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Operational cost analysis for e-commerce deliveries using agent-based modeling and simulation

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  • Alves, Roberta
  • Pereira, Cecília Aparecida
  • Lima, Renato da Silva

Abstract

The COVID-19 pandemic has highlighted the growth of e-commerce around the world. Especially in developing countries, assisted home delivery (AHD) is the main way for people to receive their goods purchased online. This delivery policy can result in delivery failure when the consumer is not at home and, consequently, in greater externalities that impact all stakeholders in last mile logistics. This paper aims to evaluate the operating costs of delivery lockers (DLs) through agent-based modeling and simulation. A total of 84 scenarios were simulated alternating the DLs usage rate and different delivery attempt policies. The results show that the most impacting system costs are time, external and re-delivery costs. The implementation of DLs and the exclusion of the three-attempt delivery together can reduce these costs and increase net profit by up to 79.1%. Therefore, DLs have economic potential for last mile logistics operations. However, this solution must be accompanied by incentive policies resulting from stakeholder engagement. We hope that this study contributes to a greater understanding of DLs as a sustainable solution for last mile e-commerce deliveries, helping decision makers in urban freight transport.

Suggested Citation

  • Alves, Roberta & Pereira, Cecília Aparecida & Lima, Renato da Silva, 2023. "Operational cost analysis for e-commerce deliveries using agent-based modeling and simulation," Research in Transportation Economics, Elsevier, vol. 101(C).
    • Handle: RePEc:eee:retrec:v:101:y:2023:i:c:s0739885923000884
    DOI: 10.1016/j.retrec.2023.101348
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    1. Elbert, R. & Friedrich, C., 2018. "Simulation-based Evaluation of Urban Consolidation Centers Considering Urban Access Regulations," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 110820, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    2. Xueqin Wang & Yiik Diew Wong & Kum Fai Yuen, 2021. "Does COVID-19 Promote Self-Service Usage among Modern Shoppers? An Exploration of Pandemic-Driven Behavioural Changes in Self-Collection Users," IJERPH, MDPI, vol. 18(16), pages 1-22, August.
    3. Rhandal Masteguim & Claudio B. Cunha, 2022. "An Optimization-Based Approach to Evaluate the Operational and Environmental Impacts of Pick-Up Points on E-Commerce Urban Last-Mile Distribution: A Case Study in São Paulo, Brazil," Sustainability, MDPI, vol. 14(14), pages 1-24, July.
    4. Xuping Wang & Linmin Zhan & Junhu Ruan & Jun Zhang, 2014. "How to Choose “Last Mile” Delivery Modes for E-Fulfillment," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-11, June.
    5. Dariusz Milewski & Beata Milewska, 2021. "The Energy Efficiency of the Last Mile in the E-Commerce Distribution in the Context the COVID-19 Pandemic," Energies, MDPI, vol. 14(23), pages 1-13, November.
    6. Volker Grimm & Steven F. Railsback & Christian E. Vincenot & Uta Berger & Cara Gallagher & Donald L. DeAngelis & Bruce Edmonds & Jiaqi Ge & Jarl Giske & Jürgen Groeneveld & Alice S.A. Johnston & Alex, 2020. "The ODD Protocol for Describing Agent-Based and Other Simulation Models: A Second Update to Improve Clarity, Replication, and Structural Realism," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 23(2), pages 1-7.
    7. 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.
    8. Bartosz Sawik & Adrian Serrano-Hernandez & Alvaro Muro & Javier Faulin, 2022. "Multi-Criteria Simulation-Optimization Analysis of Usage of Automated Parcel Lockers: A Practical Approach," Mathematics, MDPI, vol. 10(23), pages 1-17, November.
    9. Firdausiyah, N. & Taniguchi, E. & Qureshi, A.G., 2019. "Modeling city logistics using adaptive dynamic programming based multi-agent simulation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 74-96.
    10. 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.
    11. Melkonyan, Ani & Gruchmann, Tim & Lohmar, Fabian & Kamath, Vasanth & Spinler, Stefan, 2020. "Sustainability assessment of last-mile logistics and distribution strategies: The case of local food networks," International Journal of Production Economics, Elsevier, vol. 228(C).
    12. Weltevreden, Jesse W.J. & Rotem-Mindali, Orit, 2009. "Mobility effects of b2c and c2c e-commerce in the Netherlands: a quantitative assessment," Journal of Transport Geography, Elsevier, vol. 17(2), pages 83-92.
    13. Maggi, Elena & Vallino, Elena, 2016. "Understanding urban mobility and the impact of public policies: The role of the agent-based models," Research in Transportation Economics, Elsevier, vol. 55(C), pages 50-59.
    14. Ehrler, Verena Ch & Schöder, Dustin & Seidel, Saskia, 2021. "Challenges and perspectives for the use of electric vehicles for last mile logistics of grocery e-commerce – Findings from case studies in Germany," Research in Transportation Economics, Elsevier, vol. 87(C).
    15. Oliveira, Leise Kelli de & Morganti, Eleonora & Dablanc, Laetitia & Oliveira, Renata Lúcia Magalhães de, 2017. "Analysis of the potential demand of automated delivery stations for e-commerce deliveries in Belo Horizonte, Brazil," Research in Transportation Economics, Elsevier, vol. 65(C), pages 34-43.
    16. Gabriele Iannaccone & Edoardo Marcucci & Valerio Gatta, 2021. "What Young E-Consumers Want? Forecasting Parcel Lockers Choice in Rome," Logistics, MDPI, vol. 5(3), pages 1-16, August.
    17. Bruno Durand & Sonia Mahjoub & Marie-Pascale Senkel, 2013. "Delivering to Urban Online Shoppers: The Gains from “Last-Mile” Pooling [La livraison des internautes urbains : les atouts de la mutualisation du dernier kilomètre]," Post-Print hal-01766913, HAL.
    18. Kinga Kijewska & João Guilherme Costa Braga França & Leise Kelli de Oliveira & Stanislaw Iwan, 2022. "Evaluation of Urban Mobility Problems and Freight Solutions from Residents’ Perspectives: A Comparison of Belo Horizonte (Brazil) and Szczecin (Poland)," Energies, MDPI, vol. 15(3), pages 1-22, January.
    19. Maltese, Ila & Le Pira, Michela & Marcucci, Edoardo & Gatta, Valerio & Evangelinos, Christos, 2021. "Grocery or @grocery: A stated preference investigation in Rome and Milan," Research in Transportation Economics, Elsevier, vol. 87(C).
    20. Roberta Alves & Renato da Silva Lima & David Custódio de Sena & Alexandre Ferreira de Pinho & José Holguín-Veras, 2019. "Agent-Based Simulation Model for Evaluating Urban Freight Policy to E-Commerce," Sustainability, MDPI, vol. 11(15), pages 1-19, July.
    21. Marcucci, Edoardo & Le Pira, Michela & Gatta, Valerio & Inturri, Giuseppe & Ignaccolo, Matteo & Pluchino, Alessandro, 2017. "Simulating participatory urban freight transport policy-making: Accounting for heterogeneous stakeholders’ preferences and interaction effects," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 103(C), pages 69-86.
    22. R G Sargent, 2013. "Verification and validation of simulation models," Journal of Simulation, Taylor & Francis Journals, vol. 7(1), pages 12-24, February.
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    More about this item

    Keywords

    Last mile delivery; City logistics; e-commerce; Agent-based model; Simulation; Delivery cost;
    All these keywords.

    JEL classification:

    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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