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Analysis of Decision Parameters for Route Plans and Their Importance for Sustainability: An Exploratory Study Using the TOPSIS Technique

Author

Listed:
  • Alice Vasconcelos Nobre

    (Production Engineering Course, State University of Pará, Castanhal 68745-000, Brazil)

  • Caio Cézar Rodrigues Oliveira

    (Production Engineering Course, State University of Pará, Castanhal 68745-000, Brazil)

  • Denilson Ricardo de Lucena Nunes

    (Department of Production Engineering, State University of Pará, Castanhal 68745-000, Brazil)

  • André Cristiano Silva Melo

    (Postgraduate Program in Technology, Natural Resources and Sustainability in the Amazon (PPGTEC/CCNT/UEPA), Department of Production Engineering, State University of Pará, Belém 66095-015, Brazil)

  • Gil Eduardo Guimarães

    (Production Engineering Course, Universidade de Cruz Alta, Cruz Alta 98005-972, Brazil)

  • Rosley Anholon

    (Faculty of Mechanical Engineering, University of Campinas, Campinas 13083-860, Brazil)

  • Vitor William Batista Martins

    (Postgraduate Program in Technology, Natural Resources and Sustainability in the Amazon (PPGTEC/CCNT/UEPA), Department of Production Engineering, State University of Pará, Belém 66095-015, Brazil)

Abstract

Background: This study aimed to identify the most widespread performance objectives for the vehicle routing problem, the degree of comparative importance attributed to each of these performance objectives in the opinion of professionals in the logistics area working in Brazil and also relate them to aspects of sustainability considering environmental, economic and social issues. Methods: To this end, a literature review was carried out in the area and a survey was developed with professionals through a structured questionnaire. The collected data were treated using the TOPSIS multi-criteria technique. Results: The results indicate that the performance objectives in route plans “level of service”, “total number of vehicles” and “total distance travelled” are the ones that, in the opinion of the professionals participating in the research, have greater importance in the planning and elaboration of plan routes and that such objectives directly impact the sustainable results of a given organization. Conclusions: The results can serve as a basis for researchers in the area who aim to broaden the debates on this topic and for logistics operations managers who work directly with planning and elaboration of route plans and who aim to make their operations more sustainable. Therefore, this research addresses the literature gap by identifying which performance objectives should be considered in the elaboration of route plans and how they relate to sustainability guidelines. It is noteworthy that no other study with a similar objective was identified in the literature.

Suggested Citation

  • Alice Vasconcelos Nobre & Caio Cézar Rodrigues Oliveira & Denilson Ricardo de Lucena Nunes & André Cristiano Silva Melo & Gil Eduardo Guimarães & Rosley Anholon & Vitor William Batista Martins, 2022. "Analysis of Decision Parameters for Route Plans and Their Importance for Sustainability: An Exploratory Study Using the TOPSIS Technique," Logistics, MDPI, vol. 6(2), pages 1-12, May.
    • Handle: RePEc:gam:jlogis:v:6:y:2022:i:2:p:32-:d:818994
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    References listed on IDEAS

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    1. Gendreau, Michel & Laporte, Gilbert & Seguin, Rene, 1996. "Stochastic vehicle routing," European Journal of Operational Research, Elsevier, vol. 88(1), pages 3-12, January.
    2. Richard Eglese & Sofoclis Zambirinis, 2018. "Disruption management in vehicle routing and scheduling for road freight transport: a review," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 26(1), pages 1-17, April.
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    9. Lorena Reyes-Rubiano & Laura Calvet & Angel A. Juan & Javier Faulin & Lluc Bové, 2020. "A biased-randomized variable neighborhood search for sustainable multi-depot vehicle routing problems," Journal of Heuristics, Springer, vol. 26(3), pages 401-422, June.
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    Cited by:

    1. Shih-Che Lo, 2022. "A Particle Swarm Optimization Approach to Solve the Vehicle Routing Problem with Cross-Docking and Carbon Emissions Reduction in Logistics Management," Logistics, MDPI, vol. 6(3), pages 1-15, September.
    2. Zhiqiang Liu & Yanqi Niu & Caiyun Guo & Shitong Jia, 2023. "A Vehicle Routing Optimization Model for Community Group Buying Considering Carbon Emissions and Total Distribution Costs," Energies, MDPI, vol. 16(2), pages 1-20, January.
    3. Vitor William Batista Martins & Denilson Ricardo de Lucena Nunes & André Cristiano Silva Melo & Rayra Brandão & Antônio Erlindo Braga Júnior & Verônica de Menezes Nascimento Nagata, 2022. "Analysis of the Activities That Make Up the Reverse Logistics Processes and Their Importance for the Future of Logistics Networks: An Exploratory Study Using the TOPSIS Technique," Logistics, MDPI, vol. 6(3), pages 1-17, August.

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