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Flexible parcel delivery to automated parcel lockers: models, solution methods and analysis

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  • Ido Orenstein

    (Tel Aviv University)

  • Tal Raviv

    (Tel Aviv University)

  • Elad Sadan

    (Tel Aviv University)

Abstract

In this study, we introduce a logistic model for the delivery of small parcels to a set of service points (SPs), and we present effective methods for solving it. In the traditional delivery model, each recipient specifies a single location at which they wish to receive the parcel; however, when SPs are used, many recipients may have no strong preference among several locations, e.g., near the recipient’s home address, near the recipient’s office, or in the recipient’s favorite shopping mall. If some recipients are flexible and willing to provide the sender with more than one delivery location, it is possible to perform the delivery task at lower cost and within a shorter amount of time. Our solution methods are based on the concepts of the savings heuristic, the petal method and tabu search with a large neighborhood. An extensive numerical study is conducted to evaluate our solution methods and demonstrate the benefits of our model compared to the traditional nonflexible one. We also present a simulation study to demonstrate that our model can be adapted to a stochastic and dynamic environment.

Suggested Citation

  • Ido Orenstein & Tal Raviv & Elad Sadan, 2019. "Flexible parcel delivery to automated parcel lockers: models, solution methods and analysis," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 8(5), pages 683-711, December.
    • Handle: RePEc:spr:eurjtl:v:8:y:2019:i:5:d:10.1007_s13676-019-00144-7
    DOI: 10.1007/s13676-019-00144-7
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    References listed on IDEAS

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    Cited by:

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    4. Liu, Yubin & Ye, Qiming & Escribano-Macias, Jose & Feng, Yuxiang & Candela, Eduardo & Angeloudis, Panagiotis, 2023. "Route planning for last-mile deliveries using mobile parcel lockers: A hybrid q-learning network approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 177(C).
    5. Christian Tilk & Katharina Olkis & Stefan Irnich, 2021. "The last-mile vehicle routing problem with delivery options," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 43(4), pages 877-904, December.
    6. Nima Pourmohammadreza & Mohammad Reza Akbari Jokar, 2023. "A Novel Two-Phase Approach for Optimization of the Last-Mile Delivery Problem with Service Options," Sustainability, MDPI, vol. 15(10), pages 1-25, May.
    7. Michal Stojanov, 2022. "Automated Parcel Terminals - Commercialization of the System for Automated Post Services," Izvestia Journal of the Union of Scientists - Varna. Economic Sciences Series, Union of Scientists - Varna, Economic Sciences Section, vol. 11(2), pages 21-28, August.
    8. Yu, Vincent F. & Jodiawan, Panca & Redi, A.A.N. Perwira, 2022. "Crowd-shipping problem with time windows, transshipment nodes, and delivery options," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    9. Wang, Yang & Bi, Mengyu & Lai, Jianhui & Wang, Chenxi & Chen, Yanyan & Holguín-Veras, José, 2024. "Recourse strategy for the routing problem of mobile parcel lockers with time windows under uncertain demands," European Journal of Operational Research, Elsevier, vol. 316(3), pages 942-957.
    10. Kahr, Michael, 2022. "Determining locations and layouts for parcel lockers to support supply chain viability at the last mile," Omega, Elsevier, vol. 113(C).
    11. Schwerdfeger, Stefan & Boysen, Nils, 2020. "Optimizing the changing locations of mobile parcel lockers in last-mile distribution," European Journal of Operational Research, Elsevier, vol. 285(3), pages 1077-1094.
    12. Massimo Di Gangi & Antonio Polimeni & Orlando Marco Belcore, 2023. "Freight Distribution in Small Islands: Integration between Naval Services and Parcel Lockers," Sustainability, MDPI, vol. 15(9), pages 1-15, May.
    13. Nadia Giuffrida & Jenny Fajardo-Calderin & Antonio D. Masegosa & Frank Werner & Margarete Steudter & Francesco Pilla, 2022. "Optimization and Machine Learning Applied to Last-Mile Logistics: A Review," Sustainability, MDPI, vol. 14(9), pages 1-16, April.
    14. Heimfarth, Andreas & Ostermeier, Manuel & Hübner, Alexander, 2022. "A mixed truck and robot delivery approach for the daily supply of customers," European Journal of Operational Research, Elsevier, vol. 303(1), pages 401-421.
    15. Lin, Yunhui & Wang, Yuan & Lee, Loo Hay & Chew, Ek Peng, 2022. "Profit-maximizing parcel locker location problem under threshold Luce model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    16. Orenstein, Ido & Raviv, Tal, 2022. "Parcel delivery using the hyperconnected service network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    17. Roberta Alves & Renato da Silva Lima & Leise Kelli De Oliveira & Alexandre Ferreira de Pinho, 2022. "Conceptual Framework for Evaluating E-Commerce Deliveries Using Agent-Based Modelling and Sensitivity Analysis," Sustainability, MDPI, vol. 14(23), pages 1-18, November.
    18. José M. González-Varona & Félix Villafáñez & Fernando Acebes & Alfonso Redondo & David Poza, 2020. "Reusing Newspaper Kiosks for Last-Mile Delivery in Urban Areas," Sustainability, MDPI, vol. 12(22), pages 1-27, November.
    19. Jasmin Grabenschweiger & Karl F. Doerner & Richard F. Hartl & Martin W. P. Savelsbergh, 2021. "The vehicle routing problem with heterogeneous locker boxes," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(1), pages 113-142, March.

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