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Author:

Wang, Y. (Wang, Y..) | Bi, M. (Bi, M..) | Chen, Y. (Chen, Y..)

Indexed by:

Scopus

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 ef-fectively. 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. © 2020, Faculty of Transport and Traffic Engineering. All rights reserved.

Keyword:

Mobile parcel lockers Scheduling optimization Time windows Embedded genetic algorithm Last mile delivery

Author Community:

  • [ 1 ] [Wang Y.]Beijing Engineering Research Centre of Urban Transport Operation Guarantee, Beijing University of Technology, No.100 Pingleyuan, Chaoyang District, Beijing, 100124, China
  • [ 2 ] [Bi M.]Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, No.100 Pingleyuan, Chaoyang District, Beijing, 100124, China
  • [ 3 ] [Chen Y.]Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, No.100 Pingleyuan, Chaoyang District, Beijing, 100124, China

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Source :

Promet - Traffic - Traffico

ISSN: 0353-5320

Year: 2020

Issue: 6

Volume: 32

Page: 875-885

ESI Discipline: ENGINEERING;

ESI HC Threshold:115

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 17

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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