compare the optimization results of the schemes with and without the aggregation problem. The results show that the scheme with the aggregation problem can greatly save the delivery time. However, for the scheme without the aggregation problem, time windows are more continuous, so it saves the number of vehicles.

References

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How to Cite
Wang, Y. (et al.) 2020. A Scheduling Strategy of Mobile Parcel Lockers for the Last Mile Delivery Problem. Traffic&Transportation Journal. 32, 6 (Nov. 2020), 875-885. DOI: https://doi.org/10.7307/ptt.v32i6.3531.

SPECIAL ISSUE IS OUT

Guest Editor: Eleonora Papadimitriou, PhD

Editors: Marko Matulin, PhD, Dario Babić, PhD, Marko Ševrović, PhD


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