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Methodology for Prioritizing Best Practices Applied to the Sustainable Last Mile—The Case of a Brazilian Parcel Delivery Service Company

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  • Tássia Faria de Assis

    (Program of Transportation Engineering, Instituto Alberto Luiz Coimbra de Pós Graduação e Pesquisa em Engenharia (COPPE), Federal University of Rio de Janeiro (UFRJ), Technology Center, Building H–Room 117, Rio de Janeiro 999074, Brazil)

  • Victor Hugo Souza de Abreu

    (Program of Transportation Engineering, Instituto Alberto Luiz Coimbra de Pós Graduação e Pesquisa em Engenharia (COPPE), Federal University of Rio de Janeiro (UFRJ), Technology Center, Building H–Room 117, Rio de Janeiro 999074, Brazil)

  • Mariane Gonzalez da Costa

    (Program of Transportation Engineering, Instituto Alberto Luiz Coimbra de Pós Graduação e Pesquisa em Engenharia (COPPE), Federal University of Rio de Janeiro (UFRJ), Technology Center, Building H–Room 117, Rio de Janeiro 999074, Brazil)

  • Marcio de Almeida D’Agosto

    (Program of Transportation Engineering, Instituto Alberto Luiz Coimbra de Pós Graduação e Pesquisa em Engenharia (COPPE), Federal University of Rio de Janeiro (UFRJ), Technology Center, Building H–Room 117, Rio de Janeiro 999074, Brazil)

Abstract

The ever-increasing impacts of the last mile delivery sector on the environment and the quality of life of the urban population, such as increased congestion, demand best practices to be incorporated by companies to reduce impacts such as emission of air pollutants and Greenhouse Gases (GHG) and depletion of natural resources, among others. However, a myriad of strategies has been developed for this purpose but there is a lack of methodologies that allow the choice of the best ones for a specific case. Therefore, this study looks for those best practices to be employed through an innovative methodology that consists of SWOT analysis (Strengths, Weaknesses, Opportunities, and Threats), a map of strategies of the delivery service, and using the Sustainability Balanced Scorecard (SBSC) and the Analytic Hierarchy Process (AHP), with the differential of considering the peculiarities of each company. The results applied in a Brazilian last mile delivery service company show that best practices such as route optimization, implementation of new infrastructure and business models for urban deliveries, and use of information systems for fleet tracking and monitoring contribute significantly to improving performance indicators and achieving the sector’s goal to become more sustainable, and especially meeting the Sustainable Development Goals (SDGs) 8, 9, 11, and 17.

Suggested Citation

  • Tássia Faria de Assis & Victor Hugo Souza de Abreu & Mariane Gonzalez da Costa & Marcio de Almeida D’Agosto, 2022. "Methodology for Prioritizing Best Practices Applied to the Sustainable Last Mile—The Case of a Brazilian Parcel Delivery Service Company," Sustainability, MDPI, vol. 14(7), pages 1-24, March.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:7:p:3812-:d:778129
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    References listed on IDEAS

    as
    1. Mehmann, Jens & Frehe, Volker & Teuteberg, Frank, 2015. "Crowd Logistics − A Literature Review and Maturity Model," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Innovations and Strategies for Logistics and Supply Chains: Technologies, Business Models and Risk Management. Proceedings of the Hamburg Internationa, volume 20, pages 117-145, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    2. Marta Viu-Roig & Eduard J. Alvarez-Palau, 2020. "The Impact of E-Commerce-Related Last-Mile Logistics on Cities: A Systematic Literature Review," Sustainability, MDPI, vol. 12(16), pages 1-19, August.
    3. 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.
    4. Luce Brotcorne & Guido Perboli & Mariangela Rosano & Qu Wei, 2019. "A Managerial Analysis of Urban Parcel Delivery: A Lean Business Approach," Sustainability, MDPI, vol. 11(12), pages 1-23, June.
    5. Nils Boysen & Stefan Fedtke & Stefan Schwerdfeger, 2021. "Last-mile delivery concepts: a survey from an operational research perspective," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 43(1), pages 1-58, March.
    6. Paraskevi Karanikola & Thomas Panagopoulos & Stilianos Tampakis & Georgios Tsantopoulos, 2018. "Cycling as a Smart and Green Mode of Transport in Small Touristic Cities," Sustainability, MDPI, vol. 10(1), pages 1-18, January.
    7. Maria Julia Xavier Belem & Milton Vieira Junior & Giovanni Mummolo & Francesco Facchini, 2021. "An AHP-Based Procedure for Model Selection for Eco-Efficiency Assessment," Sustainability, MDPI, vol. 13(21), pages 1-21, November.
    8. 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).
    9. Global Energy Assessment Writing Team,, 2012. "Global Energy Assessment," Cambridge Books, Cambridge University Press, number 9781107005198, October.
    10. Jesus Gonzalez-Feliu, 2011. "Costs and benefits of logistics pooling for urban freight distribution: scenario simulation and assessment for strategic decision support," Post-Print halshs-00688967, HAL.
    11. Jessica Wehner, 2018. "Energy Efficiency in Logistics: An Interactive Approach to Capacity Utilisation," Sustainability, MDPI, vol. 10(6), pages 1-19, May.
    12. Letnik, Tomislav & Marksel, Maršenka & Luppino, Giuseppe & Bardi, Andrea & Božičnik, Stane, 2018. "Review of policies and measures for sustainable and energy efficient urban transport," Energy, Elsevier, vol. 163(C), pages 245-257.
    13. Magali Jara & Dany Vyt & Olivier Mevel & Thierry Morvan & Nélida Morvan, 2018. "Measuring customers benefits of click and collect," Post-Print halshs-01806403, HAL.
    14. João Leitão & Sónia de Brito & Serena Cubico, 2019. "Eco-Innovation Influencers: Unveiling the Role of Lean Management Principles Adoption," Sustainability, MDPI, vol. 11(8), pages 1-27, April.
    15. Global Energy Assessment Writing Team,, 2012. "Global Energy Assessment," Cambridge Books, Cambridge University Press, number 9780521182935, October.
    16. Anuj Mittal & Caroline C. Krejci & Teri J. Craven, 2018. "Logistics Best Practices for Regional Food Systems: A Review," Sustainability, MDPI, vol. 10(1), pages 1-44, January.
    17. Louis Faugère & Chelsea White & Benoit Montreuil, 2020. "Mobile Access Hub Deployment for Urban Parcel Logistics," Sustainability, MDPI, vol. 12(17), pages 1-22, September.
    18. Karine Evrard Samuel & Parisa Dolati Neghabadi & Marie-Laure Espinouse, 2016. "City logistics: a review and research framework," Post-Print hal-02056253, HAL.
    19. Huang, Yuhan & Ng, Elvin C.Y. & Zhou, John L. & Surawski, Nic C. & Chan, Edward F.C. & Hong, Guang, 2018. "Eco-driving technology for sustainable road transport: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 596-609.
    20. Justyna Lemke & Kinga Kijewska & Stanisław Iwan & Tomasz Dudek, 2021. "Six Sigma in Urban Logistics Management—A Case Study," Sustainability, MDPI, vol. 13(8), pages 1-16, April.
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